Data Engineer, People Analytics

About the Role:

The Data Engineer role is a technical developer and individual contributor of the People Analytics Data Engineering team responsible for the development of data warehouse modeling, data pipelines, and related analytics specific to People or workforce analytics in cloud data platforms.

What you'll do:

• Responsible for ETL/ ELT data pipeline development within industry cloud tools, data warehousing, and modeling explicitly for analytics and working collaboratively within a team of technical developers via Agile development methodologies.

• Regular development and production ready releases are expected focusing on data models, data structures and supporting pipelines to enable the analysis and analytics of broader People Analytics in order to provide actionable insights to increase Gartner's growth or attract and retain key talent.

• Engaging with both technical and non-technical stakeholders and team members to define and develop analytical solutions to drive the growth of the business or better attract and retain talent.

What you'll need:

• Bachelor's or Masters degree: Computer Science, Computer Engineering, Engineering, Management Science, or Data Science or equivalent technical field

• 2+ years of post-university working experience in data engineering.

• Intermediate to expert programming skills in both Python and SQL languages.

• Proven ability to use data, analytics, and business knowledge to solve complex business problems.

• Strong communication skills and ability to define requirements for data analytics solutions, business intelligence, or analytical consulting preferably in the Human Resources, Talent Analytics or People domain related datasets.

• Experience with ETL / ELT pipeline development and tools within cloud environments (e.g. Azure, Databricks).

• Familiarity or working knowledge of common data visualization or business intelligence tools and ability to model data best for use within them (e.g. PowerBI, Tableau, Visier, etc.)

Preferred Experience / Skills:

• Data warehousing and modeling experience using industry standard dimensional modeling techniques.

• Familiarity or experience with statistical machine learning libraries and development via Python or R languages.

#LI-ML3

Who are we?

At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.

Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities.

Since our founding in 1979, we've grown to more than 20,000 associates globally who support ~15,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That's why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.

What makes Gartner a great place to work?

Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance.

We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.

Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.

We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.

What do we offer?

Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers.

In our hybrid work environment, we provide the flexibility and support for you to thrive - working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.

Ready to grow your career with Gartner? Join us.

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