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

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 ...

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MuleSoft Developer

Delaware Township, PA · Remote

$45/hr

  • Medical

  • Retirement

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

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... 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.

IT Specialist

Ultium Cells LLC

Warren, OH • On-site

Full-time

Re-posted 12 days ago

Ultium Cells rating

6.0

Company rating: 6.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

Job description

Job Summary:
Ultium Cells LLC is a joint venture between LG Energy Solutions and General Motors focused on automotive battery cell manufacturing. The IT Specialist will manage manufacturing IT systems, ensuring integration between production operations and digital systems while maintaining infrastructure reliability and driving technical innovation.
Responsibilities:
• Logic Validation & Engineering: Analyze, develop, and validate complex business logic within MES and logistics systems to improve operational efficiency and system performance
• Technical Liaison: Act as a primary technical liaison between production teams and HQ, translating shop-floor requirements into technical specifications aligned with global engineering standards.
• Advanced Structural Troubleshooting: Perform advanced troubleshooting and Root Cause Analysis on complex system issues spanning across application and infrastructure layers.
• Process Innovation: Support continuous improvement initiatives by optimizing system workflows and process logic to minimize production downtime.
• Infrastructure Ownership: Maintain full technical ownership of mission-critical on-site data centers, servers, and facility environments, ensuring maximum system stability and uptime
• Network & Connectivity Engineering: Oversee industrial network connectivity, including cabling and device integration, to ensure robust communication between shop-floor equipment and IT systems.
• Technical Governance: Establish and enforce IT governance standards, ensuring strict compliance with global security policies and infrastructure guidelines.
• Vendor Audit & Management: Manage and audit external technical partners and service providers to ensure performance quality and adherence to rigorous engineering standards.
• Strategic Investment Planning: Lead IT investment planning and operational budget management to align technical capabilities with long-term strategic objectives.
• Lifecycle Asset Management: Manage the full lifecycle of IT assets, including procurement, inventory tracking, maintenance, and secure disposal of high-value technical equipment.
• General Technical Support: Provide essential technical support for both office and production environments, ensuring end-user productivity through the management of enterprise applications and communication tools.
Qualifications:
Required:
• Bachelor’s degree in Engineering, Information Technology, or a related field.
• Proven experience in MES and Logistics system logic (preferably in high-tech manufacturing such as Battery, Auto, or Display).
• Strong proficiency in database structures (Oracle, MS 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-making.
• Ability to perform structural root cause analysis and optimize complex system workflows.
• Experience in IT Investment Planning, lifecycle asset management, and operational budgeting.
• Exceptional ability to bridge technical and operational teams through proactive collaboration.
• Self-directed mindset with a proven ability to manage complex technical environments.
• Willingness to support flexible operations to ensure 24/7 manufacturing continuity.
• Professional fluency in both English and Korean required, with the ability to lead technical presentations and remote meetings with global teams.
Company:
Electricity is the future of transportation, powered by battery cells that are designed and manufactured by some of the brightest, most innovative people in the world. Founded in 2020, the company is headquartered in Warren, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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