Decision Scientist, Product at ibotta

Denver, Colorado, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Consumer RewardsIndustries

Requirements

3+ years of experience in an analytical function
Bachelor’s degree in Analytics, Statistics, Economics or related field
Experience working with data analysis tools (e.g., Databricks, SQL, Python/R, Spark, Hive, Airflow, Git/GitHub)
Experience working with BI & other analytics tools (e.g., Looker/LookML, GA, Amplitude)
Experience with 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 (preferred)
Proactive, collaborative and driven to deliver in a dynamic, fast-paced environment
Comfortable continually asking questions of data and business
Ability to translate measurement outcomes into technical specifications and ambiguous business questions into structured data problems
Solid business sense to tie analytical outputs to actionable recommendations
Intellectually curious, conceptual thinker who uses creative problem-solving skills to diagnose root causes
Ability to analyze, visualize, communicate and automate complex learnings for broad stakeholders
Excellent interpersonal skills, collaborate across functional areas, manage stakeholder expectations
Demonstrate empathy for stakeholders, functional partners, clients and users
Candidates must live in the United States (hybrid position in Denver, CO requiring 3 days in office)

Responsibilities

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 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

Skills

Python

Databricks

Spark

Airflow

GitHub

Looker

A/B Testing

SQL

Data Modeling

Dashboarding

Statistics

ETL

ibotta

Shopping rewards app for cash-back offers

About ibotta

Ibotta operates a shopping rewards app that connects brands with millennial consumers by offering cash-back rewards for purchases. Users earn cash back by shopping at partner retailers, which encourages them to shop more often and spend more. Brands and retailers collaborate with Ibotta to promote their products through targeted advertising within the app, especially during major shopping events like Black Friday. Ibotta generates revenue by charging these brands for featured placements and marketing campaigns designed to increase sales velocity and conversion rates. The company aims to enhance brand awareness and drive incremental sales for its clients, making it a significant player in the retail and consumer goods market.

Denver, ColoradoHeadquarters

2012Year Founded

$58.4MTotal Funding

IPOCompany Stage

Consumer Software, Consumer GoodsIndustries

501-1,000Employees

Benefits

Parental leave

Onsite gym

Dinner perk

Healthcare coverage

Culture club

401(k) match

Team wide bonus

Flexible time off

Equity

Lifestyle spending account

Risks

Increased competition from platforms like Rakuten and Honey could dilute market share.

Reliance on major retailers means disruptions could significantly impact revenue.

Rapid expansion in Denver may lead to increased operational costs and financial strain.

Differentiation

Ibotta offers cash-back rewards, incentivizing frequent shopping and larger purchases.

The Ibotta Performance Network delivers coordinated promotions across multiple platforms.

Ibotta connects brands with millions of millennial consumers, enhancing brand awareness and sales.

Upsides

Ibotta's user base grew by 158%, indicating strong consumer engagement.

Partnerships with major retailers like Walmart and Instacart boost Ibotta's market reach.

Winning the MarTech Breakthrough Award highlights Ibotta's innovation in performance marketing.

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