1

Data Analyst Computer Science Jobs in Cincinnati, OH

Senior Data Analyst

Mason, OH · On-site

$80K - $102K/yr

Bachelor's degree in Data Analytics, Computer Science, Information Systems or Business; prior work experience in Business Intelligence preferred. * Typically requires a minimum of 5 years of related ...

Actuarial Data Analyst

Cincinnati, OH · Hybrid

$70K - $75K/yr

Management Information Systems, Mathematics, Statistics, Computer Science, Actuarial Science and the like. * 1-3 years of experience in a professional environment working with data, analytics.

Identify potential applications fro data science techniques * Assist management in setting ... Analyze data using data science and/or statistical methods * Collaborate with subject matter ...

Identify potential applications fro data science techniques * Assist management in setting ... Analyze data using data science and/or statistical methods * Collaborate with subject matter ...

Bachelor's degree in Computer Science, Statistics, Mathematics, or related field. * Basic understanding of SQL and data visualization tools (Excel, Power BI, Tableau, etc.). * Analytical mindset and ...

... Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.) or ... Data Handling & Cloud: Experience with large datasets and developing in cloud computing platforms ...

... Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.) or ... Data Handling & Cloud: Experience with large datasets and developing in cloud computing platforms ...

... Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.) or ... Data Handling & Cloud: Experience with large datasets and developing in cloud computing platforms ...

... Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.) or ... Data Handling & Cloud: Experience with large datasets and developing in cloud computing platforms ...

... Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.) or ... Data Handling & Cloud: Experience with large datasets and developing in cloud computing platforms ...

... Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.) or ... Data Handling & Cloud: Experience with large datasets and developing in cloud computing platforms ...

... Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.) or ... Data Handling & Cloud: Experience with large datasets and developing in cloud computing platforms ...

... Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.) or ... Data Handling & Cloud: Experience with large datasets and developing in cloud computing platforms ...

... Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.) or ... Data Handling & Cloud: Experience with large datasets and developing in cloud computing platforms ...

... Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.) or ... Data Handling & Cloud: Experience with large datasets and developing in cloud computing platforms ...

... Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.) or ... Data Handling & Cloud: Experience with large datasets and developing in cloud computing platforms ...

next page

Showing results 1-20

Data Analyst Computer Science information

See Cincinnati, OH salary details

$32.6K

$79.3K

$130.5K

How much do data analyst computer science jobs pay per year?

As of Jun 15, 2026, the average yearly pay for data analyst computer science in Cincinnati, OH is $79,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $93,100.00 per year, depending on experience, location, and employer.

Is AI replacing data analysts?

AI tools are automating certain data processing tasks, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like data visualization, statistical analysis, and domain knowledge that AI cannot fully replicate, so AI is more of a complement than a replacement in this field.

Can computer science work as a data analyst?

A computer science background can be highly relevant for a data analyst role, as it provides skills in programming, data management, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and a strong foundation in programming languages such as Python or R is beneficial. Certifications in data analysis or related fields can also enhance job prospects.

Can ISFJ be a data analyst?

Yes, individuals with the ISFJ personality type can be data analysts, as success in this role depends on skills such as attention to detail, analytical thinking, and proficiency with tools like Excel, SQL, or Python. While personality type can influence work style, technical skills and experience are more critical for performing effectively as a data analyst.

Is 40 too late for data science?

Data analysts and data scientists can successfully transition into the field at age 40 or older, as skills in programming, statistics, and data visualization are valuable regardless of age. Many professionals acquire relevant certifications or learn tools like Python, R, or SQL later in their careers to enhance their prospects.

What are the key skills and qualifications needed to thrive as a Data Analyst in Computer Science, and why are they important?

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

What is a Data Analyst in Computer Science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

How does a Data Analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.
What are popular job titles related to Data Analyst Computer Science jobs in Cincinnati, OH? For Data Analyst Computer Science jobs in Cincinnati, OH, the most frequently searched job titles are:
What job categories do people searching Data Analyst Computer Science jobs in Cincinnati, OH look for? The top searched job categories for Data Analyst Computer Science jobs in Cincinnati, OH are:
What cities near Cincinnati, OH are hiring for Data Analyst Computer Science jobs? Cities near Cincinnati, OH with the most Data Analyst Computer Science job openings:
Infographic showing various Data Analyst Computer Science job openings in Cincinnati, OH as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $79,291 per year, or $38.1 per hour.
Senior Data Analyst

Senior Data Analyst

Narwal

Mason, OH • On-site

$80K - $102K/yr

Full-time

Posted 14 days ago


Job description

Responsibilities:

  • Utilizes a hypothesis-driven problem-solving approach to design, construct, and rapidly test/iterate exploratory data-mining analyses to reveal insight across the portfolio.
  • Interprets and communicates insights to product, service and business management.
  • Works with business leaders to identify and develop metrics and visualizations that will track performance and highlight potential inefficiencies.
  • Develops in-depth understanding of underlying data, data structures, and business uses of data.
  • Develop functional understanding of the business and apply towards building business facing marts
  • Partners with business teams to gather, document and maintain business requirements that will inform data modeling decisions.
  • Compiles data from various sources into a single, consumable, data set, including design and implementation of data cubes.
  • Required strong analytical acumen with the ability to uncover insights and create stories by seamlessly integrating a variety of data sources
  • Proficiency with sophisticated analytics tools and programming languages (e.g., R, Python, SQL, HiveQL) and visualization platforms (Webfocus, Tableau etc)
  • Knowledge of Big Data landscape as demonstrated through experience or certification. Eg., Hadoop, Spark, Hive, Pig, Impala.
  • Working Experience in ETL Tools like DataStage, Informatica and procedures including PL/SQL.
  • Experience with relational databases, OLAP Cubes and data warehousing (Oracle, DB2, Hadoop) preferred
  • Experience in data mining and root cause analysis preferred
  • Ability to work in a fast-paced and dynamic environment
  • Ability to work with large, complex data sets across multiple platforms and design efficient processes to provide accurate and timely information.


Qualifications:
  • Bachelor's degree in Data Analytics, Computer Science, Information Systems or Business; prior work experience in Business Intelligence preferred.
  • Typically requires a minimum of 5 years of related experience with a Bachelor's degree; or 3 years and a Master's degree; or a PhD without experience; or equivalent work experience.