Analytics Engineer, Product Analytics

Ibotta, Inc.; Denver (CO); Hybrid; USD 113,000 - 132,000; Full time

Benefits offered by this job

Medical benefits

Stock purchase plan

401(k) match

Denver office perks

Job summary

Ibotta is seeking an Analytics Engineer in Denver to join the Product Analytics team. You will build scalable data pipelines, maintain data foundations, and enable data-driven product decisions across consumer products and client surfaces.

You’ll collaborate with Decision Scientists and other data teams, own end-to-end projects, and help make data reliable for advanced analytics. This role emphasizes data quality, CI/CD, and AI-enabled workflow improvements.

Qualifications

• 3+ years in data engineering supporting analytics teams or as analytics engineer/BI developer
• Bachelor’s degree in Computer Science, Engineering, Analytics, Statistics, Economics, or related field
• Ability to apply data quality principles, including schema validation and data contracts
• Proven Python and SQL experience, building/maintaining production data pipelines (Databricks or similar)
• Creative thinking, insights, and problem solving to answer business questions with data
• Collaboration with SMEs to understand data context
• Experience identifying/troubleshooting data anomalies and pipeline issues; CI/CD testing
• Ownership of data lifecycle; rollups/aggregations for tracking/events
• Familiarity with Airflow; growing Databricks Asset Bundles (DABs)
• Experience with ETLing data; Looker/LookML and AI-assisted tooling a plus

Responsibilities

• Collaborate with Decision Scientists to aggregate and normalize datasets
• Partner with data/engineering teams to represent data needs and best practices
• Incorporate knowledge of Decision Science solutions into data prep design
• Identify, validate, and test events-based data for data lake utility
• Understand business logic to document and maintain datasets
• Develop data sets with data quality principles and change management
• Deploy and maintain data pipelines using Airflow and CI/CD tooling
• Build UI and automation tools to enable data democratization
• Implement automated alerting and anomaly detection in data flows
• Own multiple projects end to end; minimize technical debt
• Explore AI-enabled tooling to improve engineering workflows

Skills

Python

SQL

Airflow

Databricks

Looker/LookML

GitHub Actions

Education

Bachelor’s degree in CS/Engineering/Analytics/Statistics

Tools

Databricks

Airflow

Looker/LookML

GitHub Actions

Job description

Ibotta is seeking an Analytics Engineer to join our Product Analytics team and contribute to our mission to Make Every Purchase Rewarding. This includes building scalable data pipelines and the data foundations that power product decisions across consumer products, client surfaces, and semantic layers, enabling the business to drive decisions using data.

As an Analytics Engineer, you will use the latest developments in data ETL, support strategy development, build practical automation and tooling, and help maintain the data foundations Product Analytics relies on. Data is considered a strategic asset here at Ibotta. In this role, you’ll have a direct impact by making data available and reliable for Decision Scientists and Data Scientists to provide advanced analytics, models, and analyses to their business stakeholders.

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:

• Collaborating cross-functionally with Decision Scientists to aggregate and normalize datasets for analysis

• Partnering and collaborating with other data related teams, including engineering, data engineering, analytics engineering, and decision science, to represent data needs and best practices through the data development, validation, and managed process

• Proactively incorporating the knowledge of how Decision Science solutions meet end customer needs into data preparation design and decisions

• Identifying, validating, documenting, and testing events-based data for business utility in the data lake to help answer strategic questions

• Understanding business logic to help document, test, and maintain datasets

• Developing data sets with data quality principles in mind; creating standards and change management principles for events used in analytics workflows to ensure reliability

• Deploying and maintaining data pipelines using Airflow (with growing exposure to Databricks Asset Bundles/DABs as the team migrates), and supporting CI/CD and automated testing (GitHub Actions) to keep pipelines reliable

• Building UI and automation tools to enable data democratization throughout the company

• Building automated alerting and anomaly detection (e.g., Monte Carlo or similar tooling) into data flows to catch issues early

• Owning multiple projects end to end, partnering with the Sr. Analytics Engineer on larger initiatives, and developing solutions that minimize technical debt creation

• Exploring tooling supported by AI (e.g., Claude skills and plugins) to improve day to day engineering workflows

• Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency & A good idea can come from anywhere

What we are looking for:

• 3+ years of practical work experience in a data engineering role supporting an analytics team, or equivalent experience as an analytics engineer or BI developer

• Bachelor’s degree in Computer Science, Engineering, Analytics, Statistics, Economics, or a related field required

• An ability to develop solutions by applying data quality principles, including schema validation and data contracts

• Proven experience with Python and SQL, including building and maintaining production data pipelines (Databricks or similar cloud data warehouse experience a plus)

• Ability to think creatively, provide thoughtful insights, and solve problems to answer business questions using data

• Collaboration with SMEs to understand the business context of the data

• Experience identifying and troubleshooting data anomalies and pipeline issues, including supporting CI/CD (GitHub Actions) and automated testing

• Ownership of data throughout its lifecycle, including rollup and aggregation tables built from tracking and business events

• Track record of successfully managing and updating cluster configurations to ensure workflow operation; familiarity with Airflow and growing platforms like Databricks Asset Bundles (DABs) a plus

• Extensive experience with ETLing data; familiarity with Looker/LookML and development tooling supported by AI (e.g., Claude, Copilot) a plus

About Ibotta ("I bought a...")

Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop - all while paying only when their campaigns directly result in a sale. American shoppers have earned over $2.6 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine. To learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com.

Additional Details:

• This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks, and occasional meals.

• Base compensation range: $113,000 - $132,000. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience.

• Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status.

• Applicants must be currently authorized to work in the United States on a full-time basis.

• Applicants are accepted until the position is filled.

• For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels.