Analytics Engineer

Ibotta•Denver, CO

44d•$113,000 - $132,000•Hybrid

About The Position

Ibotta is seeking an Analytics Engineer to join our innovative team and contribute to our mission to Make Every Purchase Rewarding. This includes building the next iterations of the app, mobile, web, and extension experiences, new features driven by algorithms, and expert data engineering to enable the business to drive decisions using data. As an Analytics Engineer, you will be responsible for using the latest developments in data ETL, support strategy development, build state-of-the-art tools, and improve our future product developments. Data is considered a strategic asset here at Ibotta. In this role, you’ll be able to have a direct impact by making data available and reliable for the Decision Science team to provide advanced analytics, models, and analyses available 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.

Requirements

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 or a related field required
An ability to develop solutions by applying data quality principles
Proven experience with Python and SQL data wrangling
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
Ownership of data throughout its lifecycle
Track record of successfully managing and updating cluster configurations to ensure workflow operation
In-depth experience with ETLing data

Responsibilities

Become an Ibotta Data Ninja, helping us organize and optimize our data for analysis
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 sets using Airflow
Building UI and automation tools to enable data democratization throughout the company
Building automated altering and anomaly detection into data flow
Ownership of multiple large projects end-to-end
Managing new data requirements and developing solutions that minimize technical debt creation
Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency & A good idea can come from anywhere