What is a data miner and how to become one

Updated January 8, 2025
2 min read
There is more than meets the eye when it comes to being a data miner. For example, did you know that they make an average of $38.48 an hour? That's $80,042 a year! Between 2018 and 2028, the career is expected to grow 19% and produce 150,300 job opportunities across the U.S.
ScoreData MinerUS Average
Salary
6.3

Avg. Salary $80,042

Avg. Salary $59,228

Stability Level
5.0

Growth Rate 19%

Growth Rate 0.3%

Diversity
4.1
Race

American Indian and Alaska Native 0.51%

Asian 11.99%

Black or African American 6.24%

Hispanic or Latino 8.82%

Unknown 4.70%

White 67.73%

Gender

female 39.86%

male 60.14%

Age - 43
Race

American Indian and Alaska Native 3.00%

Asian 7.00%

Black or African American 14.00%

Hispanic or Latino 19.00%

White 57.00%

Gender

female 47.00%

male 53.00%

Age - 43
Stress Level
5.0

Stress level is manageable

7.1 - high

Complexity Level
8.2

Complexity Level is challenging

7 - challenging

Work Life Balance
4.3

Work Life balance is poor

6.4 - fair

Key steps to become a data miner

  1. Explore data miner education requirements

    Most common data miner degrees

    Bachelor's

    65.3 %

    Master's

    13.7 %

    Associate

    12.6 %
  2. Start to develop specific data miner skills

    Skills
    ascdesc
    Percentages
    ascdesc
    Python30.54%
    R14.77%
    ETL8.44%
    Data Quality7.45%
    HTML7.37%
  3. Complete relevant data miner training and internships

    Accountants spend an average of 6-12 months on post-employment, on-the-job training. New data miners learn the skills and techniques required for their job and employer during this time. The chart below shows how long it takes to gain competency as a data miner based on U.S. Bureau of Labor Statistics data and data from real data miner resumes.
  4. Research data miner duties and responsibilities

    • Provide clinical staff with customize population health analytic solutions for tracking specific clinical quality measure and managing high risk patients.
    • Develop Matlab code for exploring the dichotomy in differential performance of Satscan using exact locations and census tracts.
    • Train a logistic regression classifier to differentiate the positive and negative articles.
    • Develop single and multiple regression models to identify relationships between stock volatility and financial ratios
  5. Prepare your data miner resume

    When your background is strong enough, you can start writing your data miner resume.

    You can use Zippia's AI resume builder to make the resume writing process easier while also making sure that you include key information that hiring managers expect to see on a data miner resume. You'll find resume tips and examples of skills, responsibilities, and summaries, all provided by Zippi, your career sidekick.

    Choose From 10+ Customizable Data Miner Resume templates

    Build a professional Data Miner resume in minutes. Browse through our resume examples to identify the best way to word your resume. Then choose from 10+ resume templates to create your Data Miner resume.
    Data Miner Resume
    Data Miner Resume
    Data Miner Resume
    Data Miner Resume
    Data Miner Resume
    Data Miner Resume
    Data Miner Resume
    Data Miner Resume
    Data Miner Resume
  6. Apply for data miner jobs

    Now it's time to start searching for a data miner job. Consider the tips below for a successful job search:

    1. Browse job boards for relevant postings
    2. Consult your professional network
    3. Reach out to companies you're interested in working for directly
    4. Watch out for job scams

How Did You Land Your First Data Miner Job

Zippi

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Average data miner salary

The average Data Miner salary in the United States is $80,042 per year or $38 per hour. Data miner salaries range between $54,000 and $118,000 per year.

Average Data Miner Salary
$80,042 Yearly
$38.48 hourly

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Updated January 8, 2025

Zippia Research Team
Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

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