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Manager Data Mining Jobs (NOW HIRING)

... Data mining and analysis for ad hoc projects will include: exploratory data analysis, and data visualization Develop insightful dashboards that management can use to produce informed business ...

... Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms. Additionally, the candidate should have prior ...

... Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms. Additionally, the candidate should have prior ...

Managing databases, troubleshooting data-related issues, and optimizing database performance. * Data Modeling: Building data models to represent and analyze data effectively. * Data Mining: Mining ...

Senior Data Analyst

Norfolk, VA · On-site

$83.20K - $105K/yr

Interprets data to identify business trends, conduct root cause analysis of business problems, or ... Oversight of Policy and Procedure documentation along with change management and testing ...

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Manager Data Mining information

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$31K

$97.1K

$172K

How much do manager data mining jobs pay per year?

As of May 28, 2026, the average yearly pay for manager data mining in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Mining vs Data Analyst?

AspectManager Data MiningData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related field; experience in data mining and team managementBachelor's degree in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentLeads data mining teams, collaborates with multiple departments, oversees projectsAnalyzes data sets, prepares reports, supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare industries for strategic insightsCommon across various industries for operational analysis

The main difference is that a Manager Data Mining oversees data mining projects and teams, focusing on strategic implementation, while a Data Analyst primarily conducts data analysis and reporting. Managers handle higher-level planning and coordination, whereas Data Analysts focus on data interpretation and insights.

More about Manager Data Mining jobs
What cities are hiring for Manager Data Mining jobs? Cities with the most Manager Data Mining job openings:
What are the most commonly searched types of Data Mining jobs? The most popular types of Data Mining jobs are:
What states have the most Manager Data Mining jobs? States with the most job openings for Manager Data Mining jobs include:
Infographic showing various Manager Data Mining job openings in the United States as of May 2026, with employment types broken down into 11% Full Time, and 89% Part Time. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.
2104 Data Engineer III

2104 Data Engineer III

Strategic Data Systems

Cincinnati, OH • On-site

$118K - $120K/yr

Full-time

Posted 22 days ago


Job description

Job Title: Data Engineer/Architect III
Location: Cincinnati, OH (Downtown)
Years of Experience: 6-12
TOP SKILLS:
Must Have
  • DBT
  • Snowflake
  • SQL
Nice To Have
  • Financial experience
  • Power BI
  • Reg Reporting experience

Merger & Acquisitions project
What You'll Do
Job Summary:
Handle the design and construction of scalable management systems, ensure that all data systems meet company requirements, and also research new uses for data acquisition. Required to know and understand the ins and outs of the industry such as data mining practices, algorithms, and how data can be used.
Primary Responsibilities:
- Design, construct, install, test and maintain data management systems.
- Build high-performance algorithms, predictive models, and prototypes.
- Ensure that all systems meet the business/company requirements as well as industry practices.
- Integrate up-and-coming data management and software engineering technologies into existing data structures.
- Develop set processes for data mining, data modeling, and data production.
- Create custom software components and analytics applications.
- Research new uses for existing data.
- Employ an array of technological languages and tools to connect systems together.
- Collaborate with members of your team (eg, data architects, the IT team, data scientists) on the project's goals.
- Install/update disaster recovery procedures.
- Recommend different ways to constantly improve data reliability and quality.
Qualifications:
- Technical Degree or related work experience
- Experience with non-relational & relational databases (SQL, MySQL, NoSQL, Hadoop, MongoDB, etc.)
- Experience programming and/or architecting a back end language (Java, J2EE, etc)