Senior Decision Scientist, Core Data & Analytics

Ibotta is seeking a Senior Decision Scientist, Core Data & Analytics to join our innovative team and contribute to our mission to Make Every Purchase Rewarding. You will be responsible for working with our data producers to validate the quality of our new and existing performance, behavioral, operational, and financial data required for data products. Our decision scientists work with a variety of analytics tools (Databricks, Airflow, GitHub, Python, Looker, etc) for developing visualizations and to perform analytical deep dives that drive decision making. In addition, you will also take your subject matter expertise “on the road”, sharing these newly available data, data products, and or insights to the broader community through presentations and other means of communication, multiplying the knowledge of the suite of data throughout the org.

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:

• Identify, validate, document, and UAT event-based data for business use across the organization

• Build and maintain business critical metrics and dashboards which 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

What we are looking for:

• 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

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

• 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