Rocket Money · 1 day ago

Senior Analytics Enginer

United States

Full-time

Remote

Senior Level

$150K/yr - $170K/yr

6+ years exp

Maximize your interview chances

AppsArtificial Intelligence (AI)

Insider Connection @Rocket Money

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Own the end-to-end process of designing, building, and maintaining data models that drive business insights and decision-making. You’ll work closely with stakeholders to ensure data is transformed into meaningful and actionable information.

Define best practices for and efficiently source new data from a variety of sources, both internal and external.

Work within the organization to prioritize automation over manual solutions.

Enhance our analytics capabilities by continuously improving data models for maintainability, performance and scalability, while ensuring they remain aligned with business goals.

Work within interdisciplinary teams to help deliver product features, enable product analytics and experimentation through accurate and timely data modeling of customer data, and enable efficient product operations.

Deeply understand how data is generated through effective work with engineering teams. Make sure that the changes we make in our product are properly reflected in data models.

Confidently juggle multiple projects and priorities in our fast paced environment and work with stakeholders and analytics engineering teammates to ensure deadlines and commitments are met.

Expertly communicate with multiple stakeholders on updates to requirements, deadlines and status of work.

Become an expert in multiple areas of our business and understand the logic well enough to maintain and enhance our current testing suite.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

SQLDBTData WarehousingData ModelingAutomated TestingPythonBigQueryGCPFivetranLookerModeTerraformAWSCI/CDAnalytics Tools

Required

6+ years of working in the analytics stack within a fast paced environment and are familiar with the growing set of analytics tooling solutions.

Very comfortable working in SQL.

4+ years of production experience with SQL templating engines, like DBT, (particularly CI/CD) and data warehouses, third party ingestion providers and BI tools.

2+ years of experience working in a data engineering or software engineering capacity where you had to create/maintain custom data pipelines.

A passion for automating things to take people out of the loop, whether that be via prior data engineering or software engineering experience.

Obsessively detail oriented and organized.

An irresistible urge to understand the complexities of the data you’re working with.

Ability to break down a complex problem into specific tasks and create a plan for how to tackle those tasks.

Extensive experience with automated testing and test driven development.

Strong written communicator.

Experience partnering with analytics teams, business stakeholders, and engineers to deliver analytics solutions to business problems.

Confidence in your ability to speak with both technical and non-technical teams.

Enjoyment in working with engineers to define data models that enable both efficient operation of applications and capture the data necessary to enable analytics and data science use cases.