Data Analyst, Rocket Money

• You have 2+ years of experience in technical marketing data roles. You have experience with modern marketing tech (e.g. MMPs, Social / Digital platforms, SKAN) and experience in the digital marketing space
• You have 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 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 can break down problems into tasks for yourself and make adjustments to priorities as necessary
• You’re comfortable with apply standard marketing measures such as: LTV/NPV, CAC, Cost per Action, Retention metrics, ROAS, CTR, CPM, etc

Desirable

• 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
• 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.
• 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
• Partner with the Growth team to translate business needs into data problems and prioritize work
• 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