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Data Analyst Python Sql Jobs in Ohio (NOW HIRING)

Engineer - Python & SQL

Ashland, OH

$43.50 - $60/hr

Collaborate with data analysts/BI teams to ensure smooth integration between data and Tableau ... SQL DBA , Tableau and Python developer 3-5 years of exp About the Role We are looking for a skilled ...

Senior Data Analyst

Mason, OH · On-site

$80.90K - $102K/yr

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 ...

We're looking for a Data Analyst to join our Fraudsight team and help us unleash the potential of ... Strong skills in SQL and Python, added bonus if you have experience with R. * Proficient in working ...

Data Analyst

Akron, OH · On-site

$79.48K - $139.80K/yr

This position will analyze complex business needs related to C&DS project data and answer critical ... Proficiency in programming languages such as Python, R, or SQL. FirstEnergy takes a market-based ...

Data Analyst

Akron, OH

$79.48K - $139.80K/yr

This position will analyze complex business needs related to C&DS project data and answer critical ... Proficiency in programming languages such as Python, R, or SQL. FirstEnergy takes a market-based ...

Experience with object-oriented programming languages, such as Python * Advanced Alteryx expertise * Advanced SQL expertise * Data Modeling experience * Strong analytical and problem-solving skills

Experience with object-oriented programming languages, such as Python * Advanced Alteryx expertise * Advanced SQL expertise * Data Modeling experience * Strong analytical and problem-solving skills

Sr Business Data Analyst

Lockbourne, OH · On-site

$70K - $115K/yr

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000. For roles ... Extensive experience using SQL or other scripting languages (such as Python or R) to query, clean ...

Actuarial Data Analyst

Cincinnati, OH · Hybrid

$70K - $75K/yr

- The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is ... Python, PySpark, SQL, Dataflow gen 2, Pipelines, Apache Spark jobs, One Lake, Power BI, Data agents ...

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000. For roles ... Extensive experience using SQL or other scripting languages (such as Python or R) to query, clean ...

As a part of the Product Manage Team, the Data Analyst will be responsible for leveraging MS SQL Server and Tableau to create, update, maintain, and analyze reports for various business units and/or ...

What Data Analytics contributes to Cardinal Health The Data Analytics Function oversees the ... Responsibilities Execute data extraction and transformation using SQL, Python, or R. Profile ...

MUST have hands-on experience with data analysis and programming tools such as Python, PySpark, SQL, R, Scala, Visual Basic, or similar technologies used to parse, cleanse, manipulate, analyze, and ...

Data Analyst

Dayton, OH · On-site

$75K - $89K/yr

MUST have hands-on experience with data analysis and programming tools such as Python, PySpark, SQL, R, Scala, Visual Basic, or similar technologies used to parse, cleanse, manipulate, analyze, and ...

Sr Business Data Analyst

Westerville, OH · On-site +1

$70K - $115K/yr

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000. For roles ... Extensive experience using SQL or other scripting languages (such as Python or R) to query, clean ...

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Data Analyst Python Sql information

What are the key skills and qualifications needed to thrive as a Data Analyst with Python and SQL, and why are they important?

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 are Data Analyst Python SQL jobs?

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 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 Ohio look for? The top searched job categories for Data Analyst Python Sql jobs in Ohio are:
What cities in Ohio are hiring for Data Analyst Python Sql jobs? Cities in Ohio with the most Data Analyst Python Sql job openings:
Infographic showing various Data Analyst Python Sql job openings in Ohio as of May 2026, with employment types broken down into 5% As Needed, 49% Full Time, 20% Part Time, 25% Contract, and 1% Nights. Highlights an 67% Physical, 11% Hybrid, and 22% Remote job distribution.
Engineer - Python & SQL

Engineer - Python & SQL

IntraEdge

Ashland, OH

$43.50 - $60/hr

Full-time

Posted yesterday


Job description

SQL DBA , Tableau and Python developer 3-5 years of exp

About the Role

We are looking for a skilled Python Developer with hands-on experience in building and consuming API's, designing database schemas, and integrating data pipelines that support visualization in Tableau. The ideal candidate will have a strong foundation in Python development, database design and API integration, with an added advantage of working knowledge of Tableau for data visualization. 

