Senior Analytics Engineer

🕒 6 days ago

🌵 Arizona, California, +5 more states – Remote

🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🏛️ District of Columbia – Remote 🐊 Florida – Remote 🗽 New York – Remote 🚗 Michigan – Remote

💵 $150k - $190k / year

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 0%

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Rocket Money (formerly Truebill)

WebsiteLinkedInAll Job Openings

51 - 200 employees

💸 Finance

💳 Fintech

👥 B2C

Finance • Fintech • B2C

Rocket Money is a comprehensive personal finance management app designed to help users save more, spend less, and take control of their financial lives. The app offers features such as subscription management, spending insights, bill negotiation, net worth tracking, budgeting, and credit score monitoring. With its automated services, Rocket Money aims to simplify money management by finding and tracking subscriptions, helping to negotiate lower bills, and automating savings processes. Users can link all of their financial accounts in one place to get a full financial picture and set financial goals. The app also provides access to financial experts who can assist with personal finance queries.

📋 Description

• Design and build scalable dimensional models using dbt and BigQuery • Translate ambiguous business questions into dimensions, facts, and grain decisions • Balance normalization, performance, and usability, and document design decisions • Reduce technical debt in the dbt project through model layering, naming and testing standards, macro reuse, and incremental strategies • Define model correctness and implement data quality monitoring and checks • Improve alerting and triage processes to catch data issues proactively • Lead root-cause investigations into pipeline data discrepancies • Partner with Data Engineering and product engineering teams on upstream contracts and instrumentation quality • Support technical definitions of core business measurements and drive stakeholder alignment • Partner with Data Analysts and BI to enable self-service analysis • Translate business needs into technical requirements and prioritize work • Contribute through code review, design review, and documentation • Serve as a trusted builder, architect, and consultant for analytics data

🎯 Requirements

• 5+ years of experience in analytics engineering, data engineering, or related roles • Deep data modeling expertise, including dimensional models, grain, SCD types, and fact table design tradeoffs • Experience handling conforming dimensions, many-to-many relationships, late-arriving and restated data, and evolving source systems • Experience building testing and monitoring into data pipelines • Experience defining SLAs or expectations with data owners and managing on-call/triage processes • Production dbt experience, including model materialization strategies, testing, and macros • 2+ years of experience with BI tools; Looker preferred • Strong cross-functional communication and stakeholder influence skills • Strong problem decomposition and ability to align requests with a modeling roadmap and architecture • Finance or financial services data experience is a bonus • Experience with BigQuery, dbt Cloud, Looker, Amplitude, or DeepNote is a bonus • Experience with data governance, lineage, or catalog tooling is a bonus • Familiarity with Agile processes and sprint cycles is a bonus • Mobile app or product analytics experience is a bonus

🏖️ Benefits

• Health, Dental & Vision Plans • Life Insurance • Long/Short Term Disability • Competitive Pay • 401k Matching • Team Member Stock Purchasing Program (TMSPP) • Learning & Development Opportunities • Tuition Reimbursement • Unlimited PTO • Daily Lunch, Snacks & Coffee (in-office only) • Commuter benefits (in-office only) • Bonus compensation

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