Data Analyst, Growth

About The Company

Our client is a leading organization in the technology and data-driven services sector, committed to delivering innovative solutions that empower businesses to achieve sustainable growth. With a strong focus on leveraging data analytics and cutting-edge technology, the company has established a reputation for excellence, agility, and customer-centricity. Their diverse portfolio spans multiple industries, including SaaS, e-commerce, fintech, and digital marketing, enabling them to serve a broad spectrum of clients worldwide. The organization values innovation, collaboration, and continuous learning, fostering an environment where talented professionals can thrive and make a significant impact.

About The Role

We are seeking a highly skilled Staff Growth Data Analyst to join our dynamic Data organization. This pivotal role involves supporting our Marketing, Growth, and Product teams by providing deep insights into customer journeys, acquisition channels, and growth drivers. The ideal candidate will have extensive experience in growth analytics, marketing analytics, and experimentation, with a proven ability to translate complex data into actionable business strategies. You will collaborate closely with cross-functional teams to measure performance, optimize marketing campaigns, evaluate product-led growth initiatives, and develop scalable reporting frameworks. Your work will directly influence key business decisions, drive revenue growth, and enhance long-term customer value.

Qualifications

• 7+ years of experience in growth analytics, marketing analytics, product analytics, or related fields
• Proficiency supporting Marketing, Growth, Acquisition, Revenue, or Product teams in high-growth environments
• Deep hands-on experience with experimentation methodologies, including A/B testing, incrementality testing, and funnel experimentation
• Strong SQL skills with experience working on large, complex datasets in cloud environments like Snowflake
• Experience with BI tools such as Looker, Tableau, Power BI, or similar platforms
• Knowledge of attribution modeling, campaign measurement, UTM tracking, and marketing performance metrics (CAC, LTV, ROAS, retention, churn)
• Excellent communication skills with the ability to present insights clearly to technical and non-technical stakeholders
• Experience working cross-functionally with marketing, data engineering, product, engineering, and finance teams
• Preferred: Experience with marketing mix modeling, analytics platforms (Google Analytics, Amplitude, Mixpanel), and analytics engineering workflows (dbt, cloud data environments)
• Proficiency in Python or R for advanced analysis and modeling (preferred)
• Background in high-transaction-volume environments such as SaaS, e-commerce, fintech, or marketplaces (preferred)

Responsibilities

• Lead analytics initiatives across marketing acquisition, product-led growth, lifecycle growth, and channel performance, including paid, organic, partnership, affiliate, referral, and in-product channels
• Own analysis of the full growth funnel—acquisition, activation, onboarding, conversion, retention, monetization, and expansion—driving insights to optimize each stage
• Develop and refine attribution models, campaign measurement frameworks, and marketing efficiency metrics to evaluate sign-ups, revenue, CAC, ROAS, LTV, and payback periods
• Design, implement, and analyze experiments such as A/B tests, onboarding tests, landing page experiments, pricing tests, and in-product conversion tests
• Build dashboards, reporting frameworks, and analytical models that provide comprehensive visibility into campaign, channel, segment, cohort, and funnel performance
• Analyze customer journeys using campaign data, product usage metrics, conversion events, and lifecycle touchpoints to identify growth opportunities and improve tracking accuracy
• Support advanced analytical projects including LTV modeling, customer segmentation, propensity scoring, churn analysis, and upsell/cross-sell opportunities
• Collaborate with Data Engineering and Analytics Engineering teams to enhance data quality, instrumentation, and self-service reporting infrastructure
• Communicate insights, experiment results, trade-offs, and strategic recommendations effectively to stakeholders at all levels, including executive leadership

Benefits

• Competitive base salary ranging from $137,275 to $190,000 USD, commensurate with experience
• Opportunities for bonuses, commissions, and equity participation
• Comprehensive health, dental, and vision insurance plans
• Flexible hybrid or remote work arrangements to support work-life balance
• Generous paid time off and holidays
• Professional development programs and continuous learning opportunities
• Access to cutting-edge tools and technologies to support your work
• Collaborative and inclusive work environment that fosters innovation and growth

Equal Opportunity

Our client is an equal opportunity employer committed to fostering an inclusive environment for all employees. They value diversity and are dedicated to providing equal employment opportunities regardless of race, ethnicity, gender, age, religion, disability, sexual orientation, or any other protected characteristic. All qualified applicants will receive consideration for employment without regard to any such factors, and the organization encourages individuals from diverse backgrounds to apply.