Data Analyst
US$120,000 – US$160,000 / yr base salary
Posted 5 Jun 2026
Advertised as “Data Analyst, Growth Marketing”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 4+ yrs
- Management level
- Individual contributor
- Employment
- Remote
| Base salary | US$120,000 – US$160,000 / yr |
|---|
ABOUT ROCKET MONEY 🔮
Rocket Money’s mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.
ABOUT THE TEAM 🤝
The Rocket Money Data Analytics team is comprised of data analysts who are passionate about using data to drive business decisions and improve user experiences. Analysts work within a semi-embedded organizational structure to independently build data analytics tooling, drive strategy with data, and assess experiments within cross-functional product vertical aligned teams. Analysts also work closely with other members of the analytics engineering and data science teams to further our product delivery, operations, finance, and marketing goals.
We’re seeking a Data Analyst to join our growing team and play a critical role in shaping our analytics strategy. In this role, you’ll work closely with our Growth Marketing team to drive data-informed decision-making across the organization. You’ll leverage a full suite of analytical tools to measure performance across online channels, enhance our modern martech infrastructure, and develop scalable frameworks and tooling. Your work will be instrumental in evaluating and optimizing marketing investments against core business metrics, including ROAS, LTV, and conversion rates.
IN THIS ROLE, YOU'LL 🤹
Be a trusted advisor on our marketing data. You will understand the intricacies of our ad platforms, MMP (we use Singular), and various third parties to produce a cohesive and actionable view. Including:
- Build and improve analytics reporting and processes (we use Looker)
- Work with stakeholders to scope analytical questions and determine appropriate KPIs/metrics
- Determine optimal data visualization methods for decision making
- Reduce technical debt, implement new parameters, and update LookML to align with best practices
- Collaborate with Data Engineering/Analytics Engineering on data mart and model requirements
- Identify automation and process improvement opportunities in BI
- Analyze marketing experiments
- Includes ad hoc analysis of ad platform testing
- Work with our CRM team to analyze campaigns and global program holdouts
- Partner with the Growth team to translate business needs into data problems and prioritize work.