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Data Analyst Python Sql Jobs in Youngstown, OH (NOW HIRING)

Pharmacy Data Management

Senior Data Engineer

Poland, OH · On-site +1

$91K - $124K/yr

Analyze and optimize ETL workflows, SQL queries, data models, and warehouse performance for large-scale datasets and complex reporting workloads. * Partner with business and technical stakeholders to ...

Pharmacy Data Management, Inc.

Senior Data Engineer

Poland, OH · On-site +1

$91K - $124K/yr

Analyze and optimize ETL workflows, SQL queries, data models, and warehouse performance for large-scale datasets and complex reporting workloads. * Partner with business and technical stakeholders to ...

Robert Half

Programmer Analyst II

New Castle, PA · On-site

$80K - $115K/yr

Create and support database-driven applications using SQL Server, including writing queries, procedures, and related data management components. * Troubleshoot software issues, analyze root causes ...

ELLWOOD Groups

AI Innovation Engineer

New Castle, PA · On-site

Collect and analyze data to measure the effectiveness of new technologies and solutions. Map ... Exposure to modern programming/scripting such as Python, C#/.NET, SQL, or similar for automation ...

ELLWOOD Groups

AI Innovation Engineer

New Castle, PA · On-site

Collect and analyze data to measure the effectiveness of new technologies and solutions. • Map ... Exposure to modern programming/scripting such as Python, C#/.NET, SQL, or similar for automation ...

Joy Baking Group

IT Systems Administrator

Hermitage, PA · On-site

$70K - $90K/yr

Must be able to effectively analyze and present complex information * Must be able to communicate ... Scripting background (PowerShell, Python, or similar) for automation and systems management * SQL ...

Joy Baking Group

IT Systems Administrator

Hermitage, PA

$70K - $90K/yr

Must be able to effectively analyze and present complex information * Must be able to communicate ... Scripting background (PowerShell, Python, or similar) for automation and systems management * SQL ...

Joy Baking Group

IT Systems Administrator

Hermitage, PA

$70K - $90K/yr

Must be able to effectively analyze and present complex information * Must be able to communicate ... Scripting background (PowerShell, Python, or similar) for automation and systems management * SQL ...

TSMG

Technical Field Specialist

Youngstown, OH

You'll help ensure top-tier data collection, device performance, and operational reliability in ... SQL, JavaScript a plus) * Excellent written and verbal communication--able to collaborate with ...

TSMG

Technical Field Specialist

Youngstown, OH · On-site

You'll help ensure top-tier data collection, device performance, and operational reliability in ... SQL, JavaScript a plus) * Excellent written and verbal communication-able to collaborate with cross ...

Ultium Cells LLC

IT Specialist

Warren, OH · On-site

... SQL), query analysis, and understanding of SAP ERP-based SCM/Manufacturing data flows. • Comprehensive understanding of servers, networks, and data center facilities to lead technical decision ...

FutureNET

Be Seen First

MuleSoft Developer

Delaware Township, PA · Remote

$55 - $60/hr

Create data mappings, transformations, and orchestration logic using DataWeave. * Participate in ... Strong analytical and problem-solving skills. * Excellent verbal and written communication skills.

Joy Baking Group

IT Systems Administrator

Hermitage, PA · On-site

$70K - $90K/yr

... SQL, Active Directory, DNS, DHCP, File Share and Group Policy * ​Manage Microsoft 365, Azure AD ... analyze and present complex information * ​​Must be able to communicate effectively, both ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Youngstown, OH

Data Analyst Python Sql information

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$32K

$77.7K

$127.8K

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 Youngstown, OH is $77,670.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,700.00 and $91,200.00 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 are popular job titles related to Data Analyst Python Sql jobs in Youngstown, OH?

For Data Analyst Python Sql jobs in Youngstown, OH, the most frequently searched job titles are:

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

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

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

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

Data Analyst Python Sql jobs near you
Infographic showing various Data Analyst Python Sql job openings in Youngstown, OH as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $77,670 per year, or $37.3 per hour.

