How to find a job with Analytics skills

How is Analytics used?

Zippia reviewed thousands of resumes to understand how analytics is used in different jobs. Explore the list of common job responsibilities related to analytics below:

  • Refocused the analytic competency from pivot table producers to producing analytics that are driving the business.
  • Evangelized capabilities and vision of Advanced Analytics to very large Enterprise customers.
  • Managed a team to drive Farmers $2B independent agent channel distribution business growth of 4% via advanced analytics.
  • Managed Marketing Mix Analytics program by coordinating across functional areas (digital, stores, catalog, etc.)
  • Engineered an update to pricing model used by a mortgage GSE to incorporate appraiser comments via text analytics.
  • Launched a successful hybrid department of computer software, data analytics, quality, and education.

Are Analytics skills in demand?

Yes, analytics skills are in demand today. Currently, 119,183 job openings list analytics skills as a requirement. The job descriptions that most frequently include analytics skills are director of advancement, business intelligence-senior manager, and pricing manager.

How hard is it to learn Analytics?

Based on the average complexity level of the jobs that use analytics the most: director of advancement, business intelligence-senior manager, and pricing manager. The complexity level of these jobs is challenging.

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What jobs can you get with Analytics skills?

You can get a job as a director of advancement, business intelligence-senior manager, and pricing manager with analytics skills. After analyzing resumes and job postings, we identified these as the most common job titles for candidates with analytics skills.

Director Of Advancement

Job description:

The director of advancement plays an important role in the management of a development program that has the potential to advance a company's goals and mission. The typical duties for this role include leading employee communication functions, establishing asset level budget across the portfolio, and working closely with other departments, including compliance, investor relations, and tax/accounting. Additionally, you will be responsible for implementing an online solution for event management and email communication. As the director of the advancement, you should be understanding of employee needs and operational goals.

  • Analytics
  • Professional Development
  • Project Management
  • Alumni Relations
  • Strategic Plan
  • Donor Relations

Business Intelligence-Senior Manager

Job description:

A business intelligence senior manager oversees the business intelligence procedures and process development operations of a company. They have the authority to set goals, streamline project roadmaps, develop implementation strategies for various programs, and make management decisions. They also conduct extensive research and analyses to identify the company's needs, evaluate the strengths and weaknesses of existing operations, and implement solutions against vulnerable areas. Moreover, as a business intelligence senior manager, they lead and coordinate junior managers while adhering to the company's standards and regulations.

  • Analytics
  • Tableau
  • Visualization
  • Project Management
  • Data Analysis
  • Data Management

Pricing Manager

Job description:

Pricing managers are employees who oversee the pricing needs of the organization. They identify the best pricing schemes for the company's product or service offerings. To do this, pricing managers analyze industry trends and current events. They study the target market and their spending behavior. They also coordinate with different departments, such as the production department to get the cost of production and the human resources department to get overhead costs. They also factor in different operational costs. Once they get this data, they determine the best pricing for the goods. Pricing managers also have a say in company tie-ups and client proposals to ensure that the company will not get the losing end of the stick with such partnerships.

  • Analytics
  • Pricing Strategy
  • Strategic Pricing
  • Customer Service
  • Strong Analytical
  • SQL

Lead Data Architect

Job description:

Lead Data Architects are experienced employees who manage the data architecture needs of the company. They also manage the data architects who fulfill these needs. They are in charge of creating data management systems based on the requirement of the company. They work hand in hand with data engineers and information technology professionals to create these systems. Lead Data Architects design data systems based on the internal and external data sources of the company. They would then create a blueprint to centralize these systems to streamline the different processes of the company.

  • Analytics
  • Data Management
  • Java
  • Data Governance
  • Data Quality
  • Emerging Technologies

Senior Business Manager

Job description:

A senior business manager oversees the daily operations in a company, ensuring efficiency and smooth workflow. Typically, their responsibilities revolve around directing and assessing workforce performance, setting company objectives and goals, and coordinating with different departments to be aware of any issues or concerns. It is also essential to devise strategies to find new sales opportunities, perform research and analysis to identify client needs, and promptly resolve any problems that may arise. Furthermore, as a senior business manager, it is essential to lead and encourage the workforce, all while implementing the company's policies and regulations.

