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What does a data miner do?

Updated January 8, 2025
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Data miner responsibilities

Here are examples of responsibilities from real data miner resumes:

  • 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
  • Develop a hierarchical text classification model in python to classify websites into multilevel/ multiple taxonomy.
  • Develop discriminative features to boost the classification accuracy, using the domain specific language written in Java.
  • Provide clinical staff with customize population health analytic solutions for tracking specific clinical quality measure and managing high risk patients.
  • Aggregate real-time insights from operational data for SalesForce case investigation and solutions to support internal and external customers.

Data miner skills and personality traits

We calculated that 31% of Data Miners are proficient in Python, R, and ETL. They’re also known for soft skills such as Detail oriented, Analytical skills, and Communication skills.

We break down the percentage of Data Miners that have these skills listed on their resume here:

  • Python, 31%

    Sequence data analysis using Python to identify and characterize allele specific expression in poultry infected with avian influenza from RNA-seq data.

  • R, 15%

    Analyzed internal WebBoard trends using R statistical software; identified significant trends, social network characteristics, and structure recommendations.

  • ETL, 8%

    Coordinated efforts between SIU team members and IT business analysts, architects and ETL developers.

  • Data Quality, 7%

    Partner with cross functional teams and business stakeholders to identify issues and implement business process improvement to enhance overall data quality.

  • HTML, 7%

    Co-founded a project website (https://s3.amazonaws.com/latrafficprojectusc/index.html) and co-authored final report.

  • SAS, 7%

    Employed the entire SEMMA process in SAS Enterprise Miner.

Most data miners use their skills in "python," "r," and "etl" to do their jobs. You can find more detail on essential data miner responsibilities here:

Detail oriented. The most essential soft skill for a data miner to carry out their responsibilities is detail oriented. This skill is important for the role because "market research analysts must pay attention to minutiae to evaluate data." Additionally, a data miner resume shows how their duties depend on detail oriented: "performed detailed data analysis for us transportation command (ustranscom) programs. "

Analytical skills. Many data miner duties rely on analytical skills. "market research analysts must evaluate large amounts of data and information related to market conditions.," so a data miner will need this skill often in their role. This resume example is just one of many ways data miner responsibilities rely on analytical skills: "design spatial prediction modeling formulas describing human behaviors for big data clients. "

Communication skills. data miners are also known for communication skills, which are critical to their duties. You can see how this skill relates to data miner responsibilities, because "market research analysts must be able to clearly convey information when gathering material, interpreting data, and presenting results to clients." A data miner resume example shows how communication skills is used in the workplace: "used digital systems and telecommunication devices in conjunction with scada and data processing to improve systems software applications and diagnostic testing. "

All data miner skills

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Compare different data miners

Data miner vs. Office specialist

An office specialist is responsible for performing administrative and clerical duties to support the organization's daily operations. Office specialists must be highly organizational, as well as having excellent time-management skills to handle work units. They have duties including data entry procedures, greeting visitors, responding to customers' inquiries through phone calls and e-mails, and filing and sorting documents. Office specialists are responsible for creating meeting reports, scheduling appointments, evaluating financial statements, coordinating with other staff for event planning, and assisting the senior management with complex functions.

The annual salary of office specialists is $46,565 lower than the average salary of data miners.

While similarities exist, there are also some differences between data miners and office specialist. For instance, data miner responsibilities require skills such as "python," "r," "company database," and "etl." Whereas a office specialist is skilled in "customer service," "data entry," "patients," and "office equipment." This is part of what separates the two careers.

Office specialists tend to make the most money working in the finance industry, where they earn an average salary of $37,752. In contrast, data miners make the biggest average salary, $83,600, in the real estate industry.The education levels that office specialists earn slightly differ from data miners. In particular, office specialists are 8.9% less likely to graduate with a Master's Degree than a data miner. Additionally, they're 1.7% less likely to earn a Doctoral Degree.

Data miner vs. Student office assistant

Student office assistants are responsible for answering and directing phone calls, taking messages, and communicating with customers and other staff members. Other duties and responsibilities of a student office assistant include making and arranging appointments, monitoring and restocking office supplies, and helping with some administrative tasks. They are also responsible for computing, recording, and proofreading data such as timesheets, reports, and records. This role's qualifications may vary from one organization to another, however, the basics include excellent communication skills and proficiency in MS Word, PowerPoint, and Excel.

On average, student office assistants earn a $55,376 lower salary than data miners a year.

While some skills are similar in these professions, other skills aren't so similar. For example, resumes show us that data miner responsibilities requires skills like "python," "r," "company database," and "etl." But a student office assistant might use other skills in their typical duties, such as, "data entry," "phone calls," "customer service," and "front desk."

Student office assistants may earn a lower salary than data miners, but student office assistants earn the most pay in the government industry with an average salary of $27,843. On the other hand, data miners receive higher pay in the real estate industry, where they earn an average salary of $83,600.student office assistants earn lower levels of education than data miners in general. They're 8.0% less likely to graduate with a Master's Degree and 1.7% less likely to earn a Doctoral Degree.

Data miner vs. Front office coordinator

A front office coordinator is responsible for assisting clients with their inquiries and concerns and directing them to the appropriate department and personnel to immediately address their needs. Front office coordinators schedule appointments, verify visitors' identities by checking their credentials for security purposes, processing service payments, updating customers' data and visitation log on the database, and escalating high-level complaints. A front office coordinator also performs administrative and clerical tasks as needed, requiring them to have excellent time-management and organizational skills.

On average scale, front office coordinators bring in lower salaries than data miners. In fact, they earn a $47,198 lower salary per year.

There are many key differences between these two careers, including some of the skills required to perform responsibilities within each role. For example, a data miner is likely to be skilled in "python," "r," "company database," and "etl," while a typical front office coordinator is skilled in "patients," "customer service," "data entry," and "front desk."

Front office coordinators earn the best pay in the health care industry, where they command an average salary of $32,333. Data miners earn the highest pay from the real estate industry, with an average salary of $83,600.front office coordinators typically earn lower educational levels compared to data miners. Specifically, they're 10.6% less likely to graduate with a Master's Degree, and 2.0% less likely to earn a Doctoral Degree.

Data miner vs. Clerk typist

A clerk typist is responsible for data entry procedures and document transcriptions, alongside other clerical and administrative duties as required by the employer. Clerk typists create reports and presentation materials, transcribe audio meetings, write business drafts, and send documents to appropriate office personnel or clients. A clerk-typist must show excellent organizational and time-management skills, especially with handling various typing tasks under strict deadlines and minimal supervision. They also respond and take calls from clients and customers, assisting with their inquiries and concerns.

Clerks typist average a lower salary than the annual salary of data miners. The difference is about $48,296 per year.While some skills are required in each professionacirc;euro;trade;s responsibilities, there are some differences to note. "python," "r," "company database," and "etl" are skills that commonly show up on data miner resumes. On the other hand, clerks typist use skills like data entry, customer service, telephone calls, and payroll on their resumes.In general, clerks typist earn the most working in the education industry, with an average salary of $32,312. The highest-paying industry for a data miner is the real estate industry.The average resume of clerks typist showed that they earn lower levels of education compared to data miners. So much so that theyacirc;euro;trade;re 10.7% less likely to earn a Master's Degree and less likely to earn a Doctoral Degree by 2.0%.

Types of data miner

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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