Senior Data Engineer

Pharmacy Data Management

Poland, OH • On-site, Remote

$91K - $124K/yr

Full-time

Posted 5 days ago

Job description

PDMI is looking to add a Senior Data Engineer to our team! This position is responsible for designing, developing, optimizing, and supporting enterprise data integration, reporting, and analytics solutions. The Senior Data Engineer plays a key role in modernizing the organization's data ecosystem by transitioning legacy SQL Server and SSRS solutions to a scalable, cloud-based architecture centered on Amazon Redshift, AWS data services, and Tableau. This position develops scalable ETL pipelines, data warehouse solutions, governed data products, and secure data delivery capabilities that enable reliable enterprise reporting, analytics, and self-service access to trusted business information.
Since 1984, PDMI has provided pharmacy data processing and other flexible, scalable solutions to help our clients meet their business objectives. We offer transparent, pass-through pharmacy processing and other services for private label Pharmacy Benefit Managers (PBMs), vertically integrated health plans and hospital systems. In addition to Pharmacy Benefit Administrative Services, we offer 340B Administration, Hospice and Long-Term Care Services.
Why Join Us:
  • Best Employer: PDMI was voted Best Employer in Ohio for the 5th consecutive year in 2025!
  • Meaningful Work: Contribute to improving healthcare quality and efficiency.
  • Collaborative Environment: Work with passionate professionals who share your drive.
  • Exciting Challenges: Every day brings new opportunities to excel.
  • Flexible Work: Fully remote opportunity with a company that cares.

Key Responsibilities:
  • Design, develop, optimize, and support scalable ETL pipelines and data integration solutions that enable enterprise reporting, analytics, and data delivery.
  • Develop and optimize complex SQL queries, stored procedures, data transformations, and data models across Amazon Redshift and Microsoft SQL Server environments.
  • Support the modernization of legacy SQL Server and SSRS reporting solutions by migrating data pipelines, reporting processes, and analytics capabilities to AWS-based architectures.
  • Design and maintain cloud-based data warehouse solutions using Amazon Redshift and related AWS services to support scalable, reliable, and high-performing data processing.
  • Develop governed data models, datasets, and data products that enable Tableau reporting, enterprise analytics, and self-service access to trusted business information.
  • Build and enhance scalable data extract, file delivery, and reporting solutions that reduce manual processes and improve the reliability and efficiency of enterprise data delivery.
  • Analyze and optimize ETL workflows, SQL queries, data models, and warehouse performance for large-scale datasets and complex reporting workloads.
  • Partner with business and technical stakeholders to gather requirements, understand reporting and data needs, and translate business requirements into scalable technical solutions.
  • Implement and maintain appropriate data security, role-based access controls, and governance standards across enterprise data and analytics solutions.
  • Monitor, troubleshoot, and resolve data pipeline, data quality, performance, and reporting issues while supporting critical legacy systems throughout modernization efforts.
  • Apply modern software development practices, including source control, code review, testing, CI/CD, documentation, and automation, to data engineering and analytics development.
  • Evaluate and leverage cloud-native services, automation, and AI-assisted development tools to improve development efficiency, monitoring, data operations, and analytics capabilities.
  • Collaborate with Data, Engineering, Product, and business teams to establish sustainable data solutions, reduce reliance on manual reporting and external development resources, and support the continued evolution of the enterprise data platform.

Work & Education Experience Requirements:
  • Bachelor's degree in Data Management, Information Systems, Computer Science, Analytics, or a related field required, or equivalent combination of education and experience.
  • 7+ years of experience in ETL development, data engineering, business intelligence, data warehousing, or a related discipline required.
  • Hands-on experience designing, developing, optimizing, and supporting enterprise data warehouse and ETL solutions, including Amazon Redshift, required.
  • Advanced SQL development expertise, including complex query development, data transformation, and performance optimization required.
  • Strong knowledge of data warehousing concepts, dimensional modeling, enterprise reporting architectures, and large-scale data processing required.
  • Experience gathering business requirements and translating them into scalable data integration, reporting, and analytics solutions required.
  • Experience with Microsoft SQL Server, including legacy data extraction and migration support, required.
  • Experience with SSRS reporting solutions and migrating legacy SQL Server/SSRS environments to modern cloud-based data platforms preferred.
  • Experience developing cloud-native data pipelines using AWS services such as Glue, S3, Lambda, Athena, ECS/EKS, or similar technologies preferred.
  • Experience developing Tableau dashboards, semantic data models, governed data products, and enterprise self-service analytics solutions preferred.
  • Experience implementing data governance, role-based security, Git, CI/CD pipelines, and modern software development practices preferred.
  • Experience within PBM, healthcare, pharmacy claims, 340B, rebate, or claims adjudication environments preferred.
  • Experience using AI-assisted development tools or developing AI-enabled automation, analytics, monitoring, or reporting solutions preferred.

AI Usage & Candidate Authenticity:
AI tools may be used for resume formatting or drafting application materials; however, submitting content that misrepresents your experience, including copied job descriptions or unverifiable work history, is not acceptable. Candidates must be prepared to clearly and confidently speak to all experience listed. PDMI may request work samples, portfolio links, or other forms of validation during the process. Use of AI tools during interviews or assessments, unless explicitly permitted, will result in disqualification.
All offers are contingent upon successful completion of a pre-employment background check, including employment and education verification, as well as a 4-panel drug screen.

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