  • Analytics
  • Project Management
  • Portfolio
  • SR
  • Risk Management
  • Business Strategies

Associate Partner

Job description:

The job of an associate partner is similar to that of a partner. An associate partner will report to the partner and work to build strong client relationships and understand their concerns. You will typically perform various duties that include handling the partner's daily activities, monitoring the accounting procedures, and maintaining the confidentiality of the client's information. As an associate partner, you also have to advise on corporate governance and business reorganization and conducting assessments of in-house platforms that include evaluating portfolio accounting systems and client delivery.

  • Digital Transformation
  • Analytics
  • Cloud
  • Portfolio
  • Account Management
  • Client Relationships

Data Consultant

Job description:

A data consultant is primarily responsible for devising strategies on finding data and utilizing them according to the needs of a company. Most of the time, they are in charge of gathering data through various means and opportunities, maintaining and designing a database, coordinating with multiple data specialists, inspecting data for any inconsistencies, and performing corrective measures. Furthermore, a data consultant may develop systems and networks for data storage, all while adhering to the policies and standards of the company.

  • Analytics
  • Data Quality
  • Data Management
  • Data Governance
  • Informatica
  • Master Data

Senior Analyst

Job description:

A senior analyst's responsibilities will vary in every organization or industry. However, their primary role is to gain an understanding of a company's strengths and weaknesses. Through this, they can devise strategies and determine new opportunities that would be significant in attaining financial gains and a more substantial client base. Furthermore, it is a senior analyst's responsibility to coordinate with various departments, and even clients, to establish a rapport that will be essential in gaining the needed information to catapult a company to its finest.

  • Analytics
  • Data Analysis
  • Tableau
  • Project Management
  • Strong Analytical
  • Power Bi

Manager Data Services

Job description:

A manager of data services is in charge of overseeing and spearheading the data management operations of a company. They are responsible for supervising a team of analysts and developers, setting objectives and guidelines, establishing timelines and protocols, designing and developing databases, reviewing and assessing systems, implementing maintenance checks, and producing application reports regularly. Moreover, as a manager, it is essential to lead and encourage staff to reach goals, all while implementing the company's data security standards and policies.

  • Analytics
  • Project Management
  • Cloud
  • Data Management
  • Data Services
  • Azure

Director Of Intelligence

Job description:

A director of intelligence is responsible for handling the allocation of budget and resources to support intelligence activities and gather accurate data to identify security threats and issues. Directors of intelligence analyze reports, review information, and conduct data analysis from investigations and information patterns. They also manage and strategize techniques to locate and extend security information and maintain the confidentiality of data. A director of intelligence must have excellent communication and critical-thinking skills to monitor activities and resolve issues that might risk the community.

  • Analytics
  • Business Intelligence
  • Project Management
  • Tableau
  • Visualization
  • Competitive Intelligence

Business Intelligence Specialist

Job description:

A Business Intelligence Specialist is responsible for evaluating strategic techniques and operational processes that would support business functions and achieve goals efficiently. They assess technical applications and develop solutions for complex procedures to minimize downtimes and potential risks. They coordinate with system analysts to generate data and codes and design applications and servers to implement business decisions. A specialist must have excellent critical-thinking and technical skills to manage accounts and ensure clients' timely deliverables.

  • Power Bi
  • Analytics
  • Tableau
  • Visualization
  • Data Analysis
  • ETL

Lead Data Analyst

Job description:

A Lead Data Analyst is responsible for managing data systems and ensuring information accuracy to support business operations and requirements. Lead Data Analysts work with system engineers to maintain all the database's safety and security to prevent unauthorized access and potential leak of confidential data. They also conduct data and statistical analysis to design efficient operating systems with maximum optimization. A Lead Data Analyst must have excellent technical and organizational skills, especially in pulling up reports and documents and utilizing computer tools to minimize downtimes and data delays.

  • Analytics
  • Python
  • Power Bi
  • Data Analysis
  • Visualization
  • SAS

Business Analysis Manager

Job description:

A business analyst manager specializes in performing research and analysis to devise strategies for optimal business operations and services, ensuring efficiency and increased productivity. Their responsibilities typically revolve around coordinating different departments to develop functional services, setting goals and budgets, managing schedules, and establishing new projects to improve the organization's workflow and workforce performance. Furthermore, as a manager, it is essential to lead and encourage the team to reach goals, all while implementing the company's policies and regulations.

  • Business Analysis
  • Analytics
  • Project Management
  • SQL
  • Data Analysis
  • Business Process

Data Management Manager

Job description:

A data management manager is responsible for maintaining the safety and security of all the organization's database networks and systems to prevent unauthorized access and activities that may pose risks to the business' reputation and performance. Data management managers conduct regular quality checks and updates for the networks, ensuring its efficiency and stability to support business functions and operations. A data management manager must have excellent technical and organizational skills, especially in resolving network issues and recommending data storage systems improvement.

