ZipRecruiter

Log In

1

Full Stack Data Analyst Jobs in Cleveland, OH (NOW HIRING)

Signet Jewelers Ltd.

Full Stack Developer (Remote)

Akron, OH · On-site +1

$100K - $130K/yr

Collaborate with Business Analyst, Technical analysts and IT teams to develop solutions that meet ... Develop and document test cases, test data requirements and expected results * Migrate solutions ...

next page

Showing results 1-20

All JobsFull Stack Data Analyst JobsFull Stack Data Analyst Jobs in Cleveland, OH

Full Stack Data Analyst information

See Cleveland, OH salary details

$33K

$80.1K

$131.9K

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

As of Aug 10, 2026, the average yearly pay for full stack data analyst in Cleveland, OH is $80,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,600.00 and $94,100.00 per year, depending on experience, location, and employer.

What is a full stack data analyst?

A full stack data analyst is a professional who handles all aspects of data analysis, including data collection, cleaning, visualization, and reporting, often using tools like SQL, Python, or R. They possess skills across data management, analysis, and presentation, enabling them to work independently on end-to-end data projects.

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 are popular job titles related to Full Stack Data Analyst jobs in Cleveland, OH? For Full Stack Data Analyst jobs in Cleveland, OH, the most frequently searched job titles are:
What job categories do people searching Full Stack Data Analyst jobs in Cleveland, OH look for? The top searched job categories for Full Stack Data Analyst jobs in Cleveland, OH are:
What cities near Cleveland, OH are hiring for Full Stack Data Analyst jobs? Cities near Cleveland, OH with the most Full Stack Data Analyst job openings:
Full Stack Data Analyst jobs near you
Infographic showing various Full Stack Data Analyst job openings in Cleveland, OH as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $80,147 per year, or $38.5 per hour.

Full Stack Data Engineer

Cavaliers Holdings LLC

Cleveland, OH • On-site

$80K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 9 days ago

Job description

Cavaliers Holdings LLC is obsessed with delivering epic experiences for our team members, our fans, our community and the world. Fueled by an unapologetically bold, inclusive and high-impact culture, we strive to recruit individuals who are enthusiastic and purposeful in carrying out our vision as transformative leaders in sports and entertainment. If you are ready to bring your best to the dynamic, high-performance environment of the Cavs, Sirens, Monsters, Charge, RESN and Rocket Arena - where we come together to create moments that move, inspire, and uplift - then we want to hear from you.
JOB SUMMARY:
We're hiring a Full-Stack Data Engineer to join a small, high-trust team building the systems that fuel decisions across the organization. This is a two-sided role by design: you'll build and own the data pipelines that feed our warehouse and the applications and interfaces that put that data in the hands of business users. The systems you build won't stop at a table - they'll go all the way through to something a stakeholder actually uses. If you want to be a pure data engineer forever, this isn't the seat. We want engineers who move fluidly between pipeline work and application work because that's how our team ships end-to-end value.
ESSENTIAL DUTIES & RESPONSIBILITIES:
  • Design, build, and maintain production data pipelines feeding our Aurora PostgreSQL warehouse and downstream analytics
  • Own dbt models end-to-end: sources, staging, marts, tests, documentation
  • Improve pipeline reliability: monitoring, alerting, incident response, root-cause analysis
  • Build and maintain internal applications, APIs, and integrations that expose data to business teams in Ticketing, Marketing, Sales, and BIG (Business Intelligence Group)
  • Integrate with vendor systems and third-party APIs to move data in and out of the platform
  • Partner directly with business stakeholders and analysts to translate a business need into a shipped system
  • Choose the right solution (build, buy, configure, automate, or advise), not the most engineering-intensive one
  • Contribute to platform decisions: tooling, standards, architecture
  • Write change notices, code reviews, and documentation

REQUIRED QUALIFICATIONS:
  • 4-6 years of hands-on engineering experience in a production environment, spanning both data engineering and application/backend development
  • Strong dbt experience - you've built and maintained a real dbt project, not just run through a tutorial
  • Deep SQL fluency and comfort with structured/relational databases (PostgreSQL preferred; Snowflake, Redshift, BigQuery all translate)
  • Demonstrated experience designing and operating data pipelines (orchestration, dependencies, retries, observability)
  • Demonstrated experience building applications, APIs, or services that non-engineers actually use in production
  • Working proficiency with AI coding tools (Claude Code, Codex, Cursor, or equivalent) as part of your day-to-day engineering practice - you can speak to what you've built with them and where they break down
  • Python proficiency for pipeline logic, transformations, and glue code
  • Version control (Git), code review, and CI/CD hygiene
  • AWS experience (RDS/Aurora, Lambda, S3, IAM)
  • Experience with dbt-osmosis, dbt docs, or similar metadata tooling
  • Frontend/UI experience for internal tooling (any modern framework)
  • Exposure to sports, entertainment, ticketing, or CRM data models
  • Background integrating vendor APIs (Ticketmaster, Salesforce, Adobe, etc.)
  • Comfort with light DevOps (Terraform, GitHub Actions)

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.
Actual compensation will depend on your experience, education/credentials, skills, and how they fit our organizational needs. Rock Entertainment Group offers a robust perks package with healthcare, dental, vision, retirement, and more!

Apply