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Data Analyst Python Sql Jobs in Cincinnati, OH (NOW HIRING)

Digital Analyst Internships

Covington, KY

$95K - $113K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Covington, KY · On-site

$95K - $113K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Data and AI Analyst

Fairfield, OH · On-site

$85 - $125/hr

Proficiency in SQL and at least one analytics language (Python or R), plus BI tools (e.g., Power BI ... Solid understanding of data governance, security, and compliance, especially for defense or highly ...

ETRA Senior Data Analyst

Covington, KY · On-site

$83K - $105K/yr

Strong proficiency in querying, analyzing, and managing data within relational database environments, including SQL Server, Oracle, Snowflake, and DB2 * Advanced proficiency and demonstrated ...

IT Data Claims Analyst

Mason, OH · On-site

$45 - $48/hr

Job title: IT Data Analyst Location 4000 Luxottica Place, Mason, OH 45040 (Hybrid: 3 days onsite ... Write SQL queries and export from database to analyze and troubleshoot configuration issues, as ...

I have an opportunity for "ETL Data Analyst - Cincinnati, OH (Remote till COVID)" and I am looking ... Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL ...

Experience with data analysis and tools (e.g., Excel, SQL, or similar platforms) * Ability to synthesize complex data into clear insights and recommendations * Strong written and verbal communication ...

Showing results 21-40

Data Analyst Python Sql information

See Cincinnati, OH salary details

$32.6K

$79.3K

$130.5K

How much do data analyst python sql jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data analyst python sql 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.

What is a data analyst Python SQL?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

How does a data analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What job categories do people searching Data Analyst Python Sql jobs in Cincinnati, OH look for?

The top searched job categories for Data Analyst Python Sql jobs in Cincinnati, OH are:

What cities near Cincinnati, OH are hiring for Data Analyst Python Sql jobs?

Cities near Cincinnati, OH with the most Data Analyst Python Sql job openings:

Infographic showing various Data Analyst Python Sql job openings in Cincinnati, OH as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $79,291 per year, or $38.1 per hour.

Business Analyst / Data Engineer II

3B Staffing LLC

Cincinnati, OH • On-site

Full-time

Posted 24 days ago


Job description

JOB TITLE: Business Analyst - Data Engineer II

MUST HAVE SKILLS

  • Power BI 3-4 years
  • Analytical
  • SQL, 3-5 years
  • Strong Communications Skills
  • Able to run meetings
  • Problem Solving and Critical Thinking

NICE TO HAVE SKILLS/Experience

  • DataStage
  • Dataiku
  • AFS system application (AFS Level III or Vision)

GENERAL FUNCTION:

  • The data engineer/business analyst designs solutions that help the bank manage, secure, and generate value from its data.
  • The person in this role creates scalable and reusable solutions for gathering, collecting, storing, processing, and serving data on both small and very large (i.e. Big Data) scales.
  • These solutions can include on-premises and cloud-based data platforms, and solutions in any of the following domains ETL, business intelligence, analytics, persistence (relational, NoSQL, data lakes), search, messaging, data warehousing, stream processing, and machine learning.
  • Responsible and accountable for risk by openly exchanging ideas and opinions, elevating concerns, and personally following policies and procedures as defined.
  • Accountable for always doing the right thing for customers and colleagues and ensures that actions and behaviors drive a positive customer experience. While operating within the Bank's risk appetite, achieves results by consistently identifying, assessing, managing, monitoring, and reporting risks of all types.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

  • Ability to work independently, meet with line of business and ask questions to gain an understanding of their requirements. Critical thinking skills would then take those requirements and break them down into the lowest level what so that functional design can be completed.
  • Ability to collaborate with team members that are more technical and communicate those requirements in a way that allows the tech team members to understand them and determine the proper technical design.
  • Ability to create clear and complete Test Acceptance criteria and execute the testing to ensure accurate output during Unit and UAT.
  • Capable of creating and executing SQL scripts for ETL/data testing.
  • Conduct research and Development based on current trends and technologies related to the banking industry, data engineering and architecture, data security, and related topics.
  • Ability to build CI/CD pipelines, Self-service Build tools, and automated deployment processes.
  • Evaluate software products and provide documented recommendations as needed.
  • Provide Support and troubleshooting for data platforms. Must be willing to Provide escalated on-call Support for complicated and/or critical incidents.
  • Plan and work on internal projects as needed, including legacy system replacement, Monitoring and analytics improvements, tool Development, and technical documentation.
  • Provide guidance and mentoring for other team members.
  • Manage and prioritize multiple assignments.

SUPERVISORY RESPONSIBLITIES: None

MINIMUM KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:

  • Bachelor's degree in Computer Science/Information Systems or equivalent combination of education and experience.
  • Strong communication skills- Must be able to communicate ideas both verbally and in writing to management, business and IT sponsors, and technical resources in language that is appropriate for each group.
  • Excellent analytical and problem-solving skills when resolving data related issues or designing new solutions
  • Technical skills - SQL (3-5 years of experience), DataStage (ETL), DBT, Snowflake, Python
  • Conceptual understanding of one or more of the following disciplines preferred big data technologies and distributions, metadata management products, commercial ETL tools, Data Visualization and reporting tools, data warehousing, SQL, data testing, major cloud, or rest API design and development.
  • Experienced in SDLC and can assist in Project Management. Able to understand release management protocols and manage important tasks for implementation.