Data Analyst Jobs in San Pablo, CA

Ohana Real Estate Investors is a vertically integrated real estate investment firm with expertise across hotel, residential, and development projects. Founded in 2009, our expert team acquires, develops and finances high-quality real estate in desirable locations with long-term growth potential for a total of $4.5B+ in investments to date. Our investment process is rooted in humility, powered by collaboration, and strengthened by our team's diverse perspectives and skillsets. Ohana's Investments team is lean and growing quickly. The team is looking to hire a candidate who will thrive in a dynamic, entrepreneurial environment and grow with the firm. Responsibilities The Analyst / Associate will provide analytical and execution support for the acquisition, recapitalization, financing / refinancing, and disposition of hotels and hospitality-related businesses. Key responsibilities will include: Create financial models and other financial analyses to evaluate investments Conduct research and due diligence of prospective opportunities including financial, market, and legal diligence Support fundraising efforts and potential / existing investor relationship management Prepare and present investment and investor materials Participate in sourcing and identifying potential acquisition opportunities Work with other internal Ohana teams and experts to develop and evaluate business plans for prospective and existing investments Meet with sellers, investors, and advisors Qualifications 1-3 years of relevant experience (title commensurate with experience) Superior analytical, quantitative, and technical skills High integrity with strong work ethic and attention to detail Undergraduate degree with 3.5 GPA or higher Proficient in Microsoft Excel, PowerPoint, and Word Excellent written and verbal communication skills Ability to travel for due diligence / meetings Corporate finance and accounting backgrounds preferred, but not mandatory Salary Range: $100,000 - $135,000 + Discretionary Bonus

Job Title: Engineer: Performance - II Contract - W2 Duration: 1+ Year or 18 Months Please share resume on **************************** Job Requirements/Responsibilities: We are seeking a skilled and detail-oriented Chromebook Benchmarking & Pathfinding Data Analyst to join our team. In this role, you will be responsible for performing rigorous benchmarking on Google Chromebooks. You also will be collecting critical path-finding data to evaluate performance. Finally, you will analyze your benchmarking results and communicate your findings to key stakeholders. Your insights will help us identify areas for improvement and drive product optimization on Qualifications: Bachelor's or M.S. degree in Engineering or a related field (Computer Engineering, Software Engineering, or Electrical Engineering preferred). 3 + years' experience Strong experience with Google Chrome OS and a deep understanding of its features, performance capabilities, and potential bottlenecks. Familiar with running benchmarks/workloads on Chromebooks Proficient in analyzing and interpreting technical data and generating actionable insights. Excellent communication skills, both written and verbal Ability to work independently and as part of a team

Business Integration Partners (BIP) is Europe's fastest growing digital consulting company and are on track to reach the Top 20 by 2025, with an expanding global footprint in the US (New York, Boston, Chicago, Tampa, Charlotte, Dallas, and Houston). Operating at the intersection of business and technology we design, develop, and deliver sustainable solutions at pace and scale creating greater value for our customers, employees, shareholders, and society. Position Overview: BIP US is seeking to grow its US consulting team and is looking for a Data Scientist with 5-7 years of experience to join our BIP Bay Area consulting team. This consultant will work at the intersection of Finance and Engineering, helping us optimize revenue, track key financial metrics, and improve decision-making with data-driven insights. This consultant must thrive in fast-paced environments, have a passion for digging into data to drive business strategy, and be able to bridge the gap between Finance and Engineering. You must have valid US work authorization and must physically reside in the Bay Area, within a 50-mile commute. We are unable to support relocation costs. Please do not apply for this position unless you meet the criteria outlined above. Key Responsibilities: Usage-Based Billing Analysis - Develop and refine billing models by product, ensuring alignment between revenue and usage data. Tracking Credits & Cost Margin Analysis - Monitor credit usage and analyze cost margins to optimize pricing strategies. Churn Modeling & Customer Retention - Build predictive models to identify risk factors for customer churn and develop strategies to improve retention. Agent Conversion Analytics - Analyze user behavior and engagement data to improve conversion rates from free to paid customers. Cycle Tracking & ARR Waterfall - Monitor customer lifecycle trends, track Annual Recurring Revenue (ARR) movements, and forecast financial outcomes. Cross-functional Collaboration - Work closely with Finance, Product, and Engineering teams to ensure data insights drive strategic business decisions. Qualifications: Bachelor's degree and 5-7 years of experience in Data Science, Analytics, or a related field. Strong expertise in data analytics, financial modeling, and business intelligence. Experience with programs & tools such as Hashboard, Amplitude, Stripe, Google, Apple, DBT Labs, Bitquery, and Python. Exceptional communication and storytelling skills - ability to present complex data in a clear and compelling way to executives. Strong problem-solving skills with a curious and proactive mindset -analyzing data, asking the right questions and finding solutions accordingly. Experience working cross-functionally with Finance (CFO/FP&A) and Engineering teams. Ability to thrive in ambiguity and adapt quickly in a high-growth startup environment. **The base salary range for this role is $150,000-$175,000** Benefits: Choice of medical, dental, vision insurance. Voluntary benefits. Short- and long-term disability. HSA and FSAs. Matching 401k. Discretionary performance bonus. Employee referral bonus. Employee assistance program. 9 public holidays. 22 days PTO. PTO buy and sell program. Volunteer days. Paid parental leave. Remote/hybrid work environment support. For more information about BIP US, visit ********************************* Equal Employment Opportunity: It is BIP US Consulting policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship, or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds. BIP US provides a reasonable range of compensation for our roles. Actual compensation is influenced by a wide array of factors including but not limited to skill set, education, level of experience, and knowledge.

Brahma Consulting Group is a Recruitment firm powered by a mission to deliver personalized, industry-focused recruitment solutions. We are currently assisting our client, a global leader in enterprise-grade data analytics and AI solutions, in their search for a Data Scientist in Mountain View, CA. This is a full-time permanent position. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) 3+ Years of Banking / Payments analytics experience preferably in a consulting set-up Strong experience of developing and deploying Predictive/ML solutions Proficiency in SQL, Tableau, Python Strong experience in Big Data Technologies like Hadoop, Spark or similar platforms Excellent communication skills and strong stakeholder management experience Strong problem-solving skills Proficiency in Mandarin is a plus

San Francisco We're transforming e-commerce by making it easy for brands to plug in with top-quality manufacturers around the world, leveraging cutting-edge AI technology to streamline and optimize every aspect of the process. Shopify made it easy for brands to sell products, but getting those products made is painful. Join us as we build the world's first AI product sourcing agent and usher in a new era of e-commerce - helping brands tap into the global manufacturing ecosystem and easily launch new products. We're a team of builders, operators, and investors from Stripe, Google, Amazon, Palantir, and Anduril. We're well funded and have already built our core technology. Learn more about Cavela at *********************** What we're looking for We're looking for someone to lead and build out Cavela's business operations as our first business hire. Responsibilities User Engagement: Meticulously track and manage users' sourcing projects from initial request to final delivery, ensuring timely follow-up and high satisfaction, and constant communication throughout. Supplier Coordination: Liaise with our sourcing team in Asia to relay user needs to suppliers, interpret supplier updates, and communicate them effectively back to users. Systems Creation: Build and optimize operational systems to enhance the product sourcing experience, leveraging advanced AI and technology to automate and refine workflows. Product Collaboration: Partner with our design team to transform user feedback and UX insights into impactful product improvements, ensuring that AI and technology drive the development of sophisticated systems and features. Growth Initiatives: Identify and build out new channels for customer acquisition, contributing to company growth. Requirements Experience: 3+ years in building and scaling operations. Sourcing Expertise: Experience with supplier relations and product sourcing specifically - ideally related to the apparel/accessories product space. Product Minded: Able to understand user needs and work closely with design teams to shape a compelling product experience. Systems Thinker: Skilled in planning and building end-to-end workflows, from user requests through supplier coordination, with a strong emphasis on technological integration. Communication Skills: Excellent interpersonal abilities for cross-cultural, cross-functional collaboration across users, suppliers, design, and operations teams. Flexibility: Adaptable to irregular working hours. Important due to the global distribution of suppliers. About us We're a group of driven, passionate people from all over the world fired up about building ambitious, high impact products that matter. We're ex-Stripe/-Google/-Amazon from MIT, Dartmouth, Parsons, and McGill, with a ton of startup experience, and some extraordinary advisors behind us (Palantir, Anduril, Coinbase). We're future-obsessed. We're tackling a complex problem in a new way by leveraging cutting edge technology, and looking to transform an entire industry in the process. How to apply Please get in touch at ****************** - we're always interested in meeting exceptional talent.

TITLE: PMO Data Analyst ANTICIPATED DURATION: 12 months We are seeking a highly analytical and detail-oriented PMO Data Analyst to join our team. This role will be responsible for analyzing and managing a portfolio of projects, focusing on strategic planning, resource allocation, and performance monitoring. The ideal candidate will be proficient in data visualization tools such as Tableau, scripting, and spreadsheet calculations to interpret data and provide actionable insights. PMO Analyst Responsibilities: Analyze a large portfolio of projects to ensure alignment with business objectives. Develop reports and dashboards using Tableau and spreadsheets to communicate project performance. Interpret complex datasets to identify trends, risks, and opportunities for improvement. Collaborate with cross-functional teams to support strategic planning and resource allocation. Monitor project performance metrics and provide insights to enhance decision-making. Utilize scripts and automation tools to streamline data analysis processes. PMO Analyst Requirements:4+ years of experience in data analysis within project management, financial planning, or a similar environment. Strong proficiency in Tableau, spreadsheets (Excel, Google Sheets), and data analysis techniques. Ability to translate data into clear, compelling stories for leadership and stakeholders. Experience working with a PMO or within a business data-focused team. Excellent problem-solving and critical-thinking skills. PMO Analyst Preferred Experience: Knowledge of project management methodologies and tools. Experience with scripting languages for automation and data processing. PMP certification is a plus. The hourly pay rate range for this position is $60 to $65 (dependent on factors including but not limited to client requirements, experience, statutory considerations, and location). Benefits available to full-time employees: medical, dental, vision, disability, life insurance, 401k and commuter benefits. Synergis is proud to be an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, ethnicity, national origin, religion, age, gender, gender identity, political affiliation, sexual orientation, marital status, disability, military/veteran status, or any other status protected by applicable law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the requirements of applicable state and local laws, including but not limited to, the San Francisco Fair Chance Ordinance, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. For immediate consideration, please forward your resume to *********************** If you require assistance or an accommodation in the application or employment process, please contact us at ***********************. Synergis is a workforce solutions partner serving thousands of businesses and job seekers nationwide. Our digital world has accelerated the need for businesses to build IT ecosystems that enable growth and innovation along with enhancing the Total Experience (TX). Synergis partners with our clients at the intersection of talent and transformation to scale their balanced teams of tech, digital and creative professionals. Learn more about Synergis at *******************

Staff Product Analyst Salary: $200K-$240K base + Equity We're hiring a Staff Product Analyst for a hyper-growth, Series E AI company valued at $3B+. This is an opportunity to play a key role in shaping product strategy and growth by leveraging data to drive decisions, optimize user experiences, and unlock new opportunities. What You'll Do: Shape product strategy with data-driven insights - Define key metrics, track user behavior, and identify trends that impact engagement and retention. Deep-dive into user journeys - Uncover friction points and growth levers to enhance adoption, conversion, and retention. Optimize experimentation and A/B testing - Design and analyze tests to improve product features, pricing, and personalization strategies. Develop self-service analytics tools - Build dashboards and automated reporting to empower teams with real-time data. Partner with Product, Engineering & Leadership - Translate complex data into clear, actionable recommendations to improve product performance and business outcomes. What We're Looking For: 7+ years of experience in Product Analytics, preferably within high-growth tech companies. Expert SQL skills and experience working with large-scale product datasets. Proficiency in Python or R, with a strong foundation in statistical analysis and experimentation. Hands-on experience with A/B testing methodologies and user segmentation. Experience with ELT data modeling and BI tools like Looker, Omni, or Hashboard. Strong executive communication skills, with the ability to influence product decisions through data. Thrives in a fast-paced, high-impact environment, with a passion for uncovering insights that drive product growth.

Our client is a private credit investment firm with $2 billion AUM, specializing in Energy / Renewables Credit Investments across diverse asset classes. With a lean, high-caliber team, this role offers a unique opportunity to gain hands-on experience in a dynamic and entrepreneurial environment. Key Responsibilities: Investment Analysis: Perform rigorous financial modeling, underwriting, and due diligence on credit opportunities. Deal Execution: Assist in structuring and negotiating complex transactions to optimize risk-adjusted returns. Portfolio Management: Monitor portfolio performance, assess risk factors, and develop strategic recommendations. Market Research: Analyze industry trends, credit markets, and economic indicators to identify opportunities. Collaboration: Work closely with senior investment professionals and external partners to drive successful outcomes. Qualifications: Education: Bachelor's degree in Finance, Economics, Business, or a related field. Experience: 1-3 years in investment banking, with a preference for Leveraged Finance or M&A backgrounds. Sector Focus: Proven exposure in Energy / Clean Energy / Energy Transition / Renewables. Skills: Strong financial modeling, credit analysis, and transaction execution abilities. Location: Must be based in or willing to relocate to San Francisco, California. How to Apply: For more information or to submit your resume Please contact at ********************** or *****************

⚡ tl;dr Help us get more promising new drugs to market, while helping patients access life changing medicine. Work directly with one of our cofounders to: solve crucial problems across the marketplace, develop our data infrastructure, and build out a broader data team. Join a rapidly growing company (we've ~10x'd in the past 3 quarters) while we're still just a tight-knit team of ~27. Own a number of high-impact data science initiatives across the marketplace: how might we systematize supply-demand balancing; which patients should clinics call first; etc. Work with a product team where everyone writes their own queries, and as a result where Data's role is to provide them leverage (via better infra, models, etc etc). 🧬 Let's accelerate medical innovation At Power, we're making clinical trials easy to navigate for all patients. Today, patients look to promising medical research when standard treatments have failed them. Unfortunately, there is no single source of truth that patients can understand and trust. The status quo is a government run website which is written in complex medical jargon that is impossible for most people to navigate. At the same time, clinical trials are the bottleneck on medical innovation-new medicine takes almost 10 years to test and over 86% of all clinical trials are delayed because they can't find enough patients. This is one of the biggest problems facing the life science industry. Power is the easiest way for patients to access promising new studies. Thus helping more patients find treatments and speeding up the progress of medical research as we go. 🏹 The role We're looking for our first data hire at Power. Up until now, we've operated without a data team by ensuring the product org is able to write their own queries. While this worked well as an early stage company, as we continue to scale we're professionalizing the data function in order to ensure we're learning as much as we can, as fast as we can. Plus, many of the most-impactful product surface areas today are ones where a deeper data science lens would help. To this end, the most important piece of this role is working closely with Power's cofounders to ensure our product teams have a complete grasp of key insights: both by directly contributing to our most-important data-problems, and by building systems that better enable other users to self-serve. From there this role could lean one of few ways: You could scale into a Head of Data role and build out a team here. You could lean further into Data Engineering and build a deep expertise here. You could shift your focus further towards product, and eventually be a key contributor within the product org. 🤔 Some of the problems we'll be working on We don't believe in strict job requirements, but if these problems sound fun and familiar, you're probably well suited for this gig: Building our ranking system that recommends which patient a clinic should call next. Elevating our current systems for balancing supply and demand across the marketplace. Conducting a ‘magic moment' analysis to determine what makes sites on our platform successful Challenging our thinking re: the best possible outputs & leading indicators for us to be monitoring across each of our product streams Codifying user segments in our analysis, such that we can quickly understand which user-groups are best served by new features. Analyzing gaps in ‘self-reported' and ‘EMR-reported' patient attributes, to better understand which questions our patients can reliably answer. Building intuitive views for our demand-side and patient-side user segments, so that our team can analyze feature-product fit across segments. 🎯 About you You've spent a considerable part of your professional life analyzing data. You're probably intimately familiar with both SQL and (Python or R). You're energized by the process of ‘finding out': you take real pleasure in uncovering novel insights & shaping your colleagues' understanding of the world. You're exceptional at communicating data: you're able to imagine intuitive reports & to distill down key findings in a way that non-technical team members can understand. You've demonstrated the ability to contribute strategically, by translating discoveries into recommendations for the broader business. You're wholly comfortable both leading your own analysis and maintaining your own tooling + data stack. This autonomy is something you're excited about, not something that's daunting. You can drive projects independently or work in a highly collaborative, x-functional manner. You naturally balance speed, craft, and business goals. 🌟Nice to haves You have a personal connection to the space: much of our team has close family or friends who've interacted with clinical research from the patient perspective. You have a deep familiarity with marketplace businesses, clinical research, or health tech more broadly. You've led data teams of a larger scale, and will be able to help us see around corners. You have some other ‘spike' or unique strength that would round us out! We're always looking for complementary skills & experiences. You like to dive into the lit in your personal life - whether it be for sleep, nutrition, supplements, or something else entirely. 🔎 The product Power is the most patient-friendly marketplace resource for clinical trials. Comprehensive: we make it easy to search across every trial in North America so patients never feel like they have blind spots Simple: we apply a healthy amount of data engineering and empathy to the reams of unstructured medical data on clinical trials to simplify things for patients that are trying to evaluate potential trials Connected: we help patients proactively reach out to the researchers directly and researchers love connecting with motivated patients ✉️ If this sounds like your kind of adventure We'd love to hear from you. Email ******************

Are you passionate about technology, a critical thinker, and skilled at adapting to changing priorities? If so, the Senior Business Systems Analyst position could be an excellent fit for you. In this role, you'll contribute to the full project lifecycle, from conception to post-deployment, by defining business and functional requirements, tracking project progress, and assessing the effectiveness of deployed initiatives. Your expertise in process mapping, engineering, and modeling, combined with exceptional organizational and analytical abilities, will be critical to your success. The ideal candidate will have demonstrated success in eliciting business requirements through interviews, document analysis, use cases, scenarios, and process analysis. Strong skills in writing business and functional requirement documents are a must. You will play a key role in ensuring alignment between business needs and technology solutions. You will define product vision, prioritize features, and collaborate closely with stakeholders and development teams to drive successful product outcomes. Responsibilities Serve as the liaison between IT and business stakeholders, facilitating analysis, requirements definition, and design activities for new solutions or integration projects. Collaborate with business stakeholders to document business requirements, use cases, and functional specifications, while providing strategic advice on business processes and solutions. Develop a holistic understanding of a broad range of business processes and related systems. Work closely with technical partners to develop and evaluate solution alternatives. Communicate effectively with management, team members, and business partners, both orally and in writing. Analyze and resolve complex business problems, determining suitable IT solutions. Create use cases and participate in user acceptance testing (UAT). Communicate complex concepts clearly to diverse audiences. Own and drive the product vision, strategy, and roadmap in alignment with business objectives. Gather and prioritize product requirements based on business needs, customer feedback, and market trends. Define and track key performance indicators (KPIs) to measure product success and adoption. Work closely with engineering, design, and other teams to ensure timely and high-quality product delivery. Develop go-to-market strategies and collaborate with stakeholders for product launch planning. Qualifications 10+ years of experience as a Business Systems Analyst on small to medium-sized projects. 3+ years of experience in product management, driving product development from concept to launch. Proven ability to create business and functional requirement documents and other relevant BSA artifacts. Strong written and verbal communication skills, with exceptional interpersonal abilities. Bachelor's degree in computer science, Information Technology, or a related field. Demonstrated experience in analyzing large datasets, with strong analytical and problem-solving skills. Highly detail-oriented, meticulous, and self-directed. Proficiency in Microsoft Office Suite (Word, Excel, Visio, PowerPoint, and Outlook). Experience using Jira and Confluence for project management and documentation. Basic knowledge of SQL is required. Experience working in an Agile environment and familiarity with Scrum methodologies. Understanding of market research, competitive analysis, and customer insights to inform product decisions. Experience in the wealth management or financial services industry is a must. If you're looking for an opportunity to make a significant impact in a dynamic and innovative environment, we encourage you to apply.

Hi, Job Title: Senior Data Engineer Duration: Contract to Hire Role Interview Process: Onsite Payrate: 75 to 80/hr. on C2C Responsibilities: Key Responsibilities: Design, develop, and maintain data pipelines using Spark, PySpark, and other big data technologies to process large datasets. Build and optimize complex SQL queries for data extraction, transformation, and loading (ETL) in both batch and real-time workflows. Work with cloud platforms such as AWS, Azure, or GCP to deploy and manage data infrastructure. Collaborate with cross-functional teams to gather data requirements and deliver data solutions that meet business needs. Ensure data quality, integrity, and consistency across different stages of data processing. Optimize and troubleshoot performance of Spark and SQL-based applications. Develop and implement data models and data architectures to support analytics and business intelligence initiatives. Create and maintain automated data workflows and ensure they are scalable and maintainable. Document data processes, architectures, and pipelines to ensure knowledge sharing across teams. Required Skills & Qualifications: Proven experience as a Data Engineer with expertise in Spark and PySpark for distributed data processing. Strong proficiency in SQL, including experience with writing complex queries, performance tuning, and database management. Hands-on experience with cloud platforms (AWS, Azure, or GCP) and their data processing services such as AWS EMR, Azure Databricks, Google BigQuery, etc. In-depth understanding of ETL processes, data modelling, and data warehousing concepts. Experience working with large datasets and optimizing data pipelines for efficiency and scalability. Familiarity with data storage technologies like Hadoop, HDFS, and cloud-based data lakes. Knowledge of version control systems like Git, and experience working in Agile environments. Excellent problem-solving skills and the ability to work in a fast-paced, collaborative team environment. Strong communication skills and the ability to explain technical concepts to non-technical stakeholders. Preferred Qualifications: Experience with containerization and orchestration tools like Docker, Kubernetes, or Apache Airflow. Familiarity with machine learning concepts and integration of data pipelines with ML workflows. Experience with real-time data streaming technologies (Kafka, Apache Flink, etc.). Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.

Century | Urban is a leading Bay Area real estate investment, advisory and asset management firm headquartered in San Francisco, California, with a commitment to excellence, integrity and attention to detail in every aspect of its work. Only Candidates located in the Bay Area will considered for this position. Century | Urban is expanding its real estate advisory and asset management platform and is seeking a Financial Analyst to play an integral role as a member of our growing team with responsibility for financial analytics including pro-forma modeling, asset management support of a Bay Area real estate portfolio, economic analysis, and market research. This role will require a “utility player” located in the Bay Area that working on high profile real estate advisory engagements and asset management of leading commercial properties throughout the Bay Area. The Financial Analyst role represents an exciting opportunity to work as part of a team and advance one's real estate skills by working on some of the largest and most notable transactions in the Bay Area, in addition to contributing to a successful boutique real estate advisory and asset management firm. The firm prides itself on a collaborative and collegial working environment assisting San Francisco based for-profit companies, public agencies and non-profits. The Financial Analyst position will require being onsite a minimum of three days per week. This is a full-time position reporting to the Managing Principals of the firm with potential to grow into an Associate Vice President role. Advisory Position Responsibilities: Prepare economic and underwriting analysis in Microsoft Excel to evaluate development projects, existing assets, portfolio level valuation and feasibility (all product types) on Bay Area advisory engagements. Assist in underwriting and performing due diligence on multifamily apartments, office, industrial and hotel projects in the Bay Area. Perform market research including rental comparables, sales comps, economic and demographic trends, and asset specific due diligence with written summaries. Interact with client executives and work directly with the Managing Principals to execute advisory assignments. Attend client meetings, prepare client materials and present findings to clients. Asset Management Position Responsibilities: Perform asset management responsibilities on an institutional quality commercial portfolio. Guide and manage leasing efforts of third-party brokers on both stabilized and value-add assets including office and industrial. Work with third-party property managers to implement acquisition business plans and asset strategies. Analyze and monitor renovation programs and coordinate with lenders and capital partners on progress reporting. In conjunction with annual budgeting process, update cash flow models to reflect leasing and operating activities. Position Requirements: 2-5 years of related work experience in financial analysis, asset management, consulting, brokerage, appraisal or accounting. Strong organizational skills with ability to prioritize and manage multiple tasks in a timely manner. Highly analytical and detail oriented with strong communication skills. Self-starter willing to challenge themselves in an entrepreneurial environment. Bachelor's degree required with business, real estate or finance concentration. Strong knowledge of Outlook, Excel, Word and PowerPoint.

Business Integration Partners (BIP) is Europe's fastest growing digital consulting company and are on track to reach the Top 20 by 2025, with an expanding global footprint in the US (New York, Boston, Chicago, Tampa, Charlotte, Dallas, and Houston). Operating at the intersection of business and technology we design, develop, and deliver sustainable solutions at pace and scale creating greater value for our customers, employees, shareholders, and society. Position Overview: BIP US is seeking to grow its US consulting team and is looking for a Data Scientist with 5-7 years of experience to join our BIP Bay Area consulting team. This consultant will work at the intersection of Finance and Engineering, helping us optimize revenue, track key financial metrics, and improve decision-making with data-driven insights. This consultant must thrive in fast-paced environments, have a passion for digging into data to drive business strategy, and be able to bridge the gap between Finance and Engineering. You must have valid US work authorization and must physically reside in the Bay Area, within a 50-mile commute. We are unable to support relocation costs. Please do not apply for this position unless you meet the criteria outlined above. Key Responsibilities: Usage-Based Billing Analysis - Develop and refine billing models by product, ensuring alignment between revenue and usage data. Tracking Credits & Cost Margin Analysis - Monitor credit usage and analyze cost margins to optimize pricing strategies. Churn Modeling & Customer Retention - Build predictive models to identify risk factors for customer churn and develop strategies to improve retention. Agent Conversion Analytics - Analyze user behavior and engagement data to improve conversion rates from free to paid customers. Cycle Tracking & ARR Waterfall - Monitor customer lifecycle trends, track Annual Recurring Revenue (ARR) movements, and forecast financial outcomes. Cross-functional Collaboration - Work closely with Finance, Product, and Engineering teams to ensure data insights drive strategic business decisions. Qualifications: Bachelor's degree and 5-7 years of experience in Data Science, Analytics, or a related field. Strong expertise in data analytics, financial modeling, and business intelligence. Experience with programs & tools such as Hashboard, Amplitude, Stripe, Google, Apple, DBT Labs, Bitquery, and Python. Exceptional communication and storytelling skills - ability to present complex data in a clear and compelling way to executives. Strong problem-solving skills with a curious and proactive mindset -analyzing data, asking the right questions and finding solutions accordingly. Experience working cross-functionally with Finance (CFO/FP&A) and Engineering teams. Ability to thrive in ambiguity and adapt quickly in a high-growth startup environment. **The base salary range for this role is $150,000-$175,000** Benefits: Choice of medical, dental, vision insurance. Voluntary benefits. Short- and long-term disability. HSA and FSAs. Matching 401k. Discretionary performance bonus. Employee referral bonus. Employee assistance program. 9 public holidays. 22 days PTO. PTO buy and sell program. Volunteer days. Paid parental leave. Remote/hybrid work environment support. For more information about BIP US, visit ********************************* Equal Employment Opportunity: It is BIP US Consulting policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship, or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds. BIP US provides a reasonable range of compensation for our roles. Actual compensation is influenced by a wide array of factors including but not limited to skill set, education, level of experience, and knowledge.

Ohana Real Estate Investors is a vertically integrated real estate investment firm with expertise across hotel, residential, and development projects. Founded in 2009, our expert team acquires, develops and finances high-quality real estate in desirable locations with long-term growth potential for a total of $4.5B+ in investments to date. Our investment process is rooted in humility, powered by collaboration, and strengthened by our team's diverse perspectives and skillsets. Ohana's Investments team is lean and growing quickly. The team is looking to hire a candidate who will thrive in a dynamic, entrepreneurial environment and grow with the firm. Responsibilities The Analyst / Associate will provide analytical and execution support for the acquisition, recapitalization, financing / refinancing, and disposition of hotels and hospitality-related businesses. Key responsibilities will include: Create financial models and other financial analyses to evaluate investments Conduct research and due diligence of prospective opportunities including financial, market, and legal diligence Support fundraising efforts and potential / existing investor relationship management Prepare and present investment and investor materials Participate in sourcing and identifying potential acquisition opportunities Work with other internal Ohana teams and experts to develop and evaluate business plans for prospective and existing investments Meet with sellers, investors, and advisors Qualifications 1-3 years of relevant experience (title commensurate with experience) Superior analytical, quantitative, and technical skills High integrity with strong work ethic and attention to detail Undergraduate degree with 3.5 GPA or higher Proficient in Microsoft Excel, PowerPoint, and Word Excellent written and verbal communication skills Ability to travel for due diligence / meetings Corporate finance and accounting backgrounds preferred, but not mandatory Salary Range: $100,000 - $135,000 + Discretionary Bonus

San Francisco We're transforming e-commerce by making it easy for brands to plug in with top-quality manufacturers around the world, leveraging cutting-edge AI technology to streamline and optimize every aspect of the process. Shopify made it easy for brands to sell products, but getting those products made is painful. Join us as we build the world's first AI product sourcing agent and usher in a new era of e-commerce - helping brands tap into the global manufacturing ecosystem and easily launch new products. We're a team of builders, operators, and investors from Stripe, Google, Amazon, Palantir, and Anduril. We're well funded and have already built our core technology. Learn more about Cavela at *********************** What we're looking for We're looking for someone to lead and build out Cavela's business operations as our first business hire. Responsibilities User Engagement: Meticulously track and manage users' sourcing projects from initial request to final delivery, ensuring timely follow-up and high satisfaction, and constant communication throughout. Supplier Coordination: Liaise with our sourcing team in Asia to relay user needs to suppliers, interpret supplier updates, and communicate them effectively back to users. Systems Creation: Build and optimize operational systems to enhance the product sourcing experience, leveraging advanced AI and technology to automate and refine workflows. Product Collaboration: Partner with our design team to transform user feedback and UX insights into impactful product improvements, ensuring that AI and technology drive the development of sophisticated systems and features. Growth Initiatives: Identify and build out new channels for customer acquisition, contributing to company growth. Requirements Experience: 3+ years in building and scaling operations. Sourcing Expertise: Experience with supplier relations and product sourcing specifically - ideally related to the apparel/accessories product space. Product Minded: Able to understand user needs and work closely with design teams to shape a compelling product experience. Systems Thinker: Skilled in planning and building end-to-end workflows, from user requests through supplier coordination, with a strong emphasis on technological integration. Communication Skills: Excellent interpersonal abilities for cross-cultural, cross-functional collaboration across users, suppliers, design, and operations teams. Flexibility: Adaptable to irregular working hours. Important due to the global distribution of suppliers. About us We're a group of driven, passionate people from all over the world fired up about building ambitious, high impact products that matter. We're ex-Stripe/-Google/-Amazon from MIT, Dartmouth, Parsons, and McGill, with a ton of startup experience, and some extraordinary advisors behind us (Palantir, Anduril, Coinbase). We're future-obsessed. We're tackling a complex problem in a new way by leveraging cutting edge technology, and looking to transform an entire industry in the process. How to apply Please get in touch at ****************** - we're always interested in meeting exceptional talent.

Staff Product Analyst Salary: $200K-$240K base + Equity We're hiring a Staff Product Analyst for a hyper-growth, Series E AI company valued at $3B+. This is an opportunity to play a key role in shaping product strategy and growth by leveraging data to drive decisions, optimize user experiences, and unlock new opportunities. What You'll Do: Shape product strategy with data-driven insights - Define key metrics, track user behavior, and identify trends that impact engagement and retention. Deep-dive into user journeys - Uncover friction points and growth levers to enhance adoption, conversion, and retention. Optimize experimentation and A/B testing - Design and analyze tests to improve product features, pricing, and personalization strategies. Develop self-service analytics tools - Build dashboards and automated reporting to empower teams with real-time data. Partner with Product, Engineering & Leadership - Translate complex data into clear, actionable recommendations to improve product performance and business outcomes. What We're Looking For: 7+ years of experience in Product Analytics, preferably within high-growth tech companies. Expert SQL skills and experience working with large-scale product datasets. Proficiency in Python or R, with a strong foundation in statistical analysis and experimentation. Hands-on experience with A/B testing methodologies and user segmentation. Experience with ELT data modeling and BI tools like Looker, Omni, or Hashboard. Strong executive communication skills, with the ability to influence product decisions through data. Thrives in a fast-paced, high-impact environment, with a passion for uncovering insights that drive product growth.

