Principal Analytics Lead

Ibotta is seeking a Principal Decision Scientist, Client Analytics to join our team and contribute to our mission to Make Every Purchase Rewarding. In this role, you will be an Individual Contributor leading and mentoring others by example through the delivery of best-in-class analytics solutions and actionable insights for our Clients (which include manufacturers, brands, retailers and third-party publishers). This is an opportunity to leverage your experience and talent to make an enormous impact on our rapidly growing Client relationships and revenue.

The ideal candidate will have a strong track record of bringing actionable insights and analytics solutions to external clients. You will be leveraging data to build out new and innovative analytical products and capabilities, proactively identifying and communicating data-driven insights, presenting these findings to technical and non-technical external clients and internal teams. In partnership with the Client Analytics and Revenue leadership teams, you will also be responsible for defining and executing on our Client Analytics roadmap.

This position is available in multiple locations:

Denver, Colorado - if you are in or willing to relocate to the Denver area, this is a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday).

Remote options are available for the following cities - Los Angeles, San Francisco, Dallas, Cleveland, St. Louis, Chicago, Minneapolis, Cincinnati, NYC, Newark/Jersey City, and Atlanta

If you’re not in the Denver metro area or the listed cities, relocation reimbursement to Denver is available.

What you will be doing:

• Provide proactive, high-impact analytics insights to help Ibotta's most important clients

• Work in partnership with high-value client account teams to optimize client success on Ibotta platforms

• In collaboration with internal partners and Client Analytics leadership, own Ibotta’s promotions and media measurement solutions by conceptualizing, designing, and providing external clients industry-leading and market-defensible methodologies that power Ibotta’s measurement solutions; partner cross-functionally to build scalable solutions

• Regularly communicate with external clients to understand their business and program goals (especially around incremental revenue), present analytical results, insights and recommendations, and help them determine how Ibotta can be best leveraged to achieve their goals

• Research industry trends and standards to stay abreast of new developments; position Ibotta as a thought leader by combining your expertise with our incredible data asset to strategically deliver favorable marketing outcomes for advertisers

• Drive internal projects forward through planning, executing, and completing projects within an agreed upon timeline

• Uncover inefficiencies and bring forward analytics solutions to scale the business and better leverage our high-potential data asset

• Mentor junior colleagues of the Client Analytics team

• Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere

What we are looking for:

• 10-15+ years in Decision Science roles of increasing responsibility & impact

• Bachelor’s degree in computer science/mathematics/statistics/data science required

• Extensive analytics domain experience in the CPG space

• Robust familiarity with industry-standard attribution and measurement models such as MMM and incrementality

• Expert-level decision science knowledge, skills, capabilities, etc.

• Significant experience creating a compelling client-facing story using data and insights

• Expert visual and verbal communicator; an experienced presenter to senior executive levels

• Independent, self-starter who can successfully manage one's own time and multitask

• Client-facing experience a requirement; consulting background a strong plus

• Advanced experience using modern data analysis and pipeline tools (Python, Databricks, Hive, Spark, Airflow, GitHub etc)

• Advanced experience with modern BI tools (Mode, Looker, Tableau, etc)

• Proven expertise using SQL to wrangle, clean, and query large datasets

• Expert knowledge of A/B testing best practices

• Willingness to travel up to 25% of the time for client meetings and engagements