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Full Stack Data Analyst Jobs in Ohio (NOW HIRING)

Architect and build back-end processing logic and services for complex, data-intensive applications ... Provide technical leadership in software architecture discussions, including trade-off analyses ...

Architect and build back-end processing logic and services for complex, data-intensive applications ... Provide technical leadership in software architecture discussions, including trade-off analyses ...

Architect and build back-end processing logic and services for complex, data-intensive applications ... Provide technical leadership in software architecture discussions, including trade-off analyses ...

Full Stack Developer Setting/Hours: 100% In-Office | 8-5 Join trak group in partnering with a ... and data protection standards. Highly detail-oriented and proactive with strong analytical and ...

Full Stack Engineer Anywhere Type: Contract Category: Development Industry: Technology Workplace ... Ability to leverage data, telemetry, and analytics to inform engineering decisions. Education ...

Full Stack Developers Overview: This role is accountable for E2E development of Identity and Access ... Spring Boot, Spring Data JPA, and Spring Security (OAuth2/JWT). * Experience designing ...

Build and support data integration, ETL, and API-based solutions. * Translate business and ... Strong analytical and problem-solving skills. * Excellent communication and stakeholder management ...

You will be a member of our Data Viz squad, building dynamic data presentation features that ... Develop Full-Stack Features : Build and maintain scalable, secure APIs and backend services using ...

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Full Stack Data Analyst information

See Ohio salary details

$32.3K

$78.6K

$129.3K

How much do full stack data analyst jobs pay per year?

As of Jun 9, 2026, the average yearly pay for full stack data analyst in Ohio is $78,566.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,400.00 and $92,200.00 per year, depending on experience, location, and employer.

What is the difference between Full Stack Data Analyst vs Data Scientist?

AspectFull Stack Data AnalystData Scientist
Required SkillsData analysis, visualization, basic programming, SQL, reportingAdvanced programming, statistical modeling, machine learning, data engineering
Work EnvironmentBusiness teams, analytics departments, reporting toolsResearch teams, data science departments, AI/ML projects
CertificationsData analysis, SQL, Excel certificationsData science, machine learning, Python/R certifications
Industry UsageBusiness intelligence, marketing, financeResearch, AI development, predictive modeling

While both roles involve working with data, Full Stack Data Analysts focus on end-to-end data analysis and reporting within business contexts, whereas Data Scientists develop advanced models and algorithms for predictive insights. The roles often overlap in skills like SQL and programming, but Data Scientists typically require deeper expertise in statistical methods and machine learning.

What job categories do people searching Full Stack Data Analyst jobs in Ohio look for? The top searched job categories for Full Stack Data Analyst jobs in Ohio are:
What cities in Ohio are hiring for Full Stack Data Analyst jobs? Cities in Ohio with the most Full Stack Data Analyst job openings:
Full Stack Engineer

Other

Posted 2 days ago


Job description

Senior Full Stack Engineer

We are a full stack data science company and a wholly owned subsidiary of The Kroger Company. We own 10 Petabytes of data, and collect 35+ Terabytes of new data each week sourced from 62 Million households. As a member of our software engineering team you will use various cutting-edge technologies to develop applications that turn our data into actionable insights used to personalize the customer experience for shoppers at Kroger.

What you'll do:

As a Senior Full Stack Engineer, you are part of the software development team. We develop solutions to deliver data science as a service. Our developers use Big Data and Web technologies including (but not limited to) Angular, Python/PySpark/Flask, and SQL to develop products, tools and software features in the cloud.

Responsibilities:

Take ownership of features and drive them to completion through all phases of the entire 84.51° SDLC. This includes external facing and internal applications as well as process improvement activities such as:

  • Participate in design of Big Data platforms and SQL based solutions
  • Perform development of Big Data platforms and SQL based solutions
  • Perform unit and integration testing
  • Partner with senior resources, gaining insights
  • Participate in retrospective reviews
  • Participate in the estimation process for new work and releases
  • Be driven to improve yourself and the way things are done

Minimum Skills Required:

• Bachelor’s degree (typically in Computer Science, Management Information Systems, Mathematics, Business Analytics or another technically strong program), plus 2 years of experience

• Proven Big Data technology development experience with Spark (PySpark)

• Experience with 3-Tier web application/REST API development (angular/python flask preferred)

• Experience developing with Python

• Cloud Development (Azure)??

• Understanding of Agile Principles (Scrum)

• Exposure to VCS (Git, SVN)

• Experience developing with SQL (Oracle, SQL Server)

Key Responsibilities

  • Innovate, develop, and drive the development and communication of data strategy and roadmaps across the technology organization to support project portfolio and business strategy
  • Drive the development and communication of enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses
  • Drive digital innovation by leveraging innovative new technologies and approaches to renovate, extend, and transform the existing core data assets, including SQL-based, and Cloud-based data platforms
  • Define high-level migration plans to address the gaps between the current and future state, typically in sync with the budgeting or other capital planning processes Lead the analysis of the technology environment to detect critical deficiencies and recommend solutions for improvement
  • Promote the reuse of data assets, including the management of the data catalog for reference
  • Draft and review architectural diagrams, interface specifications and other design documents
  • Proactively and holistically perform activities that create deliverables to guide the direction, development, and delivery of technological responses to targeted business outcomes.
  • Provide facilitation, analysis, and design tasks required for the development of an enterprise's data and information architecture, focusing on data as an asset for the enterprise.