Analytics Engineer, Product Analytics

Posted Yesterday
Be an Early Applicant
Denver, CO, USA
Hybrid
113K-132K Annually
Mid level
eCommerce • Mobile • Payments
Make Every Purchase Rewarding
The Role
Build and maintain production data pipelines, data foundations, and automation to enable product analytics. Collaborate with decision scientists and data teams to document, validate, and monitor event-based datasets, implement CI/CD and testing, and deploy alerting/anomaly detection to ensure reliable analytics data.
Summary Generated by Built In

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.

 

Recruiting Agency Notice

Ibotta does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to any Ibotta employees.

Skills Required

  • 3+ years practical work experience in a data engineering role supporting an analytics team
  • Bachelor's degree in Computer Science, Engineering, Analytics, Statistics, Economics, or related field
  • Proven experience with Python
  • Proven experience with SQL
  • Building and maintaining production data pipelines
  • Experience developing solutions applying data quality principles, including schema validation and data contracts
  • Experience identifying and troubleshooting data anomalies and pipeline issues, including supporting CI/CD and automated testing
  • Experience with GitHub Actions (CI/CD)
  • Extensive experience ETLing data
  • Ownership of data lifecycle, including rollup and aggregation tables from tracking and business events
  • Track record managing and updating cluster configurations to ensure workflow operation
  • Collaboration with SMEs to understand business context of data
  • Experience with Databricks or similar cloud data warehouse
  • Familiarity with Airflow
  • Familiarity with Databricks Asset Bundles (DABs)
  • Familiarity with Looker/LookML
  • Experience building automated alerting and anomaly detection (e.g., Monte Carlo)
  • Familiarity with AI-supported development tooling (e.g., Claude, Copilot)

What the Team is Saying

Kate
Prachi
Shelby
Mandy
Nick
Tim
Natalie
Tiffany
Minh

Ibotta Compensation & Benefits Highlights

  • Healthcare Strength Health coverage is presented as comprehensive, with multiple plan options and some fully funded by the company for employees, alongside dental, vision, and mental‑health support. This robust medical offering anchors the overall package.
  • Parental & Family Support Family support includes paid parental leave, fertility benefits, adoption assistance, childcare support via Helpr, a return‑to‑work program, and an onsite Mother’s Room. These programs indicate attention to caregiving needs beyond basic policies.
  • Retirement Support A 401(k) with company match is offered, including a 100% match on the first 3% of pay. This provides accessible retirement savings support as part of total rewards.

Ibotta Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Denver, CO
830 Employees
Year Founded: 2012

What We Do

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 $1.8 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.

Why Work With Us

We help people in a very tangible way – we pay them. The more we give back, the more we earn. We don’t have to choose between doing good and doing well. Our company goals keep us on track as we build a highly profitable business that maximizes a positive impact on the world around us.

Gallery

Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery

Ibotta Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Ibotta empowers our employees to achieve our mission and values from anywhere within the continental U.S. with our flexible hybrid work schedule.

Typical time on-site: Flexible
HQDenver, CO
Currently hybrid - our headquarters are located in central Downtown Denver - convenient access to public transportation and Denver's best restaurants!

Similar Jobs

Ibotta Logo Ibotta

Senior Analytics Engineer

eCommerce • Mobile • Payments
Hybrid
Denver, CO, USA
830 Employees
127K-147K Annually

Ibotta Logo Ibotta

Sales Operations Analyst

eCommerce • Mobile • Payments
Hybrid
Denver, CO, USA
830 Employees
92K-107K Annually

Ibotta Logo Ibotta

Data Science Manager, Marketing Analytics

eCommerce • Mobile • Payments
Hybrid
Denver, CO, USA
830 Employees
158K-185K Annually

Ibotta Logo Ibotta

Business Development Director

eCommerce • Mobile • Payments
Hybrid
Denver, CO, USA
830 Employees
184K-204K Annually

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account