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Data Analyst Python Sql Jobs in Strongsville, OH

Greenfield Talent

Data Engineer (Remote)

Cleveland, OH · Remote

$111K - $133K/yr

Strong SQL skills and a solid understanding of data modeling for analytics * Practical experience ... Working knowledge of Python for data processing and scripting * Experience with REST APIs and ...

FocusKPI

Marketing Operations Analyst

Cleveland, OH · On-site

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Stem Xpert

SQL DEVELOPER

Cleveland, OH · On-site

$44 - $60.25/hr

Our tightly integrated offerings are tailored towards Application Development, Testing, Analysis ... Visual Studio Data Compare Tool Database Administration, Tuning, Management and Security.

WW&R

Data Platform Engineer

Independence, OH · Hybrid

$79K - $102K/yr

Familiarity with scripting (PowerShell, Python, T-SQL). * Excellent communication and documentation ... Close visual acuity is needed to read, analyze data, and view a computer terminal for extended ...

Pursuit Aerospace

Lead Data Scientist

Euclid, OH · On-site

$144K - $198K/yr

Proficient in SQL, Python, ML modeling, and time-series analytics; hands-on AI-assisted coding against Snowflake tables, pipeline orchestration, GitHub for CI/CD, Azure data platform * Effective AI ...

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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 Aug 19, 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.

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

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

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

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

Data Analyst Python Sql jobs near you

Data Engineer (Remote)

Greenfield Talent

Cleveland, OH • Remote

$111K - $133K/yr

Full-time

Re-posted 26 days ago

Job description

We’re looking for a Data Engineer to join our Data & Analytics team and take ownership of the data infrastructure that powers internal analytics, reporting, and operational insights. This is a hands‑on role where you’ll manage and evolve our ELT pipelines, Snowflake environment, and Python‑based integrations while partnering closely with analysts and systems administrators who rely on high‑quality, reliable data.

What You’ll Do

  • Own the day‑to‑day operation, maintenance, and enhancement of ELT pipelines and the Snowflake data warehouse

  • Troubleshoot and resolve pipeline failures, data quality issues, and performance bottlenecks

  • Design, build, and document new data models and transformations as analytical needs evolve

  • Ensure data reliability, consistency, and availability for downstream consumers

  • Support and extend API integration workflows built with Boomi and Python

  • Maintain and contribute to custom Python applications used across the team

  • Collaborate with internal stakeholders to scope and deliver new data integration projects

  • Participate in evaluating modern data tooling as we consider improvements to our architecture

  • Document systems, processes, and decisions to build long‑term institutional knowledge

What You Bring

  • Bachelor’s degree in Computer Science, Information Systems, Statistics, or a related field (preferred)

  • 3–5 years of hands‑on experience in a data engineering role

  • Strong SQL skills and a solid understanding of data modeling for analytics

  • Practical experience with Snowflake or a similar cloud data warehouse

  • Familiarity with ELT/ETL concepts and tools (WhereScape RED, Matillion, Airbyte, dbt, etc.)

  • Working knowledge of Python for data processing and scripting

  • Experience with REST APIs and integrating external data sources

  • Comfort digging into unfamiliar systems to diagnose root‑cause issues

  • Experience using GitHub for version control

Nice to Have

  • Exposure to enterprise integration platforms (Boomi or similar iPaaS tools)

  • Experience with Oracle EBS or Salesforce

  • Familiarity with data pipeline orchestration concepts

  • Experience partnering closely with BI or analytics teams