Decision Scientist, Strategic Partner and Marketing Analytics

Responsibilities

• Work directly with other Analytics team members as well as the Strategic Partner Development/ Business Development, Consumer Marketing, User Acquisition and our Communications marketing teams in analyzing customer behavior and trends to uncover key actionable insights about Ibotta users
• Analyzing performance trends to uncover key, actionable insights to enable our business to grow
• Collaborate with other teams from a wide variety of functions including Finance, Revenue/ Sales, Product Engineering, Machine Learning and other Analytics disciplines
• Provide thought leadership and insight on performance metrics, attribution methodologies and consumer statistics such as LTV:CAC and churn
• Run statistical analysis and create predictive models based on past user purchases and behavior
• Design, execute, and analyze controlled experiments to determine the impact of new approaches and performance of our tactics
• Produce concise and impactful presentations of data and insights to Marketing and company leadership, condensing complex topics and findings in a clear and concise fashion
• Represent the Marketing department on company wide data related task forces. Be vocal and represent our stakeholders needs as well as communicate back key learnings, findings or procedures
• Collaborate with business stakeholders to provide insightful reporting and dashboards along with automating workflows and self serve analytics solutions
• Automate workflows and data pipelines for to enable quicker insights

Requirements

• 3+ years of real world work experience in an analytical function. Experience with Marketing (Consumer or B2B), Retail/ CPG or a related industry preferred
• Bachelor’s degree in Analytics, Statistics, Economics or a related field required.
• Understanding of general business concepts. Experience with consumer marketing tactics and concepts (examples include Customer Long Term Value and lifecycle, User Acquisition and Retention) OR in the Retail/ CPG Industries preferred
• Technical experience and proficiency working with:
• Data analysis tools and languages (e.g., Databricks, SQL, Python/R, Pyspark, Spark, Git/GitHub, Excel/ Google Suite)
• BI & other visualization tools (e.g., Looker)
• Creating customer facing slide presentations conveying complex data in compelling, simple formats
• Marketing Specific or Web/App related analytical tools and such as Google Analytics, Mobile Measurement Platforms
• Data pipelines and ETL/ELT processes including data exploration, wrangling and cleaning/ preparation for analysis
• Working productively integrating AI into analytics workflows

Benefits

• This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks, and occasional meals.