採用
Benefits & Perks
•Remote Work
•Equity
•Remote Work
•Equity
Required Skills
SQL
Python
Tableau
Statistical Analysis
A/B Testing
Data Analysis
Excel
Storytelling
About the team
The Tech Talent Development team creates learning experiences that build clarity, capability, and confidence across Product, Engineering, Marketing, and Design (PEMD). As we grow programs in onboarding, AI enablement, and leadership development, we're seeking a partner who can measure what truly matters-how learning translates into behavior change and business impact.
In this role, you'll evaluate whether our learning experiences drive the desired outcomes, identify areas for improvement, and guide data-informed decisions. You'll define key learning metrics, analyze behavioral and performance data, and translate insights into action-helping leaders understand what's working, what isn't, and where to invest to maximize growth and performance.
About the role
- What You'll Do
- Partner with the Tech Talent Development team to define what and how we measure the impact across onboarding, manager development, and AI enablement initiatives
- Collaborate with our People Analytics team to align on metrics, share insights, and tell cohesive data stories
- Work with technical leaders to measure productivity, quality, and operational outcomes that reflect enablement and business impact.
- Partner with data engineers to enhance dashboards and reports that visualize workforce trends, especially around Enablement and AI adoption.
- Create and maintain data products that inform monthly and quarterly business reviews, ensuring leaders have clear, actionable insights.
- Build lightweight dashboards and scorecards to show adoption, engagement, and behavioral change over time
- Define and monitor key success metrics for priority programs (e.g. time-to-ramp, manager feedback quality, AI adoption)
- Triangulate signals from surveys, performance, attrition, and feedback loops to identify patterns and opportunities
- Translate insights into clear, actionable stories for program leads and org stakeholders
- Support quarterly reviews and calibration with clean data-driven insights that highlight program effectiveness
- Promote data-informed practices across PEMD, empowering leaders to coach, measure, and drive team performance.
This role has been categorized as a Remote position. "Remote" employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.
In addition to a competitive base salary and benefits, this position is also eligible for equity awards based on factors such as experience, performance and location.
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Who you are
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You're curious, data-savvy, and obsessed with asking: Did this actually make a difference?
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You spot patterns in messy data and turning them into clean, actionable insights
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You're leaning into technology, specifically AI, to think differently about how you operate, gather and interpret data, and make recommendations.
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You're a builder; curious, innovative, and eager to experiment and to test new ideas
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You manage projects end-to-end from framing the problem to delivering insights and driving adoption
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You collaborate seamlessly with technical leads, HRBPs, and People Analytics to connect learning to outcomes.
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You blend quantitative and qualitative approaches to uncover meaningful insights
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You creatively draw from diverse data sources-surveys, document metadata, meeting transcripts, and more-to tell a complete story.
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What You Bring
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3+ years experience designing/analyzing programs for measurable behavior change, including expertise in analytics, applied behavioral science, or people analytics
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Hands-on proficiency in SQL, Python, and visualization tools like Tableau
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Familiarity with statistical methods, including exploratory data analysis, descriptive and inferential statistics, and A/B testing frameworks
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Familiarity with Databricks is a plus
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Support experimentation and A/B testing where applicable-particularly for new onboarding formats or AI adoption programs
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Translate learning goals into measurable hypotheses, and partner with program leads to embed data collection into program design
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Proficiency in tools like Excel/Sheets and survey platforms (e.g., Qualtrics)
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Proficiency leveraging AI to guide analysis
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Strong storytelling skills-you can distill data into clear takeaways and recommendations
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Familiarity with learning effectiveness frameworks is a plus, but not required
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Ability to balance detail with speed-delivering insights that are "good enough to take action" vs. waiting for perfection
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A collaborative, low-ego mindset and a high bar for quality
Get to know us
At Zillow, we're reimagining how people move-through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help customers navigate buying, selling, financing and renting with greater ease and confidence. Whether you're working in tech, sales, operations, or design, you'll be part of a company that's reshaping an industry and helping more people make home a reality.
Zillow is honored to be recognized among the best workplaces in the country. Zillow was named one of FORTUNE 100 Best Companies to Work For® in 2025, and included on the PEOPLE Companies That Care® 2025 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow.
No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry-and your career-forward, together.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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About Zillow

Zillow
PublicZillow is an online marketplace for real estate that provides property listings, home value estimates, and real estate services. The company operates digital platforms connecting buyers, sellers, renters, and real estate professionals.
1,001-5,000
Employees
Seattle
Headquarters
Reviews
3.7
3 reviews
Work Life Balance
3.0
Compensation
3.5
Culture
2.0
Career
3.5
Management
2.0
35%
Recommend to a Friend
Pros
Competitive compensation packages
Good internship program with known team assignments
Strong intern conversion rates
Cons
Poor recruiting experience and unprofessional behavior
Job listings remain unfilled for extended periods
Recruiters waste candidates' time
Salary Ranges
0 data points
Junior/L3
L3
L4
L5
L6
Mid/L4
Senior/L5
Staff/L6
Junior/L3 · Data Scientist P2
0 reports
$132,639
total / year
Base
-
Stock
-
Bonus
-
$112,743
$152,535
Interview Experience
5 interviews
Difficulty
3.2
/ 5
Duration
14-28 weeks
Offer Rate
40%
Experience
Positive 40%
Neutral 40%
Negative 20%
Interview Process
1
Technical Screen
2
HireVue Interview
3
Phone Interview
4
Onsite Interview
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