Analytics Engineer

January 23

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Logo of Rocket Money (formerly Truebill)

Rocket Money (formerly Truebill)

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.

πŸ“‹ Description

β€’ Analytics Engineers help the company understand users and products through data. β€’ Build data models that uncover customer interactions and insights. β€’ Collaborate with product and engineering teams to model data efficiently. β€’ Iterate and improve processes and best practices in analytics.

🎯 Requirements

β€’ 4+ years of working in the analytics stack within a fast paced environment. β€’ 3+ years of production experience with SQL templating engines, like DBT, and data warehouses. β€’ Experience exposing data models to end consumers in BI Tools. β€’ Detail oriented and organized. β€’ Strong desire to understand complex data problems. β€’ Ability to break down complex problems into tasks and initiate projects. β€’ Extensive experience with automated testing and test driven development. β€’ Strong written communication skills. β€’ Experience partnering with analytics teams, business stakeholders, and engineers.

πŸ–οΈ Benefits

β€’ Health, Dental & Vision Plans β€’ Competitive Pay β€’ 401k Matching β€’ Unlimited PTO β€’ Lunch daily (in-office only) β€’ Snacks & Coffee (in-office only) β€’ Commuter benefits (in-office only)

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December 28, 2024

Join Pattern Data as an Analytics Developer, improving AI-driven claims processing and operational efficiencies.

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