⚡ tl;dr Help us get more promising new drugs to market, while helping patients access life changing medicine. Work directly with one of our cofounders to: solve crucial problems across the marketplace, develop our data infrastructure, and build out a broader data team. Join a rapidly growing company (we've ~10x'd in the past 3 quarters) while we're still just a tight-knit team of ~27. Own a number of high-impact data science initiatives across the marketplace: how might we systematize supply-demand balancing; which patients should clinics call first; etc. Work with a product team where everyone writes their own queries, and as a result where Data's role is to provide them leverage (via better infra, models, etc etc). 🧬 Let's accelerate medical innovation At Power, we're making clinical trials easy to navigate for all patients. Today, patients look to promising medical research when standard treatments have failed them. Unfortunately, there is no single source of truth that patients can understand and trust. The status quo is a government run website which is written in complex medical jargon that is impossible for most people to navigate. At the same time, clinical trials are the bottleneck on medical innovation-new medicine takes almost 10 years to test and over 86% of all clinical trials are delayed because they can't find enough patients. This is one of the biggest problems facing the life science industry. Power is the easiest way for patients to access promising new studies. Thus helping more patients find treatments and speeding up the progress of medical research as we go. 🏹 The role We're looking for our first data hire at Power. Up until now, we've operated without a data team by ensuring the product org is able to write their own queries. While this worked well as an early stage company, as we continue to scale we're professionalizing the data function in order to ensure we're learning as much as we can, as fast as we can. Plus, many of the most-impactful product surface areas today are ones where a deeper data science lens would help. To this end, the most important piece of this role is working closely with Power's cofounders to ensure our product teams have a complete grasp of key insights: both by directly contributing to our most-important data-problems, and by building systems that better enable other users to self-serve. From there this role could lean one of few ways: You could scale into a Head of Data role and build out a team here. You could lean further into Data Engineering and build a deep expertise here. You could shift your focus further towards product, and eventually be a key contributor within the product org. 🤔 Some of the problems we'll be working on We don't believe in strict job requirements, but if these problems sound fun and familiar, you're probably well suited for this gig: Building our ranking system that recommends which patient a clinic should call next. Elevating our current systems for balancing supply and demand across the marketplace. Conducting a ‘magic moment' analysis to determine what makes sites on our platform successful Challenging our thinking re: the best possible outputs & leading indicators for us to be monitoring across each of our product streams Codifying user segments in our analysis, such that we can quickly understand which user-groups are best served by new features. Analyzing gaps in ‘self-reported' and ‘EMR-reported' patient attributes, to better understand which questions our patients can reliably answer. Building intuitive views for our demand-side and patient-side user segments, so that our team can analyze feature-product fit across segments. 🎯 About you You've spent a considerable part of your professional life analyzing data. You're probably intimately familiar with both SQL and (Python or R). You're energized by the process of ‘finding out': you take real pleasure in uncovering novel insights & shaping your colleagues' understanding of the world. You're exceptional at communicating data: you're able to imagine intuitive reports & to distill down key findings in a way that non-technical team members can understand. You've demonstrated the ability to contribute strategically, by translating discoveries into recommendations for the broader business. You're wholly comfortable both leading your own analysis and maintaining your own tooling + data stack. This autonomy is something you're excited about, not something that's daunting. You can drive projects independently or work in a highly collaborative, x-functional manner. You naturally balance speed, craft, and business goals. 🌟Nice to haves You have a personal connection to the space: much of our team has close family or friends who've interacted with clinical research from the patient perspective. You have a deep familiarity with marketplace businesses, clinical research, or health tech more broadly. You've led data teams of a larger scale, and will be able to help us see around corners. You have some other ‘spike' or unique strength that would round us out! We're always looking for complementary skills & experiences. You like to dive into the lit in your personal life - whether it be for sleep, nutrition, supplements, or something else entirely. 🔎 The product Power is the most patient-friendly marketplace resource for clinical trials. Comprehensive: we make it easy to search across every trial in North America so patients never feel like they have blind spots Simple: we apply a healthy amount of data engineering and empathy to the reams of unstructured medical data on clinical trials to simplify things for patients that are trying to evaluate potential trials Connected: we help patients proactively reach out to the researchers directly and researchers love connecting with motivated patients ✉️ If this sounds like your kind of adventure We'd love to hear from you. Email ******************

Ohana Real Estate Investors is a vertically integrated real estate investment firm with expertise across hotel, residential, and development projects. Founded in 2009, our expert team acquires, develops and finances high-quality real estate in desirable locations with long-term growth potential for a total of $4.5B+ in investments to date. Our investment process is rooted in humility, powered by collaboration, and strengthened by our team's diverse perspectives and skillsets. Ohana's Investments team is lean and growing quickly. The team is looking to hire a candidate who will thrive in a dynamic, entrepreneurial environment and grow with the firm. Responsibilities The Analyst / Associate will provide analytical and execution support for the acquisition, recapitalization, financing / refinancing, and disposition of hotels and hospitality-related businesses. Key responsibilities will include: Create financial models and other financial analyses to evaluate investments Conduct research and due diligence of prospective opportunities including financial, market, and legal diligence Support fundraising efforts and potential / existing investor relationship management Prepare and present investment and investor materials Participate in sourcing and identifying potential acquisition opportunities Work with other internal Ohana teams and experts to develop and evaluate business plans for prospective and existing investments Meet with sellers, investors, and advisors Qualifications 1-3 years of relevant experience (title commensurate with experience) Superior analytical, quantitative, and technical skills High integrity with strong work ethic and attention to detail Undergraduate degree with 3.5 GPA or higher Proficient in Microsoft Excel, PowerPoint, and Word Excellent written and verbal communication skills Ability to travel for due diligence / meetings Corporate finance and accounting backgrounds preferred, but not mandatory Salary Range: $100,000 - $135,000 + Discretionary Bonus

Staff Product Analyst Salary: $200K-$240K base + Equity We're hiring a Staff Product Analyst for a hyper-growth, Series E AI company valued at $3B+. This is an opportunity to play a key role in shaping product strategy and growth by leveraging data to drive decisions, optimize user experiences, and unlock new opportunities. What You'll Do: Shape product strategy with data-driven insights - Define key metrics, track user behavior, and identify trends that impact engagement and retention. Deep-dive into user journeys - Uncover friction points and growth levers to enhance adoption, conversion, and retention. Optimize experimentation and A/B testing - Design and analyze tests to improve product features, pricing, and personalization strategies. Develop self-service analytics tools - Build dashboards and automated reporting to empower teams with real-time data. Partner with Product, Engineering & Leadership - Translate complex data into clear, actionable recommendations to improve product performance and business outcomes. What We're Looking For: 7+ years of experience in Product Analytics, preferably within high-growth tech companies. Expert SQL skills and experience working with large-scale product datasets. Proficiency in Python or R, with a strong foundation in statistical analysis and experimentation. Hands-on experience with A/B testing methodologies and user segmentation. Experience with ELT data modeling and BI tools like Looker, Omni, or Hashboard. Strong executive communication skills, with the ability to influence product decisions through data. Thrives in a fast-paced, high-impact environment, with a passion for uncovering insights that drive product growth.