Senior Decision Scientist – Core Data & Analytics, Ibotta

Senior Decision Scientist - Core Data & Analytics, Ibotta

Company Ibotta
Job title Senior Decision Scientist, Core Data & Analytics
Job location Denver, Colorado, US
Type Full Time

Responsibilities:

  • Identify, validate, document, and UAT event-based data for business use across the organization
  • Build and maintain business critical metrics and dashboards that provide a view into descriptive, diagnostic, and or predictive analytics; build curated datasets used to power these products when needed
  • Ability to prioritize projects based on business impact and value; lead and manage large scale projects
  • Bring proactive insights into our key business metrics through curiosity, dedication, and ongoing investment in understanding our products; monitor and address changes in business performance
  • Work closely with your Analytics Engineering peers to provide an exhaustive list of requirements to bring new and unique curated datasets to production
  • Establish strong cross departmental relationships with stakeholders and peers to understand business problems and opportunities for improvements
  • Become an expert of the Ibotta Data Ecosystem and how various team’s leverage Ibotta’s suite of data to answer domain specific business questions
  • Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency, & A great idea can come from anywhere

Requirements & Skills:

  • 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, Airflow, Git/GitHub, etc.)
    • BI & other analytics tools (Looker preferred)
    • Data pipelines and ETL/ELT processes
  • Ability to handle context switching due to the pace of the business
  • Flexibility and business knowledge to jump into high-valued, urgent requests
  • 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
  • Advanced interpersonal skills with the proven ability to collaborate across functional areas

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