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Sr Data Analyst; SQL, Chief Data Office

Remote / Online - Candidates ideally in
Fort Myers, Lee County, Florida, 33916, USA
Listing for: Gartner
Remote/Work from Home position
Listed on 2026-06-19
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Sr Data Analyst (SQL, Chief Data Office)

Sr Data Analyst (SQL, Chief Data Office)

Location:

United States, Florida, Fort Myers

Benefits: dental insurance, parental leave, tuition reimbursement, 401(k)

About this role:

  • Senior Data Analyst within the Chief Data and Analytics Office. Interpret and analyze complex datasets to provide insights and support data‑driven decision making to support product development of data domains and drive business initiatives. Support the Master Data Management team, focusing on developing insights from data and supporting requirements and execution of large‑ and small‑scale initiatives.

What you'll do:

  • Use statistical methods and techniques to identify patterns, trends, correlations, and anomalies, and extract meaningful insights to drive product requirements.
  • Interpret results using a variety of techniques, ranging from simple data aggregation to more complex statistical analysis, and create accurate and timely impact analysis.
  • Identify KPIs and develop metrics to track and measure product performance.
  • Identify, communicate, and assist with efforts to resolve data gaps that impact the delivery of data products.
  • Evaluate proposed technical solutions to ensure alignment with business needs and functional requirements.
  • Collaborate across business and technical teams to create technical requirements, functional requirements, user stories, and user acceptance tests.
  • Collaborate with QA teams in test plan creation and user acceptance testing to validate delivered solution meets business expectations.
  • Gain domain knowledge in relevant business areas, technical options/limitations, and data sources/processes.
  • Ensure quality through adherence to and support of processes and procedures, including maintenance of documentation on shared file systems.
  • Provide support to other data analysts, product owners, and project managers to help drive business initiatives.

What you'll need:

  • Bachelor’s degree in Computer Science, Engineering, or another quantitative field.
  • 5–7 years of experience as a Data Analyst in an analytics‑driven environment.
  • Advanced proficiency in SQL; understanding of data analysis tools and techniques;
    Python skills a plus.
  • Strong analytical and problem‑solving skills to interpret complex datasets and generate meaningful insights.
  • Self‑starter with the ability to work independently in a fast‑paced, complex environment; demonstrates initiative and ownership without the need for close supervision.
  • Excellent communication skills and ability to convey complex data findings to stakeholders.
  • Experience with Agile methodologies.
  • Well‑versed in utilizing tools such as MS Excel, MS PowerPoint, MS Visio/Lucid Chart, JIRA, and Confluence.

What you'll receive:

  • Competitive compensation.
  • Limitless growth and learning opportunities.
  • A collaborative and positive culture.
  • A chance to make an impact—your work will contribute directly to our strategy.
  • Flexibility to work from home and collaborate with peers in dynamic offices.
  • 20+ PTO days plus holidays and floating holidays in the first year.
  • Extensive medical, dental insurance, and vision plan.
  • 401(k) with corporate match and immediate vesting.
  • Health‑and‑wellness‑related allowance programs.
  • Parental leave.
  • Tuition reimbursement.
  • Employee Stock Purchase Plan.
  • Employee Assistance Program.
  • Gartner Gives Charity Match.

The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity.

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