[Hiring] Senior Analytics Engineer @Rocket Money

Role Description

We're looking for a Senior Analytics Engineer to help shape that architecture as it grows. You'll build and iterate on our star schema, surfacing models that Data Analysts and stakeholders across the business can self-serve against with confidence. Done well, this work raises the data literacy of the entire company — and we take that seriously.

In this role, you'll:

• Be a trusted builder, architect, and consultant on the analytics data we surface to our stakeholders.
• Learn the intricacies of our source data, how we transform it, how we monitor for integrity, and continue to move the needle on the partnership needed to maximize value for the business.
• Design and build dimensional models that scale (we use dbt + BigQuery).
• Translate ambiguous business questions into dimensions, facts, and grain decisions that hold up as the business changes.
• Make tradeoffs between normalization, performance, and usability, and document the reasoning behind them.
• Reduce technical debt in the dbt project: model layering, naming and testing standards, macro reuse, and incremental strategy.
• Own data quality and monitoring for the models you build.
• Define what "correct" means for each model and instrument data quality checks to monitor it.
• Build and improve the alerting and triage process so data issues are caught proactively.
• Lead root-cause investigations on data discrepancies across the pipeline, from source event or system of record through to the analytics layer.
• Partner with Data Engineering and product engineering teams on upstream contracts and instrumentation quality.
• Be the connective tissue between source data and business definitions.
• Support technical definition of core business measurement and drive alignment when stakeholders disagree.
• Partner with Data Analysts and BI to ensure models enable stakeholder self-service analysis.
• Translate business needs into technical requirements and prioritize work against them.
• Raise the bar on the team through code review, design review, and documentation.

Qualifications

• 5+ years of experience in analytics engineering, data engineering, or related roles.
• Deep data modeling expertise.
• Experience designing dimensional models from scratch and integrating them into a cohesive analytics architecture.
• Ability to handle complex modeling scenarios, such as conforming dimensions across business use cases.
• Experience treating data quality as a design problem, not a cleanup task.
• Production dbt experience.
• 2+ years of experience with BI tools (Looker preferred).
• Strong cross-functional communication skills and the ability to influence stakeholder & business decisions.
• Strong problem decomposition skills.

Requirements

• Experience with finance or financial services data (transactions, subscriptions, revenue recognition, ledgers, or reconciliation against a system of record).
• Experience with our stack (BigQuery, dbt Cloud, Looker, Amplitude, DeepNote).
• Experience with data governance, lineage, or catalog tooling.
• Familiarity with Agile process & sprint cycles.
• Experience in mobile app or product analytics.

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).