GA

Associate Director, Data Engineer - Azure

Gartner

4 months ago

10+ years

Work From Office

Gurgaon, Haryana, Haryana, India

  • Engage with key stakeholders to help translate business needs into prioritized, technical requirements (user stories) for People Analytics Engineering team to deliver.
  • Catalog current analytics and automation processes and recommend best practice methods for improvement and optimization.
  • Research and recommend technologies and processes to support rapid scale and future state growth initiatives.
  • Sql

    Microsoft Azure

    Data visualization tools

    Business Intelligence

    Data Mining

    Data Modeling

    Data Warehousing

    Job description & requirements

    What you’ll do:


    Lead our People Analytics Engineering team.

    1. Engage with key stakeholders to help translate business needs into prioritized, technical requirements (user stories) for People Analytics Engineering team to deliver.
    2. Catalog current analytics and automation processes and recommend best practice methods for improvement and optimization.
    3. Partner with Head of People Analytics Engineering to create roadmaps and execute project plans in fast-paced agile development environment.
    4. Partner with the People Analytics Engineering team members to streamline data integration, maintain security and access best practices, and create end-to-end data analytics solutions.
    5. Initially manage and mentor a team of 2-3 associates supporting Gartner Analytics deliverables.
    6. Research and recommend technologies and processes to support rapid scale and future state growth initiatives.
    7. Prioritize Business Needs, Leadership Questions, and Ad Hoc Requests for on-time delivery.
    8. Manage team JIRA boards and Service Now queues to support team operations, leadership reporting, and continuous improvement initiatives.

    Support HR Analytics and Reporting Strategy

    1. Support the future state of People Analytics at Gartner, including the execution of our multi-year roadmap.
    2. Lead QA and Data Quality efforts to improve development timelines, reduce bugs, and maintain reliable analytics products.
    3. Support projects that improve our performance (e.g. Quality of Hire & Future of Work): aligning with product strategy and understanding stakeholder requirements.


    What you’ll need:

    1. Strong analytics, automation, and data experience
    2. 8+ years of working experience.
    3. Preferably working in HR analytics, data engineering, data analytics and visualization, business intelligence, or analytical consulting
    4. Experience and skill with data mining methods, data modeling, and working with data warehouses
    5. Proven ability to use data, analytics, and business knowledge to solve complex business problems.
    6. Strong experience developing in analytics platforms / visualization tools (PowerBI, etc.), Visier experience a plus
    7. Proven experience designing analytics and delivery methods to increase accuracy of reporting in an agile environment.
    8. Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries.
    9. Preferred experience with Microsoft Azure, Azure Data Factory, Data Pipelining, Databricks, Data Transformation, and ETL or similar cloud engineering toolsets.
    10. Strategic thinker
    11. Future forward visionary who can not only see where we need to be in 3 years, but who can also develop a compelling, practical approach to how we get there starting tomorrow
    12. Ability to tell stories with data to senior leadership highlighting team dynamics, celebrating successes, and identifying opportunities for improvement
    13. Collaboration and people leadership
    14. 4+ years of effectively managing a team of Engineers, Consultants, or Analysts
    15. Ability to effectively engage and influence wide range of leaders (from the Operating Committee to Sales Managers) in the development of solutions for Gartner’s most critical business initiatives
    16. Ability to translate strategic vision into actionable plans and make decisions with incomplete or imperfect information
    17. Excellent verbal/written communication skills and effective presentation skills
    18. Execution focus
    19. Experienced getting to a v0.5 solution, getting real world feedback, and then iterating to v1.0+ with a continuous improvement mindset
    20. Successful track record of superior service delivery and change management in a global environment


    Experience :

    10+ years

    Job Domain/Function :

    Data Engineering

    Job Type :

    Work From Office

    Employment Type :

    Full Time

    Number Of Position(s) :

    1

    Educational Qualifications :

    Bachelor's Degree

    Location :

    Gurgaon, Haryana, India, Gurgaon, Haryana, India

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