  • Data Management
  • Analytics
  • Data Quality
  • Data Governance
  • Project Management
  • MDM

Vice President, Strategy

Job description:

A vice president of strategy is responsible for delegating and reviewing market target research and assessing the areas that a company should focus on for further development. The position requires strong management and leadership skills to supervise a team of customer research specialists. Other essential skills that a vice president of strategy should possess to accomplish his/her or her responsibilities include knowledge of computer analytic software and data visualization and excellent communication skills. A four-year college degree is the minimum education requirement for the position.

  • Analytics
  • Project Management
  • Healthcare
  • Portfolio
  • Business Development
  • Direct Reports

Business Intelligence Architect

Job description:

A business intelligence architect is in charge of establishing data structures and business intelligence for an organization. Their responsibilities typically include designing systems and tools according to the company's needs, studying the feedback of clients, processing and analyzing extensive data, identifying areas needing improvement, and implementing solutions against problem areas. They must also provide technical support to various departments and employees, enforcing corrective measures as required. Furthermore, as a business intelligence architect, it is essential to lead teams to reach goals, all while implementing the company's data security policies and regulations.

  • Analytics
  • Power Bi
  • Dashboards
  • Visualization
  • ETL
  • Java

Data Warehouse Architect

Job description:

Data warehouse architects are in charge of planning data warehouse solutions and function with the standard data warehouse technologies to develop plans that best sustain an organization or business. Typically, data warehouse architects usually take employer goals as well as client demands and work to create a particular architecture that will be sustained to serve certain stated objectives. Their duties include planning and implementing effective database solutions and models, assessing and identifying database structural necessities, and evaluating database execution procedures to make sure they follow internal and external guidelines.

  • Analytics
  • Data Warehouse
  • Business Intelligence
  • Power Bi
  • Data Warehousing
  • Data Quality

Business Intelligence Lead

Job description:

Business intelligence generally leads to operating data modeling design and survey in the entire organization. Their responsibilities include reviewing and verifying customer data, directing the dissemination of data to the data warehouse, and establishing policies and protocols for the collection and examination of data. Also, they create or locate new data procurement and operating programs as well as collaborate with the IT department to install software and hardware enhancements. Additionally, they observe analytics and metrics results, execute new data analysis programs, examine customer files to make sure cohesion of data collection and usage as well as present data profiling to determine and recognize anomalies.

  • Power Bi
  • Analytics
  • Project Management
  • Dashboards
  • Visualization
  • Client Facing

Mba Internship

Job description:

In an MBA internship, an intern's tasks will depend on their industry of employment or directives from supervising officials. Typically, an intern's responsibilities revolve around performing clerical duties such as producing progress reports and presentations, gathering accurate data, processing documentation, and arranging schedules. They may also create business plans, share insights and ideas, liaise with clients or external agencies, and work closely with different company departments. Furthermore, it is essential to learn and adhere to the company's policies and regulations, including its vision and mission.

  • Analytics
  • Internship Program
  • Project Management
  • Healthcare
  • Develop Recommendations
  • Competitive Analysis

Business Intelligence Analyst

Job description:

The primary job of business intelligence (BI) analysts is to analyze data and identify areas of improvement for an organization. These professionals are responsible for identifying trends that may help managers, executives, and other departments make better decisions to improve company processes and modernization. Other duties include identifying areas of revenue loss and ways to maximize profit, analyzing competitors' use of BI, and implementing new methodologies and data analysis. This role is particularly analytical and needs a balance of communication, information technology, and problem-solving skills.

  • Business Intelligence
  • Analytics
  • Power Bi
  • Dashboards
  • Visualization
  • Data Analysis

How much can you earn with Analytics skills?

You can earn up to $117,155 a year with analytics skills if you become a director of advancement, the highest-paying job that requires analytics skills. Business intelligence-senior managers can earn the second-highest salary among jobs that use Python, $135,484 a year.

Job Title
ascdesc
Average Salary
ascdesc
Hourly Rate
ascdesc
Director Of Advancement$117,155$56
Business Intelligence-Senior Manager$135,484$65
Pricing Manager$109,525$53
Lead Data Architect$112,015$54
Senior Business Manager$134,737$65

Companies using Analytics in 2025

The top companies that look for employees with analytics skills are Deloitte, U.S. Department of the Treasury, and Oracle. In the millions of job postings we reviewed, these companies mention analytics skills most frequently.

