This position is fully remote
This role is an Individual Contributor position
A day in the life as a Senior Data Analyst, Growth Program Insights…
Lead analysis of customer segments, digital behaviors, and web/app conversion funnels to identify opportunities for personalization and premium experiences
Deliver strategic recommendations to optimize digital touchpoints and address drop-offs and optimization opportunities
Utilize tools like Adobe Analytics or Google Analytics for deep-dive investigations
Design and execute A/B tests and experiments, applying statistical methods to rigorously measure impact, ROI, and lift
Define success metrics and track impact across key business outcomes, including engagement, conversion, retention, and Customer Lifetime Value
Own the end-to-end analytics lifecycle, including structuring ambiguous problems and translating complex findings into executive-ready insights
Collaborate with product, marketing, CRM, and digital teams to influence strategic roadmaps and execution
Maintain technical proficiency by writing advanced SQL queries and utilizing Python or R for deep analysis
Partner with data engineering teams to ensure data quality and integrity
What you’ll bring to the table…
Advanced SQL proficiency for complex data querying, transformation, and optimization
Experience in using Adobe Analytics or Google Analytics to analyze user digital journey
Expertise in data visualization tools (Tableau, Power BI, Looker) for developing dashboards and communicating insights
Strong knowledge of statistical analysis methods, including hypothesis testing, regression analysis, and experimental design
Experience in analyzing large customer datasets and identifying meaningful patterns
Proficiency with Python or R for data mining, feature engineering, or statistical modeling
Strong data storytelling and communication skills with the ability to translate complex insights into clear business recommendations
Ability to connect analytical findings to business performance and strategic decisions
We’d love to hear from you if you have…
5+ years of experience in a hands-on data analyst or growth analytics role
Bachelor’s degree in Data Science, Information Systems, Mathematics, Statistics, Business Analytics, or a related quantitative field (or equivalent practical experience).
Proven experience delivering complex data analysis projects in an agile or collaborative environment
Strong proficiency in Python or R for advanced data analysis and modeling
Experience working with large-scale customer, transactional, or behavioral datasets