Key Responsibilities

  • API Development & Integration
    1. Design, develop, and maintain RESTful APIs using Python frameworks (e.g., FastAPI, Flask, or Django).
    2. Consume third-party APIs and integrate them with internal systems.
    3. Optimize data storage and retrieval mechanisms for performance and scalability.
    4. Ensure API performance, security, and scalability.
    5. Implement data validation and quality checks to ensure accuracy and consistency
  • Database Modeling & Architecture 
    1. Design and implement relational database schemas (PostgreSQL, MySQL, or similar).
    2. Write optimized SQL queries, stored procedures, and triggers.
    3. Evaluate and implement data storage solutions, including relational databases, NoSQL databases, data lakes, and cloud storage services.
    4. Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.
    5. Manage ETL (Extract, Transform, Load) processes to store and prepare data for analytics.
  • Data Deployment & Visualization
    1. Deploy API data into structured databases.
    2. Prepare datasets for visualization in Tableau. 
    3. Collaborate with data analysts/BI teams to ensure smooth integration between data and Tableau dashboards.
  • Collaboration & Best Practices
    1. Work with cross-functional teams (Data, DevOps, BI) to deliver endt-to-end solutions.
    2. Follow coding standards, version control (Git), and CI/CD pipelines.
    3. Document technical designs, workflows, and best practices to facilitate knowledge sharing and maintain system documentation.

Required Skills & Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. Master's degree preferred.
  • Proficiency in programming languages commonly used in data engineering (e.g., Python, Java, Scala, etc.).
  • Strong knowledge of Python programming and frameworks for API development.
  • Experience in API consumption and integration. 
  • Hands-on experience in relational databases (PostgreSQL, MySQL, or similar) including schema design and query optimization.
  • Understanding of ETL processes and data pipeline development.
  • Familiarity with deployment best practices and Git-based workflows.

Good to Have

  • Basic experience with Tableau (creating simple dashboards or understanding Tableau data sources). 
  • Exposure to cloud platforms (AWS, GCP, or Azure).
  • Knowledge of containerization (Docker, Kubernetes).
  • Understanding of data security and API authentication standards (OAuth, JWT).
  • Certification on any core product skills 

Soft Skills

  • Strong problem-solving ability and attention to detail.
  • Excellent communication skills to work with both technical and non-technical stakeholders.
  • Ability to work independently as well as part of collaborative team.

SQL DBA , Tableau and Python developer 3-5 years of exp

About the Role

We are looking for a skilled Python Developer with hands-on experience in building and consuming API's, designing database schemas, and integrating data pipelines that support visualization in Tableau. The ideal candidate will have a strong foundation in Python development, database design and API integration, with an added advantage of working knowledge of Tableau for data visualization. 

Key Responsibilities

  • API Development & Integration
    1. Design, develop, and maintain RESTful APIs using Python frameworks (e.g., FastAPI, Flask, or Django).
    2. Consume third-party APIs and integrate them with internal systems.
    3. Optimize data storage and retrieval mechanisms for performance and scalability.
    4. Ensure API performance, security, and scalability.
    5. Implement data validation and quality checks to ensure accuracy and consistency
  • Database Modeling & Architecture 
    1. Design and implement relational database schemas (PostgreSQL, MySQL, or similar).
    2. Write optimized SQL queries, stored procedures, and triggers.
    3. Evaluate and implement data storage solutions, including relational databases, NoSQL databases, data lakes, and cloud storage services.
    4. Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.
    5. Manage ETL (Extract, Transform, Load) processes to store and prepare data for analytics.
  • Data Deployment & Visualization
    1. Deploy API data into structured databases.
    2. Prepare datasets for visualization in Tableau. 
    3. Collaborate with data analysts/BI teams to ensure smooth integration between data and Tableau dashboards.
  • Collaboration & Best Practices
    1. Work with cross-functional teams (Data, DevOps, BI) to deliver endt-to-end solutions.
    2. Follow coding standards, version control (Git), and CI/CD pipelines.
    3. Document technical designs, workflows, and best practices to facilitate knowledge sharing and maintain system documentation.

Required Skills & Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. Master's degree preferred.
  • Proficiency in programming languages commonly used in data engineering (e.g., Python, Java, Scala, etc.).
  • Strong knowledge of Python programming and frameworks for API development.
  • Experience in API consumption and integration. 
  • Hands-on experience in relational databases (PostgreSQL, MySQL, or similar) including schema design and query optimization.
  • Understanding of ETL processes and data pipeline development.
  • Familiarity with deployment best practices and Git-based workflows.

Good to Have

  • Basic experience with Tableau (creating simple dashboards or understanding Tableau data sources). 
  • Exposure to cloud platforms (AWS, GCP, or Azure).
  • Knowledge of containerization (Docker, Kubernetes).
  • Understanding of data security and API authentication standards (OAuth, JWT).
  • Certification on any core product skills 

Soft Skills

  • Strong problem-solving ability and attention to detail.
  • Excellent communication skills to work with both technical and non-technical stakeholders.
  • Ability to work independently as well as part of collaborative team. 
Education:Employment Type: FULL_TIME

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About IntraEdge

Sourced by ZipRecruiter

At heart, we are a technology, products and services organization In our soul, it’s the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative solutions and value for our national and international partners. It’s true that innovative technology can provide a major boost to your business, but you also need the right talent pushing it forward. This critical combination is what we offer all of our partners: cutting edge tech solutions and the expertise to bring it to life.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chandler, AZ, US

Year founded

2002

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