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Senior Manager, Analytics Engineering

Apartment List

Data Science

United States · Remote

USD 155k-220k / year + Equity

Posted on Sep 6, 2025

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Senior Manager, Analytics Engineering

Remote within the US

Data and Insights

Remote

Full-time

At Apartment List, we’re on a mission to find every renter a home they love at the value they deserve. Finding the right place to live is one of the most important, time-consuming and expensive decisions that all of us make. Getting it right matters. We’ve helped millions of people find a home they love, and we’re just getting started.

Role Summary

We’re looking for a Senior Manager, Analytics Engineering to join our Data Strategy & Product Analytics team. Reporting to the Director of Data Strategy and Product Analytics, you will lead a team of analytics engineers responsible for designing and building the company’s trusted data foundations.

Your team will own the analytics data architecture that powers reporting, dashboards, and insights across the business. You’ll ensure data is modeled, documented, and delivered efficiently and accurately—enabling decision-making at every level of the company. This role is highly cross-functional: you’ll collaborate with stakeholders across Product, Finance, Marketing, Data Science, and GTM. to define requirements, prioritize data needs, and set the roadmap for analytics engineering at Apartment List.

Here’s what you’ll do as part of the team:

Own the design and evolution of our analytics data architecture, ensuring reliability, scalability, and performance.
Manage and prioritize the analytics engineering roadmap, balancing business needs with foundational technical work
Lead, mentor, and grow a team of analytics engineers, fostering technical excellence and career development
Lead the response to high-pressure, revenue-impacting data incidents by coordinating cross-functional teams, mitigating risk quickly, and driving long-term solutions to prevent recurrence
Partner with stakeholders across all areas of the business to understand reporting and data needs, translating them into technical requirements, including Product, Finance, Marketing, Data Science, and GTM.
Enable AI product development by transforming relational data into graph-based structures (nodes, edges, properties), making advanced queries such as pathfinding, relationship mapping, and recommendations more intuitive and efficient.
Champion and design practices around data governance, documentation, testing, reliability and quality standards across datasets and reporting tools
Oversee and optimize BI and analytics tooling, enabling self-serve reporting and consistent, trusted metrics
Partner with Engineering to evolve our data platform and ensure pipelines are efficient, maintainable, and cost-optimized.
Own the design and ongoing evolution of frontend event data strategy, ensuring robust instrumentation, consistent standards, and seamless integration with downstream systems in partnership with Engineering.

Here are the skills and experience you’ll need to be successful:

6+ years in data or analytics engineering, 3+ years in a leadership or management role
Strong technical expertise in SQL, dbt, and modern data modeling practices
Expert proficiency with ETL/ELT frameworks and tools: e.g. Airflow, Fivetran
Experience designing and maintaining analytics data pipelines, testing best practices, and architecture in cloud-based data warehouses (e.g., Snowflake, Redshift, BigQuery)
Hands-on experience with BI tooling (e.g., Looker, Tableau, or equivalent), including managing semantic layers, dashboards, and governance
Cross-functional collaboration and stakeholder management, able to balance competing priorities and communicate clearly across technical and business teams
Track record of delivering scalable, high-quality data solutions in a fast-paced environment
Strong people management experience, including setting goals, driving accountability, and developing talent
Bonus:
- You’ve led data roadmap planning and can balance business requests with foundational infrastructure investments
- Experience with graph data modeling, including designing node, edge, and property schemas from relational or tabular data.
- Experience with Python or another object-oriented programming language
- Strong LookML experience
- Experience with frontend eventing and sessionization

And here’s what’s in it for you:

An exceptional team: You’ll join a high-performing, mission-driven group that holds itself to unapologetically high standards while embracing collaboration and learning
A chance to grow: In this role, you’ll sharpen your leadership skills while shaping the future of our data ecosystem—gaining experience at the intersection of engineering, analytics, and business strategy.
A mission that matters: You’ll help make renting easier and more human for millions of people

Here's the Pay Range:

At Apartment List, we carefully consider a variety of factors to determine compensation for each position, including the role, level, and work. The US base salary range for this position is:

Zone 1: $182,000 - $220,000 TTC (including $160,000 - $193,000 base salary) + equity
Zone 2: $168,000 - $203,000 TTC (including $148,000 - $179,000 base salary) + equity
Zone 3: $155,000 - $187,000 TTC (including $135,000 - $164,000 base salary) + equity

This reflects the compensation target for new hire salaries for the position across all US locations. Please note, the compensation details provided do not include benefits and perks that we offer.

We also rely on market indicators along with considering your work location, job related skills, experience and relevant education and training, to determine compensation that is fair and competitive for you. Apartment List will consider paying compensation near the higher of the range in exceptional circumstances, where candidates have the experience, credentials or expertise that would warrant such consideration. It is always our goal to hire exceptional talent and we would be happy to share more about compensation during the hiring process.

Here's what's in it for you (full-time US based employees only; does not apply to contract roles):

Competitive Compensation: Including annual salary, pre-IPO stock options, and other financial compensation (if applicable)

Medical, Dental, and Vision Coverage: 100% of premiums covered for you AND all of your dependents
Unlimited Flexible Time Off: Unlimited FTO in addition to 12 company holidays per year, quarterly “recharge” days, and a week-long holiday break
Home Office Reimbursement: To cover home office furniture and supplies, monthly home internet, and monthly cell phone (if applicable)
Health & Wellness Reimbursement: To cover monthly gym membership or other qualifying expenses
Parental Support: Generous parental and family leave, fertility benefits, and employer-sponsored stipends towards family forming services
401k Plan: To support you in your individual retirement goals
Team Events: Frequent team-building events, fun team off-sites, and bi-annual company meetups
Commitment to DEI: To prioritize Diversity, Equity, and Inclusion within our workplace and to stay true to our values and mission
Mentorship and Training: To get you onboard quickly, learn new professional skills, and invest in your career development
Impact and Visibility: To expose you to and provide the opportunity to work on highly strategic initiatives that will transform the business
Encouragement and Empowerment: To explore and adopt new technologies and drive meaningful decisions and outcomes
At Apartment List we believe that everyone deserves a home they love AND a career they love. We strive to build a diverse team that is a reflection of the people we serve; this is made possible through our commitment to fostering a culture of diversity, inclusion, equity, and connectedness.

As a proud equal opportunity employer, we celebrate the collection of individual differences, life experiences, ideas, perspectives, knowledge, and talent. We hire candidates of any race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, Veteran status, and any other status.

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Are you legally authorized to work in the United States? *

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Will you now or in the future require sponsorship for an employment-authorizing status or visa? *

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within 50 miles of San Francisco, Seattle, or New York City

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Do you have 6+ years of experience in data/analytics engineering? *

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Do you have at least 3 years of experience managing direct reports? *

Yes

Do you have expert proficiency with ETL/ELT tools and frameworks (eg dbt, Airflow, Fivetran)? *

Yes

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Req ID: R433

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