Rank
ascdesc
Company
ascdesc
% Of All Skills
ascdesc
Job Openings
ascdesc
1Deloitte14%24,051
2U.S. Department of the Treasury10%0
3Oracle9%36,261
4Intel8%1,291
5Pwc8%19,642

Departments using Analytics

The departments that use analytics the most are business development, engineering, and marketing.

Department
ascdesc
Average Salary
ascdesc
Business Development$110,264
Engineering$91,500
Marketing$89,035
IT$86,921
Finance$77,981

20 courses for Analytics skills

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1. Data Analytics (Part Time)

general_assembly

Online

20 hours; 10 weeks, Part-time

Harness Excel, SQL, and Tableau to drive powerful analysis and insights. Build confidence and credibility to apply this versatile skill set to countless jobs. This course is offered in person and live online, in a remote classroom setting...

2. Intro to Data Analytics

general_assembly

Online

2 hours; 1 week, 2 hours live

Discover if data is a career fit for you Regardless of your industry or role, fluency in the language of data analytics will allow you to contribute to data driven decision making. In this free, two-hour livestream, you’ll learn to understand, analyze, and interpret data so you too can join the data conversation. We’ll cover how to ask the right questions of your data and basic analytic functionality. Then you’ll apply your new found data analytic skills to a real-world dataset, allowing you to develop recommendations based on your findings. All in real time, taught by an industry professional...

3. Marketing Analytics

udacity

Gain an in-depth understanding of Google Analytics and marketing analytics. Analyze data and build models with Excel, Data Studio, and create informative data visualizations with Tableau...

4. Business Analytics

udacity

In this program, you will learn foundational data skills that apply across functions and industries. You will learn to analyze data and build models with Excel, query databases using SQL, and create informative data visualizations with Tableau...

5. Business Intelligence Analytics

udacity

Build confidence combining different data types and sources to create sophisticated data models for enterprises across all industries...

6. Predictive Analytics for Business

udacity

Learn to apply predictive analytics and business intelligence to solve real-world business problems...

7. Introduction to Data Analytics for Business

udacity

Learn to apply data & statistics specifically for business! In this course, you’ll go from data novice to spreadsheet wizard, calculating and forecasting key financial metrics, even making detailed projections off real-life financial data from the New York Stock Exchange...

8. Business Analytics

coursera

Our world has become increasingly digital, and business leaders need to make sense of the enormous amount of available data today. In order to make key strategic business decisions and leverage data as a competitive advantage, it is critical to understand how to draw key insights from this data. The Business Analytics specialization is targeted towards aspiring managers, senior managers, and business executives who wish to have a well-rounded knowledge of business analytics that integrates the areas of data science, analytics and business decision making.\n\nThe courses in this Specialization will focus on strategy, methods, tools, and applications that are widely used in business. Topics covered include:\n\nData strategy at firms Reliable ways to collect, analyze, and visualize data–and utilize data in organizational decision making Understanding data modeling and predictive analytics at a high-level Learning basic methods of business analytics by working with data sets and tools such as Power BI, Alteryx, and RStudio Learning to make informed business decisions via analytics across key functional areas in business such as finance, marketing, retail & supply chain management, and social media to enhance profitability and competitiveness...

9. Business Analytics

coursera

This Specialization provides an introduction to big data analytics for all business professionals, including those with no prior analytics experience. You’ll learn how data analysts describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations, and you’ll develop basic data literacy and an analytic mindset that will help you make strategic decisions based on data. In the final Capstone Project, you’ll apply your skills to interpret a real-world data set and make appropriate business strategy recommendations...

10. Accounting Analytics

coursera

Accounting Analytics explores how financial statement data and non-financial metrics can be linked to financial performance. In this course, taught by Wharton’s acclaimed accounting professors, you’ll learn how data is used to assess what drives financial performance and to forecast future financial scenarios. While many accounting and financial organizations deliver data, accounting analytics deploys that data to deliver insight, and this course will explore the many areas in which accounting data provides insight into other business areas including consumer behavior predictions, corporate strategy, risk management, optimization, and more. By the end of this course, you’ll understand how financial data and non-financial data interact to forecast events, optimize operations, and determine strategy. This course has been designed to help you make better business decisions about the emerging roles of accounting analytics, so that you can apply what you’ve learned to make your own business decisions and create strategy using financial data...