Decision Scientist, Product Analytics

This position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States.

What you will be doing:

• Develop and maintain analyses, reports and dashboards to track key metrics and performance trends for your product area

• Design, execute, analyze and evangelize A/B tests with statistical integrity that have clear learning agendas, evaluation criteria and guardrails

• Increase time-to-insight by automating repeatable workflows, analyses and processes and enabling self service analytics by creating reusable data and reporting assets

• Own analytics requests and independent projects end-to-end under guidance from your manager and ensure ongoing communication of and alignment with the priorities of your product area

• Inform prioritization, roadmap development and OKRs by working with PMs to evaluate benefits, risks and measurement of opportunities and initiatives

• Drive a culture of measurement by applying frameworks to assess impact of product features and working with engineers and PMs to build, implement and QA digital tracking events

• Conduct deep dives as needed on product features, flows, funnels and user journeys to surface actionable recommendations and testable hypotheses

• Partner with UX Research on learning agendas to generate holistic product insights that connect product usage behaviors with rich user insights

• Be active in our analytics hub-and-spoke community by participating in cross-functional projects

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

What we are looking for:

• 3+ years of experience in an analytical function

• Bachelor’s degree in Analytics, Statistics, Economics or related field required

• Experience working with:

  • Data analysis tools (e.g., Databricks, SQL, Python/R, Spark, Hive, Airflow, Git/GitHub etc.)

  • BI & other analytics tools (e.g., Looker/LookML, GA, Amplitude, etc.)

  • Data pipelines and ETL/ELT processes

• Proficiency in applied statistical analysis methods, experimental design, and hypothesis testing

• Extensive experience collecting, delivering and analyzing large, multi‐dimensional data sets

• Excellent communication skills, including development of data summaries, visualizations and other storytelling methods

• Prior work with API product teams is a big plus.

Here are some of the traits that we seek in great decision scientists:

You…

• are proactive, collaborative and driven to deliver in a dynamic, fast-paced environment

• are comfortable continually asking questions of our data and business

• translate measurement outcomes into technical specifications and ambiguous business questions into structured data problems

• use solid business sense to tie analytical outputs to actionable recommendations

• are an intellectually curious, conceptual thinker who uses creative problem-solving skills to go beyond the symptoms of a problem and diagnose root causes

• analyze, visualize, communicate and automate complex learnings, distilling them into digestible form for a broad set of stakeholders

• have excellent interpersonal skills, collaborate across functional areas, manage stakeholder expectations, and support key initiatives from start to finish under guidance of your manager

• demonstrate empathy for stakeholders, functional partners, clients and users