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Data miner skills for your resume and career

Updated January 8, 2025

2 min read

Below we've compiled a list of the most critical data miner skills. We ranked the top skills for data miners based on the percentage of resumes they appeared on. For example, 30.5% of data miner resumes contained python as a skill. Continue reading to find out what skills a data miner needs to be successful in the workplace.

12 data miner skills for your resume and career

1. Python

Python is a widely-known programming language. It is an object-oriented and all-purpose, coding language that can be used for software development as well as web development.

Here's how data miners use python:

Sequence data analysis using Python to identify and characterize allele specific expression in poultry infected with avian influenza from RNA-seq data.
Created multiple scripts in Python to perform data manipulation and analysis as well as calculations on energy production and data visualization.

2. R

R is a free software environment and a language used by programmers for statistical computing. The R programming language is famously used for data analysis by data scientists.

Here's how data miners use r:

Analyzed internal WebBoard trends using R statistical software; identified significant trends, social network characteristics, and structure recommendations.
Used R statistical software for effective analysis by hypothesis testing to validate data and interpretations.

3. ETL

Here's how data miners use etl:

Coordinated efforts between SIU team members and IT business analysts, architects and ETL developers.
Analyzed different options for heterogeneous database connectivity and defined policies for dealing with different source databases with ETL team.

4. Data Quality

Here's how data miners use data quality:

Partner with cross functional teams and business stakeholders to identify issues and implement business process improvement to enhance overall data quality.
Conducted data quality investigations and made necessary improvements, in response to operational assessments, self-driven investigations, and customer inquiries.

5. HTML

Here's how data miners use html:

Co-founded a project website (https://s3.amazonaws.com/latrafficprojectusc/index.html) and co-authored final report.
Take web requests for the department website and modify HTML code to update website.

6. SAS

SAS stands for Statistical Analysis System which is a Statistical Software designed by SAS institute. This software enables users to perform advanced analytics and queries related to data analytics and predictive analysis. It can retrieve data from different sources and perform statistical analysis on it.

Here's how data miners use sas:

Employed the entire SEMMA process in SAS Enterprise Miner.
Collaborated with statistics department to develop algorithms with SAS, and participated team meeting to analyze clinical trial protocol.

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7. SQL Server

Here's how data miners use sql server:

Re-engineered entire reporting suite to streamline, utilize MS SQL Server and allow for web-based query and publishing.
Developed and maintained applications using extensive knowledge of Microsoft SQL Server and Visual Basic for automation of data import/export processes.

8. GIS

A geographic information system (GIS) is a tool for capturing, storing, manipulating, analyzing, managing and presenting various forms of geographic data.

Here's how data miners use gis:

Visualized and displayed the statistical information of production in management reports using GIS software.
Designed and developed new enterprise GIS solutions and enhancements to existing software applications.

9. Data Analysis

Here's how data miners use data analysis:

Provided technical writing and data analysis for National Guard Distributive Training Technology Project (DTTP).
Maintained superior technical skills to support the Mantas product line and data analysis needs.

10. Linux

Linux is a Unix-like operating system. Just like Windows, Mac OS, and IOS, Linux is an operating system used by millions across the globe. Android itself is powered by the Linux operating system. Linux manages all the hardware resources that are associated with your computer. The software is famous because of the protection it grants from viruses, malware, and crashes. The Linux operating system is entirely free and is an open-source software meaning it can be altered by those equipped with the knowledge to code.

Here's how data miners use linux:

Developed LINUX based C program for testing research applications in health and medical physics.
Examined after body drag computer code in Linux Experience Abroad

11. Analyze Data

Analyze data or data analysis refers to the practice of studying, organizing, and transforming data to make it more useful. It also includes the cleansing of non-useful information which helps in better decision making regarding any particular matter. Analyze data is a practice that is used widely in the field of business, social sciences, and science.

Here's how data miners use analyze data:

Use formulas and macros to analyze data.
Collect and analyze data to identify financial representatives based on incomplete/inaccurate information

12. CMS

A Content Management System or CMS is computer software that works as a framework where content can be assembled and managed by using a database. CMS is an important asset in web development. This platform enables users to create, edit, collaborate on, publish and store digital content. It helps users to manage their content and modify it from a single system.

Here's how data miners use cms:

Redeveloped entire reporting suite when client changed CMS from SupportMagic to Remedy ARS.
Support CMS Program Integrity Modeling & Analytic Support Contract (PIMASC).

What skills help Data Miners find jobs?

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List of data miner skills to add to your resume

The most important skills for a data miner resume and required skills for a data miner to have include:

Python
R
ETL
Data Quality

HTML
SAS
SQL Server
GIS

Data Analysis
Linux
Analyze Data
CMS

Updated January 8, 2025

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.

Updated January 8, 2025

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