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Data Analyst Python Sql Jobs in Ohio (NOW HIRING)

Sr. Data Analyst

Columbus, OH

$83.10K - $104.80K/yr

The Senior Data Analyst will collaborate closely with both internal and client-facing teams to ... Advanced skills in SQL and Python, with experience in database management. * Proficiency in data ...

Sr. Data Analyst

Columbus, OH · On-site

$83.10K - $104.80K/yr

The Senior Data Analyst will collaborate closely with both internal and client-facing teams to ... Advanced skills in SQL and Python, with experience in database management. * Proficiency in data ...

Sr. Data Analyst

Columbus, OH · On-site

$83.10K - $104.80K/yr

The Senior Data Analyst will collaborate closely with both internal and client-facing teams to ... Advanced skills in SQL and Python, with experience in database management. * Proficiency in data ...

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 ...

Junior Data Analyst

Dayton, OH · On-site

$59K - $63K/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 ...

Significant experience with data analysis software such as Python, R, or Matlab. * Experience solving analytical problems using quantitative approaches. * Experience with hypothesis testing - the ...

Significant experience with data analysis software such as Python, R, or Matlab. * Experience solving analytical problems using quantitative approaches. * Experience with hypothesis testing - the ...

DATA ENGINEER IV

Cincinnati, OH · On-site

$68 - $70/hr

Must Have Python SQL Nice To Have AWS Sagemaker DBT Snowflake What You'll Do Squad: Machine Learning Data Enablement squad in the Data Insights Tribe Required: In office 4 days a week minimum (Monday ...

Proficient in SQL and experience with other data analysis tools is a plus * Ability to analyze data, evaluate alternatives and make recommendations considering impact of decisions. * Columbus Ohio ...

Proficient in SQL and experience with other data analysis tools is a plus * Ability to analyze data, evaluate alternatives and make recommendations considering impact of decisions. * Columbus Ohio ...

Experience Requirements (Skills, Knowledge, and Abilities) 1. Minimum one year of related experience, including data analysis, data management & manipulation, query writing (i.e., SQL or techniques ...

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 ...

... SQL statements required Experience with R or SAS required. Experience with Oracle or Teradata database desired Prior experience in a data analytics role strongly preferred Knowledge of statistical ...

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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.
Sr. Data Analyst

$83.10K - $104.80K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago


Job description

Description

About Us

At Gifthealth, we're revolutionizing the way people experience healthcare by simplifying the process of managing prescriptions and health services. Our mission is to provide a best in class, seamless, personalized, and efficient healthcare experience for all our customers. We're a dynamic, innovative, and customer-centric company dedicated to making a positive impact on people's lives.

Position Overview

We are looking for a meticulous Senior Data Analyst with exceptional skills in data analytics and reporting to join our team. This role will serve as a vital link between our business intelligence team, commercial, and client success departments. The Senior Data Analyst will collaborate closely with both internal and client-facing teams to ensure seamless alignment across all analytics initiatives, performance measurement, and key insights. Reporting directly to the Executive Director of Data Strategy, this position is an integral part of the iBIDADS team. 

Data Management & Analytics Support:

  • Build, develop, and maintain datasets to support automated reporting solutions and program performance measurement, ensuring alignment with established SLAs.
  • Support commercial teams with data needs for performance reviews, business planning activities, and newly onboarded business.
  • Conduct ad hoc analysis to investigate and resolve program issues, providing critical support during QBR, Business Planning, and Launch Execution.
  • Manage third-party data integration and analysis, including shipping analytics and return-to-sender reconciliation processes.

Program Performance Analytics:

  • Design and implement internal and client-facing program performance datasets, tracking and analyzing key SLA measurements and program KPIs.
  • Co-develop dashboards that visualize program performance trends, providing data-driven insights to client-facing teams and internal operational support.
  • Collaborate with both internal operations and client-facing BI teams to ensure consistent metrics and reporting.
  • Provide data-driven insights to the commercial and internal teams

Cross-Functional Collaboration:

  • Partner with internal and customer-facing BI departments on healthcare analytics initiatives, supporting the internal operations excellence team and commercial team with key performance insights.
  • Ensure consistent data definitions and metrics across both BI functions, contributing to monetization opportunities through consulting and data products.
  • Work closely with Product Engineering to ensure product features, enhancements, and changes are reflected in the datasets

Data Quality & Governance:

  • Ensure accuracy, reliability, and security of all performance data, implementing data validation processes and quality control measures.
  • Document data lineage and maintain data dictionaries, collaborating with stakeholders to define business rules and metrics.
  • Stay updated with industry trends and best practices to continuously improve data management and analytics processes.

Requirements

Required Qualifications:

  • Bachelor's degree in Data Analytics, Statistics, or a related field.
  • 10+ years of experience in data analysis, with at least 3 years focused on healthcare reporting.
  • Advanced skills in SQL and Python, with experience in database management.
  • Proficiency in data visualization tools such as Tableau, Looker, Metabase, Domo, or similar.
  • Strong understanding of healthcare metrics and reporting requirements.
  • Experience supporting commercial and operations teams with program performance and identification of opportunities.
  • Excellent problem-solving skills and attention to detail.
  • Deep passion for data, analytics, and a natural curiosity to explore and extract key insights.

Preferred Qualifications:

  • Experience in the healthcare industry.
  • Knowledge of data warehouse concepts and ETL processes.
  • Understanding of SLA management and performance metrics.
  • Experience working in dual-focused BI environments (internal and client-facing).
  • Familiarity with pharmacy management systems and logistics data.
  • Experience with data transfer agreements, data use agreements, and third-party data integration.
  • Experience with cloud-based data platforms.

Personal Attributes:

  • Natural curiosity about data and its business implications.
  • Strong desire to track and improve program performance.
  • Can-do attitude with a passion for solving complex problems.
  • Detail-oriented with a commitment to data accuracy and quality.
  • Excellent communication skills to translate technical findings to business stakeholders.
  • Self-motivated with the ability to work independently and as part of a team.
  • Team player willing to go the extra mile to support organizational goals.
  • Adaptable and responsive during high-pressure periods like launches, business planning, and quarterly reporting.
  • Commitment to continuous learning and staying updated with industry trends.

What Success Looks Like:

  • The commercial team consistently receives accurate, timely data for program management and performance.
  • Client-facing teams leverage insights to enhance customer relationships and drive business growth.
  • SLAs are consistently met for all reporting requirements, ensuring high standards of service.
  • New programs are seamlessly integrated into reporting and data systems.
  • Continuous improvement of data processes and reporting efficiency is achieved.
  • Seamless collaboration between internal and client-facing BI functions is maintained.
  • Operational metrics are effectively tracked and analyzed to drive commercial success and program performance.
  • Data sources are effectively integrated and governed, ensuring data quality and reliability.
  • Data security and privacy are maintained, ensuring compliance with relevant regulations.
  • Innovation and staying updated with industry trends are prioritized to maintain a competitive edge.
  • User satisfaction and feedback are actively sought and incorporated to continuously improve data solutions.

Our Offer To Ensure You Choose Gifthealth

This is a unique opportunity to impact the lives of thousands of patients while shaping the future of patient care in a fast-paced, tech-enabled pharmacy services organization. You'll be empowered to lead at scale, innovate with purpose, and build an enduring culture of excellence.

  • Competitive salary and a comprehensive benefits package, including medical, dental, and vision insurance.
  • 401(k) with company match that is immediately vested.
  • Generous paid time off and flexible work environment.
  • Ongoing professional development and career growth opportunities.

Gifthealth is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Join us in transforming healthcare and making a difference in people's lives. Apply today!