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 Senior 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.
  • Proactively identify new insights and recommendations and partner with growth stakeholders to implement solutions
  • Complete ad hoc analysis including:
    • Performance of keyword cohorts to identify targeting opportunities
    • Building/analyzing composite success measures for marketing campaigns
    • Applying growth marketing knowledge to analyze ad fatigue in our customer base
  • Monitor marketing trends to proactively identify worthwhile trends for media buyers

ABOUT YOU 🦄

• 5+ years of experience in data analytics or related roles.
  • 2+ years experience in marketing or growth analytics or similar experience with modern marketing tech (e.g. MMPs, Social / Digital platforms, SKAN) and digital marketing optimization.
• 2+ years of experience with BI Tools (Looker preferred, Tableau, PowerBI, Sigma, Omni, Databricks)
• You have a strong SQL background. You are comfortable spinning up a quick analysis or proof of concept data model.
• You have experience with product, CRM, or marketing experimentation design and measurement.
• You understand what is possible, and what the limitations are, of marketing measurement and attribution. You enjoy the challenge of balancing rigor with the realities of the business.
• You’re comfortable with applying standard marketing measures such as: LTV/NPV, CAC, Cost per Action, Retention metrics, ROAS, CTR, CPM, etc.
• Strong cross-functional communication skills and ability to influence stakeholders and business decisions

Bonus points if:

• You have experience with our stack (BigQuery, Singular, Looker, dbt, Amplitude, DeepNote, git)
• You’re familiar with Agile process/Sprint cycles
• You have experience in mobile app analytics
• You have a genuine interest marketing attribution and technology including keeping up-to-date with emerging trends in the marketplace

We encourage you to apply even if you don't meet all the criteria listed, especially the preferred qualifications. We want to hear from candidates who bring diverse perspectives and experiences, even if your background doesn't align perfectly with every requirement listed.

WE OFFER 💫

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

 

Additional information: Salary range of $140,000 - $180,000 + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time.  Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law.  The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws.

The information regarding compensation and other benefits included in this paragraph is the company’s current, good faith estimate at the time of posting. [Compensation and benefits are subject to modification from time to time as the Company, in its sole and exclusive discretion, deems appropriate.] The Company may determine during its future reviews of the proposed compensation and benefits provided for this position, that the compensation and benefits for such position should be reduced. In no event will the Company reduce the compensation for the position to a level below the applicable jurisdictional minimum wage rate for the position. Los Angeles County and San Francisco Candidates only: qualified applicants with arrest or conviction records will be considered for employment per the Fair Chance Ordinance and the Fair Chance Initiative for Hiring.