Decision Scientist, Marketing Analytics at ibotta

Denver, Colorado, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Marketing, E-commerceIndustries

Requirements

3+ years of real world work experience in an analytical function. Experience with marketing or a related function in a consumer-facing or B2B industry strongly preferred
Bachelor’s degree in Analytics, Statistics, Economics or a related field required. Advanced analytics or statistics degree preferred. A combination of additional high level relevant work experience and technical boot camp or courses may substitute for specific degree requirement
Understanding of general business concepts, experience with Consumer and/or B2B marketing tactics and concepts preferred (examples include Customer Long Term Value and lifecycle, User Acquisition and Retention)
Technical experience and proficiency working with: Data analysis tools and languages (e.g., Databricks, SQL, Python/R, Pyspark, Spark, Git/GitHub, Excel/Google Suite)
BI & other visualization tools (e.g., Looker)
Data pipelines and ETL/ELT processes
Third party marketing analytics tools such as Google Analytics (GA4), Braze, Salesforce, MMP’s (mobile measurement partner) and similar
Foundation in building accurate and performant forecasting and data modeling including: Time series modeling, forecasting and seasonality; Predictive models to drive strategic business decision making; Classification modeling and techniques of personalizing customer experiences
Proficient in applied statistical analysis methods, experimental design, and hypothesis testing
Experience collecting, delivering and analyzing large, multi‐dimensional data sets
Excellent communication skills, including development of data summaries, visualizations and other storytelling methods
Problem solving skills including the ability to think of new or abstract ways of measuring the unmeasurable
Proven success in leveraging the tools and analytical

Responsibilities

Work cross-functionally with the Marketing team in analyzing customer segments and uncovering key, actionable insights about Ibotta user acquisition, lifecycle, and behaviors
Provide thought leadership and insight on performance metrics and attribution methodologies
Work directly with teams from a wide variety of functions including Finance, Revenue/Sales, Product, Engineering, Marketing, Machine Learning and other Analytics teams
Run statistical analysis and create predictive models based on past user purchases and data
Design, execute, and analyze controlled experiments to determine the impact of new approaches and be able to translate results into recommendations
Provide impactful presentations of data and insights to Marketing and company leadership in a clear and concise fashion
Represent the Marketing department on company wide data related task forces. Be vocal and represent our stakeholders needs as well as communicate back key learnings, findings or procedures
Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere

Skills

Statistics

Predictive Modeling

A/B Testing

SQL

Python

Attribution Modeling

Customer Segmentation

Data Visualization

Controlled Experiments

BI Tools

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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