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Data Analyst Python Sql Jobs in Strongsville, OH

Python Developer

Strongsville, OH · On-site

$46.25 - $64/hr

Experience with relational databases (SQL) and/or NoSQL databases. * APIs: Familiarity with REST ... Data Analysis/Machine Learning: Utilizing Python libraries like Pandas, NumPy, and Scikit-learn for ...

Digital Analyst Internships

Cleveland, OH · On-site

$95K - $112K/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

Cleveland, OH

$95K - $112K/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 ...

... python • Extracting and Loading Data using API's • Building ETL processes Qualifications ... Should have hands on experience with writing complex and optimized queries, analytical queries and ...

Experience utilizing SQL and/or analytical programming languages (Python, SAS, R, or equivalent) to query, analyze, and transform data. * Experience developing data visualizations, dashboards, and ...

Experience utilizing SQL and/or analytical programming languages (Python, SAS, R, or equivalent) to query, analyze, and transform data. * Experience developing data visualizations, dashboards, and ...

Data Analytics Engineer

Cleveland, OH · On-site +1

$110K - $133K/yr

Mastery of analytic and data visualization tools such as SAS, SQL, Adobe Analytics Tableau, Google Analytics, Python or R, AWS Cloud Services (Cloudwatch ,EC2, EMR, Redshift, Athena,Glue) etc

Senior Data Analyst

Cuyahoga Falls, OH · On-site

$72K - $130K/yr

Data Analysis & Reporting * Extract, manipulate, interpret and summarize data to answer business ... Proficient in MS Excel and SQL Preferred Qualifications: * PowerBI/Tableau experience * Familiarity ...

Senior Data Analyst

Cuyahoga Falls, OH · Remote

$72K - $130K/yr

Data Analysis & Reporting * Extract, manipulate, interpret and summarize data to answer business ... Proficient in MS Excel and SQL Preferred Qualifications: * PowerBI/Tableau experience * Familiarity ...

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Data Analyst Python Sql information

See Strongsville, OH salary details

$31.4K

$76.3K

$125.5K

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

As of Sep 8, 2026, the average yearly pay for data analyst python sql in Strongsville, OH is $76,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,700.00 and $89,500.00 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.

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

Python Developer

Strongsville, OH • On-site

$46.25 - $64/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Must Have Technical/Functional Skills:
  • Python Programming: Proficiency in Python language and its ecosystem.
  • Frameworks: Knowledge of Python web frameworks (Django, Flask, etc.).
  • Databases: Experience with relational databases (SQL) and/or NoSQL databases.
  • APIs: Familiarity with REST APIs and other API protocols.
  • Version Control: Proficiency with Git and other version control systems.
  • Testing: Knowledge of unit testing, integration testing, and automated testing frameworks.
  • Debugging: Strong debugging skills and ability to troubleshoot issues.
  • Problem-solving: Ability to analyze problems, identify solutions, and implement them effectively.

Roles & Responsibilities:
  • Code Development: Writing, testing, and debugging Python code for various applications.
  • Back-end Development: Developing server-side logic, back-end components, and APIs.
  • Integration: Integrating applications with other services and systems.
  • Frameworks: Utilizing Python frameworks like Django and Flask for web application development.
  • Collaboration: Working with front-end developers, software architects, and other teams to deliver cohesive solutions.
  • Optimization: Optimizing code for performance, scalability, and security.
  • Data Analysis/Machine Learning: Utilizing Python libraries like Pandas, NumPy, and Scikit-learn for data analysis and machine learning tasks.
  • Testing: Implementing test-driven development and automated testing.
  • Debugging: Troubleshooting and debugging application issues.
  • Security: Implementing security measures to protect data and applications.