Senior Data Analyst at Gartner
Irving, TX 75039, USA -
Full Time


Start Date

Immediate

Expiry Date

05 Dec, 25

Salary

82000.0

Posted On

06 Sep, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

WHAT YOU’LL NEED:

  • 2 years of Team Leadership experience and history of supporting entry level associates.
  • 3 - 5 years of experience as Business Analyst/Data Analyst in an Analytics environment.
  • Advanced SQL skills and understanding of data analysis tools and techniques is required; Python skills a plus
  • Knowledge and experience with Scrum/Agile methodology
  • Expert level communication with both technical and non-technical personnel, both oral and written
  • Ability to breakdown complex business problems and workflows into meaningful components that are understandable by various levels
  • Well versed with in utilizing tools such MS Excel, MS Word, Google Suite, MS Visio, Lucid Chart, JIRA, Confluence
  • 4 yr. Degree in Computer Science, Engineering, or another quantitative field preferred.
Responsibilities

ABOUT THIS ROLE:

Gartner has exciting career opportunities for a Sr. Data Analyst within the Chief Data and Analytics Office. This role will provide support for our Master Data Management Scrum team with focus on data product design, solution assessment and execution support of large and small scale initiatives.

WHAT YOU’LL DO:

  • Serve as a liaison between data engineers, data stewards, product owners, and other IT teams to ensure seamless data integration and effective data product implementation across the business.
  • Collaborate across business and technical teams, both on site and offshore, to create business deliverables such as Data flow diagrams, Process maps Business Requirements, Technical Requirements, Functional Requirements, User Stories and User Acceptance Tests.
  • Interpret results using a variety of techniques, ranging from simple data aggregation to more complex statistical analysis and create accurate/timely impact analysis.
  • Identify, communicate, and assist with the efforts to resolve data gaps that impact the delivery of data products.
  • Gain domain knowledge in relevant business areas, data acquisition principles/sources, technical options/limitations, and communicate risks supporting data product delivery.
  • Ensure quality through adherence to and supporting processes and procedures, including the maintenance of documentation on shared file systems.
  • Evaluate proposed solutions to ensure alignment with business needs and functional requirements.
  • Assist test plan creation (Functional testing) and user acceptance testing to validate delivered solution meets business expectations.
  • Provide support to other business/data analysts, business process owners and project managers to help drive business initiatives.Manage a small team of other data analysts to drive business outcomes.
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