Decision Scientist, Product Analytics

2 months ago

Denver, Colorado, United States Ibotta Full time

Ibotta is seeking a Decision Scientist, Product Analytics to join our innovative team and contribute to our mission to Make Every Purchase Rewarding. Partnering with one or more cross-functional product teams, you will support product optimization and growth through discovery, opportunity sizing, measurement, reporting and analysis. Our decision scientists work across our full analytics stack (Databricks, Spark, Airflow, GitHub, Python, Looker, etc) from defining raw data to developing reporting data models and visualizations to performing analytical deep dives that drive decision making.



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

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