Senior Decision Scientist

Ibotta-posted 2 days ago
$97,000 - $114,620/Yr
Full-time • Mid Level
Hybrid • Denver, CO
501-1,000 employees
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Ibotta is seeking a Senior 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.

  • Inform prioritization, roadmap development and OKRs by working with Product Managers (PMs) to evaluate benefits, risks and measurement of opportunities and initiatives
  • Drive a culture of measurement by defining frameworks to assess impact of product features and working with engineers and PMs to build, implement and QA digital tracking events
  • Proactively conduct deep dives 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
  • Develop and maintain analyses, reports and dashboards to track key metrics and performance trends for your product area
  • Design, execute, analyze and evangelize experiments 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 large, complex analytics projects end-to-end, onboard and mentor team members and ensure ongoing communication of and alignment with the priorities of your product area
  • Contribute to our analytics community by leading or heavily participating in cross-functional projects
  • Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency, & A great idea can come from anywhere
  • 5+ years of experience in an analytical function
  • Bachelor’s degree in Analytics, Statistics, Economics or related field required; Advanced degree preferred
  • In-Depth 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
  • Advanced abilities in applied statistical methods, experimental design and hypothesis testing
  • Extensive experience collecting, delivering and analyzing large, multi‐dimensional data sets
  • Experience initiating, scoping and leading large-scale analytics projects end-to-end
  • Analytics experience working with digital products in e-commerce or SaaS preferred
  • You… are proactive, collaborative and driven to deliver in a dynamic, fast-paced environment
  • recognize patterns across projects that accelerate time-to-value answering stakeholder requests
  • use strong 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 senior stakeholders and executives
  • have excellent interpersonal skills, collaborate across functional areas, manage stakeholder expectations, and drive high visibility projects end-to-end with minimal guidance/oversight
  • demonstrate empathy for stakeholders, functional partners, clients and users
  • competitive pay
  • flexible time off
  • benefits package (including medical, dental, vision)
  • Employee Stock Purchase Program
  • 401k match
  • paid parking
  • snacks
  • occasional meals
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