ASSOCIATE DIRECTOR, DATA ENGINEERING – HYBRID WORK OPTIMIZATION

Description About this role.
Gartner's Hybrid Work Environment is a strategic competitive advantage.
Our goal is to get better, faster, stronger at delivering in the hybrid work environment.
The Associate Director, Data Engineering (Hybrid Work Optimization) role is a strategic partner within the People Analytics Data Engineering team responsible for engaging with team members and key stakeholders to design, model and lead development of pipelines and subsequent data structures for the explicit intent of delivering better analytics insights for the hybrid work optimization, future of work, and related workforce analytics.
We’re looking for someone with at least 6+ years of professional experience with 4 years specializing in analytics data engineering, data warehousing, dimensional modelling and ETL / ELT data pipelines within cloud or hybrid infrastructure environment.
What you’ll do.
Design and deliver the data infrastructure and solutions that enable us to identify and analyze the relationship between associate behaviors and business outcomes in a hybrid work environment.
Create the “always on” mechanisms to monitor and better understand those behaviors and related business outcomes Partner with Product Managers and internal partners to identify and execute on the highest impact actions that will drive meaningful improvement in the next year· Build the data infrastructure roadmap for continuous improvement of our hybrid work environment to drive our target outcomes Design and lead the building of complex data pipelines and dimensional models.
Engage with key stakeholders related to the People domain, Real Estate and related functions to translate business needs into tangible technical requirements, with an ever-present focus on increasing business growth, and attracting / retaining talent.
Elicit key metrics and calculations from stakeholders, along with necessary attributes which may describe, filter, or categorize these measures.
Translate these into requirements to develop scalable dimensional data models for yourself or other junior engineers to deliver within a broader data warehouse.
Update JIRA / agile boards with relevant tasks, statuses, and estimates to support team operations, leadership reporting, and continuous improvement initiatives.
What you'll need.
Strategic Problem Solving with Bias for Action 6+ years of experience in analytics, data engineering, visualization, business intelligence, or analytical consulting 4+ years of effectively managing or serving as primary contributor on data engineering or analytics development projects.
Proven ability to use data, analytics, and business knowledge to solve complex business problems related to hybrid work.
Successful track record of superior service delivery and change management in a global environment.
Ability to ask questions leading to firmer understanding of business processes and associated insights to be developed.
Excellent Communication and Collaboration.
Excellent communication skills with the ability to articulate complex topics at all levels of the organization Ability to effectively engage and influence a wide range of stakeholders and leaders in the design of solutions for critical business initiatives Technical Acumen Strong data modeling mindset with a focus on business impact, scalability and interoperability.
Proven experience translating business requirements into dimensional models within a scalable, broader data warehouse.
Experience in - Microsoft Azure, Azure Data Factory, Azure SQL database, Data Transformation, and ETL Expert SQL skills- ability to write or optimize efficient queries and DDL / DML with more advanced methodologies such as indexing, partitions, etc.
Strong experience or working knowledge of common data visualization or business intelligence tools (PowerBI, Tableau, Oracle BI, Visier, etc.) Experience in deployment processes following change controls.
Should be aware of CI/CD pipelines –Jenkins, DevOps etc.
Preferred qualifications.
Knowledge of scripting languages (Python or R) Knowledge of lake house or logical data warehousing and other cloud specific analytics storage platforms.
#LI-KR2 Who are we?   At Gartner, Inc.
(NYSE.
T), 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 , we’ve grown to more than associates globally who support ~ 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.
Gartner believes in fair and equitable pay.
A reasonable estimate of the base salary range for this role is USD - USD.
Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location.
In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan.
Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates.
We also offer market leading benefit programs including generous PTO, a 401k match up to $ per year, the opportunity to purchase company stock at a discount, and more.
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 affirmatively seek to advance the principles of equal employment opportunity.
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