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

Data Analytics Engineer 2

Hermitage, PA ยท On-site

$104K - $125K/yr

... Python, Tibco, .NET/Java, data visualization and business intelligent tools Power BI, SSRS, or ... Data and Analytics Engineer 2 Business Unit: Technology Reports to: Manager of Data and Analytics ...

Improve data quality, accessibility, and consistency across business systems to strengthen ... Proficiency with Power BI, Tableau, SQL, AI-enabled analytics tools, and related reporting ...

Improve data quality, accessibility, and consistency across business systems to strengthen ... Proficiency with Power BI, Tableau, SQL, AI-enabled analytics tools, and related reporting ...

Summer 2027 Data Engineering Intern

Hermitage, PA ยท On-site +1

$15.25 - $19.75/hr

Analyze data. * Create Spotfire visualizations. * Utilize data virtualization tools. * Write SQL scripts and queries. * Participate and attend FNB related events/trainings that are scheduled for all ...

Summer 2027 Data Engineering Intern

Hermitage, PA ยท On-site +1

$15.25 - $19.75/hr

Analyze data. * Create Spotfire visualizations. * Utilize data virtualization tools. * Write SQL scripts and queries. * Participate and attend FNB related events/trainings that are scheduled for all ...

Summer 2027 Data Engineering Intern

Hermitage, PA ยท On-site +1

$15.25 - $19.75/hr

Analyze data. * Create Spotfire visualizations. * Utilize data virtualization tools. * Write SQL scripts and queries. * Participate and attend FNB related events/trainings that are scheduled for all ...

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Data Analyst Python Sql information

See Youngstown, OH salary details

$32K

$77.7K

$127.8K

How much do data analyst python sql jobs pay per year?

As of Sep 8, 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:

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.

Data Analytics Engineer 2

Fnbcorp

Hermitage, PA โ€ข On-site

$104K - $125K/yr

Full-time

Posted 4 days ago


Job description

Primary Office Location:626 Washington Place. Pittsburgh, Pennsylvania. 15219.Join our team. Make a difference - for us and for your future.

**Please note: this on-site position is based at our Financial Center in Pittsburgh, PA. Candidates must be local, or willing to relocate to area.

FNB will not provide sponsorship for employment-based visas for this position; only candidates who are legally authorized to work in the U.S. will be considered.**

Preferred Requirements:

  • Proficient in banking and financial analytical data modeling (conceptual, logical, & physical) with hands on demonstrative experience designing and building with entity relational modeling technologies or equivalent.
  • Story Proficiency in programming using Microsoft development integration services tech stack, Python, Tibco, .NET/Java, data visualization and business intelligent tools Power BI, SSRS, or Cognos Analytics
  • In-depth experience with secure coding, Continuous Integration and Continuous Delivery/Deployment (CI/CD) pipelines and automated testing frameworks utilizing Azure DevOps (ADO) and Python
  • Masters degree in Computer Science and/or engineering, Statistics, Mathematics, Engineering, Information Systems, Data Science, Economics or related fields

Position Title: Data and Analytics Engineer 2

Business Unit: Technology

Reports to: Manager of Data and Analytics Engineering

Position Overview:

This position is primarily responsible for providing comprehensive data and analytics support for all business units across the corporation and works on low to medium complex and cross-functional data centric solutions, works on multiple projects as a team member, works with BI and Data Analysts to understand customer need.The incumbent collects, analyzes and shares data to help business teams drive improvement in key business metrics, customer experience and business results and has a moderate impact on operations, resources and the corporation's reputation.

Primary Responsibilities:

Works with Business Information and Data Analysts to understand customer needs. Collects, analyzes and shares data to help business teams drive improvement in key business metrics, customer experience and business results. Utilizes database and web application technologies to develop and evaluate innovative business intelligence tools and automated reports.

Develops and tests analytical solutions such as databases, queries, views, reports and dashboards.Assists in data conversions, imports and exports of data within and between internal and external software systems. Documents new and existing models, solutions and implementations.

Designs and builds reporting and analysis tools that help streamline the business and makes reporting, analyzing, planning and forecasting more efficient. Supports and assists with the integration of analytical platforms with enterprise systems and applications. Troubleshoots analytics tools, systems, and software. Tracks performance and production issues.

May assist in performance tuning of analytics applications.Escalates production issues as appropriate.Ensures the collected data is within required quality standards. May maintain the quality of Metadata Repository by adding, modifying and deleting data.

Adheres to process, policies and standards. Keeps customers informed about business intelligence tool problems and resolutions.Tracks and reports on issues and enhancement requests for the business in a timely manner.

Performs regular assignments using own judgment and following the corporation's data policy, while keeping supervisor informed as necessary.Receives general guidance on new projects as to methods, procedures and desired end results.Uses discretion to make decisions within the scope of their responsibilities. Complex assignments are usually reviewed upon completion.

Performs other related duties and projects as assigned.

All employees have the responsibility and the accountability to serve as risk managers for their businesses by understanding, reporting, responding to, managing and monitoring the risk they encounter daily as required by F.N.B. Corporation's risk management program.

F.N.B. Corporation is committed to achieving superior levels of compliance by adhering to regulatory laws and guidelines. Compliance with regulatory laws and company procedures is a required component of all position descriptions.

Minimum Level of Education Required to Perform the Primary Responsibilities of this Position:

BA or BS

Minimum # of Years of Job Related Experience Required to Perform the Primary Responsibilities of this Position:

3

Skills Required to Perform the Primary Responsibilities of this Position:

Excellent customer service skills

Ability to use general office equipment

Ability to work and multi-task in a fast paced environment

Excellent organizational, analytical and interpersonal skills

Detail-oriented

Minimum of 3 years of related technical experience

Minimum of 3 years of experience supporting a major Business Intelligence/Data Warehousing system

Expert skills in data analysis and data mining

Licensures/Certifications Required to Perform the Primary Responsibilities of this Position:

N/A

Physical Requirements or Work Conditions Beyond Traditional Office Work:

N/A


Equal Employment Opportunity (EEO):

It is the policy of F.N.B. Corporation (FNB) and its affiliates not to discriminate against any employee or applicant for employment because of age, race, color, religion, sex, national origin, disability, veteran status or any other category protected by law. It is also the policy of FNB and its affiliates to employ and advance in employment all persons regardless of their status as individuals with disabilities or veterans, and to base all employment decisions only on valid job requirements. FNB provides all applicants and employees a discrimination and harassment free workplace.

FNB will not provide sponsorship for employment-based visas for this position; only candidates who are legally authorized to work in the U.S. will be considered.