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Business Analyst Sql R Python Jobs in Cleveland, OH

Sarian, Inc.

Python Developer

Strongsville, OH · On-site

$46.25 - $64/hr

Experience with relational databases (SQL) and/or NoSQL databases. * APIs: Familiarity with REST ... Ability to analyze problems, identify solutions, and implement them effectively. Roles ...

Uakron

Lead Business Intelligence Analyst

Akron, OH

Requirements Bachelor's degree in Computer Science/Data Analytics, or related discipline and 4 years' experience analyzing databases using SQL (or other query languages such as Python, R, SAS). 2 ...

FirstEnergy

Data Analyst

Akron, OH · On-site

$79K - $139K/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 ...

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How much do business analyst sql r python jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for business analyst sql r python in Cleveland, OH is $46.00, according to ZipRecruiter salary data. Most workers in this role earn between $34.52 and $57.60 per hour, depending on experience, location, and employer.

What is a business analyst SQL R Python?

Business Analyst SQL R Python roles refer to positions where professionals analyze business data and processes using tools such as SQL for database querying, and R or Python for statistical analysis and data visualization. These analysts help organizations make data-driven decisions by extracting, interpreting, and presenting insights from large datasets. They often work closely with stakeholders to understand business requirements and translate them into technical solutions. Proficiency in SQL, R, and Python allows them to efficiently manipulate data, build predictive models, and automate reporting tasks.

How do business analysts with SQL, R, and Python typically collaborate with data engineering and product teams?

Business Analysts with SQL, R, and Python skills frequently work alongside data engineering teams to define data requirements, validate data pipelines, and ensure data quality for analysis. They also collaborate with product teams to translate business needs into actionable insights and develop data-driven recommendations. Regular communication is essential, as analysts often bridge the gap between technical and non-technical stakeholders, facilitating workshops or meetings to clarify requirements and present findings. This collaborative environment helps ensure that analytical solutions are both technically sound and aligned with business goals.

What are the key skills and qualifications needed to thrive as a business analyst with SQL, R, and Python expertise?

To thrive as a Business Analyst with SQL, R, and Python expertise, you need strong analytical skills, business acumen, and a background in data analysis or a related field. Proficiency with SQL for database querying, R and Python for data manipulation and statistical analysis, and familiarity with business intelligence tools are typically required. Excellent communication, problem-solving abilities, and stakeholder management skills help you translate complex data insights into actionable business strategies. These skills ensure you can extract, interpret, and present data-driven recommendations that support informed decision-making and drive business value.

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Python Developer

Strongsville, OH • On-site

Sarian, Inc.
See more jobs at Sarian, Inc.external

$46.25 - $64/hr

Full-time

This job post has expired 1 day ago. 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.

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