Data Analyst, Growth

USA (Hybrid)

Salary Not AvailableSenior Level7+ years expFull time

Posted 1 month ago

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Job Summary

Own end-to-end growth analytics, translating multi-channel performance into actionable ROI decisions and fueling experiments that drive activation, retention, and long-term value.

  • Cross-channel analytics: own the growth funnel from acquisition through customer value and inform channel prioritization.
  • Measurement and attribution: build and refine frameworks to quantify ROI, CAC, LTV, and payback.

Job Description

  • Lead analytics across various growth channels including paid, organic, partnership, affiliate, referral, and in-product channels
  • Own comprehensive analysis of the entire growth funnel, from acquisition through long-term customer value
  • Develop and refine attribution models, campaign measurement frameworks, and marketing efficiency metrics to evaluate performance and ROI
  • Design, execute, and analyze experiments such as A/B tests, onboarding tests, pricing experiments, and feature rollouts to inform product and marketing strategies
  • Create dashboards, reports, and analytical models that provide visibility into campaign performance, funnel metrics, and experiment results
  • Analyze customer journeys using campaign data, product usage, conversion events, and lifecycle touchpoints to identify growth opportunities
  • Support advanced analyses including LTV modeling, segmentation, propensity scoring, churn analysis, and upsell/cross-sell opportunities
  • Collaborate with Data Engineering and Analytics Engineering teams to improve data quality, event tracking, and reporting infrastructure
  • Communicate insights, tradeoffs, and recommendations clearly to stakeholders across departments and executive leadership
  • 7+ years of experience in growth analytics, marketing analytics, product analytics, business analytics, or related fields
  • Proven experience supporting Marketing, Growth, Acquisition, Revenue, or Product teams in high-growth environments
  • Extensive hands-on experience with experimentation, including A/B testing, incrementality measurement, and funnel experimentation
  • Deep expertise in attribution modeling, campaign measurement, UTM tracking, and marketing performance metrics such as CAC, LTV, ROAS, retention, and payback period
  • Strong SQL skills with experience working on large, complex datasets, preferably in Snowflake or similar cloud data warehouses
  • Proficiency with BI tools such as Looker, Tableau, Power BI, or equivalent platforms
  • Excellent business judgment, communication skills, and ability to translate analytical insights into strategic recommendations
  • Experience working cross-functionally with marketing, data, product, engineering, and finance teams
  • Flexible work environment with hybrid and remote options
  • Generous paid time off and holidays
  • Professional development opportunities and continuous learning programs
  • Inclusive and collaborative workplace culture
  • Access to cutting-edge tools and technologies to support your work
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Switch off. Slow down. Sundayy is the mindfulness based social network designed to be checked just once a week. Sundayy represents spending time away from feeds, thinking deeper about our days, and sharing what matters with the people who matter.

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