Senior Decision Scientist, Core Data and Analytics at ibotta

Denver, Colorado, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AnalyticsIndustries

Requirements

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.)
In-Depth experience working with BI & other analytics tools (Looker preferred)
In-Depth experience with 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
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
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
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 and functional partners
Candidates must live in the United States
Located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday)

Responsibilities

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 teams leverage Ibotta’s suite of data to answer domain specific business questions
Work with data producers to validate the quality of new and existing performance, behavioral, operational, and financial data required for data products
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
Take subject matter expertise “on the road”, sharing 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
Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency, & A great idea can come from anywhere

Skills

Key technologies and capabilities for this role

DatabricksAirflowGitHubPythonLookerData ValidationUATMetricsDashboardsAnalytics EngineeringPredictive AnalyticsVisualizations

Questions & Answers

Common questions about this position

What is the work arrangement for this position?

This is a hybrid position located in Denver, Colorado, requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States.

What technical skills are required for this role?

Required skills include in-depth experience with data analysis tools like Databricks, SQL, Python, Airflow, Git/GitHub; BI tools like Looker; data pipelines and ETL/ELT processes; plus advanced abilities in applied statistical methods, experimental design, and hypothesis testing.

What are Ibotta's core values?

Ibotta’s Core Values are Integrity, Boldness, Ownership, Teamwork, Transparency, & A great idea can come from anywhere.

What experience level is needed for this Senior Decision Scientist role?

Candidates need 5+ years of experience in an analytical function, a Bachelor’s degree in Analytics, Statistics, Economics or related field (advanced degree preferred), and extensive experience with large, multi-dimensional data sets and leading projects.

Is salary information provided for this position?

This information is not specified in the job description.

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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