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Staff Data Analyst, Growth

1 week, 4 days ago
United States
Full-time
Lead
Data Analyst
Data Science and Analytics
Amplitude dbt Google Ads Google Analytics Looker Mixpanel Power BI Python R Snowflake SQL Tableau
Apply Now
Engine.com

Engine.com

Engine.com offers top-notch engine maintenance services for various industries, ensuring peak performance and client satisfaction.

Machinery
1-10
View All Jobs 50

Description

  • Lead analytics across marketing acquisition, product-led growth, lifecycle growth, and channel performance across paid, organic, partnership, affiliate, referral, and in-product channels.
  • Own analysis of the full growth funnel, including acquisition, activation, onboarding, conversion, retention, monetization, expansion, and customer lifetime value.
  • Develop and improve attribution, campaign measurement, and marketing efficiency frameworks to measure sign-ups, revenue, CAC, ROAS, LTV, and payback.
  • Lead experimentation analytics across the growth funnel, including A/B tests, incrementality tests, onboarding experiments, landing page tests, lifecycle experiments, pricing tests, and in-product conversion tests.
  • Design and evaluate experiments end to end, including hypothesis development, metric selection, test sizing, statistical interpretation, readouts, and rollout recommendations.
  • Build dashboards, reporting frameworks, and analytical models that provide visibility into campaigns, channels, segments, cohorts, funnels, and experiments.
  • Analyze customer journeys using campaign data, UTM parameters, product usage data, conversion events, lifecycle touchpoints, and marketing schemas to improve tracking quality and uncover opportunities.
  • Develop or support advanced analyses such as LTV modeling, customer segmentation, propensity modeling, churn analysis, product-qualified lead scoring, and upsell/cross-sell analysis.
  • Partner with Data Engineering and Analytics Engineering to improve data quality, event instrumentation, data models, and self-service reporting infrastructure.
  • Communicate insights, tradeoffs, experiment results, and recommendations to Marketing, Growth, Product, Finance, and executive stakeholders.

Requirements

  • 7+ years of experience in growth analytics, marketing analytics, product analytics, business analytics, data science, or a related analytical role.
  • Experience supporting Marketing, Growth, Acquisition, Revenue, or Product teams in a high-growth business environment.
  • Experience with product-led growth motions, including self-serve funnels, activation, onboarding, free-to-paid conversion, product-qualified leads, retention, and expansion.
  • Deep hands-on experience with experimentation, including A/B testing, experiment design, statistical analysis, incrementality measurement, funnel experimentation, and business recommendations.
  • Hands-on experience with attribution modeling, campaign measurement, UTM tracking, and performance metrics such as CAC, LTV, ROAS, conversion rate, churn, retention, and payback period.
  • Strong SQL skills and experience working with large, complex datasets, ideally in Snowflake or a similar cloud data warehouse.
  • Experience with BI tools such as Looker, Tableau, Power BI, or similar platforms.
  • Strong business judgment, communication skills, and ability to connect analytical work to customer growth, revenue, margin, efficiency, retention, and long-term business performance.
  • Experience working cross-functionally with marketing, data, product, engineering, and finance teams.
  • Preferred: Experience with Marketing Mix Modeling / Media Mix Modeling.
  • Preferred: Experience with analytics and experimentation tools such as Google Analytics, Amplitude, Mixpanel, Optimizely, Statsig, Eppo, LaunchDarkly, Google Ads, or Meta Ads Manager.
  • Preferred: Experience with dbt, modern analytics engineering workflows, and cloud data environments.
  • Preferred: Experience with Python or R for advanced analysis, modeling, automation, experimentation analysis, or statistical work.
  • Preferred: Experience with customer segmentation, cohort analysis, LTV modeling, propensity modeling, churn modeling, causal inference, lift studies, or product-qualified lead scoring.
  • Preferred: Experience in a PLG, self-serve SaaS, marketplace, travel, fintech, e-commerce, or other high-transaction-volume growth environment.

Benefits

  • Competitive base pay of $137,275 to $190,000 USD.
  • Compensation may include equity and/or variable pay (OTE).
  • Opportunities for bonuses and commissions.
  • Hybrid-hub model with support for both office-based and fully remote work arrangements.
  • Access to the company’s full benefits package.
  • Benefits and perks may vary based on employment type and location.

Interested in this position?

Apply directly on the company website

Apply Now

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