Ibotta is seeking a Senior Analytics Engineer to contribute to the mission to Make Every Purchase Rewarding by providing embedded support to the revenue analytics team within Sales Operations and ensuring they have the data assets required to enable critical revenue and sales productivity reporting.
Requirements
- 5+ years of practical work experience in a data engineering role supporting an analytics team or equivalent experience as an analytics engineer
- Direct experience working with sales teams and revenue-related data, including building connections to data sourced from Salesforce, strongly preferred
- Working knowledge and some practical experience with some or all of the following: End-to-end data pipelines and ETL/ELT processes and tools (AWS Glue, DBT, etc.)
- AWS EcoSystem and cloud-based data warehouse and architecture
- Airflow, DataBricks, Git, Monte Carlo
- Multiple languages and frameworks (Python, Scala, strong SQL, Spark) highly preferred
- Development in a modern BI/data visualization platform (Looker, Tableau, etc.)
Responsibilities
- Be an Ibotta Data Owner, helping us organize and optimize our data for analysis
- Serve as a mentor to junior Analytics Engineer team members
- Collaborate with other Analytics Engineers and Analytics peers to define requirements and normalize datasets for use
- Identify, validate, document, and UAT event-based data for business use across the Sales Operations team
- Understand, and often own, Sales Operations team business logic to help document, test, and maintain datasets
- Develop revenue-related datasets with data quality principles in mind, creating standards and change management principles for events used in analytics workflows to ensure reliability
- Implement and utilize engineering best practices and methods to deploy and maintain quality, curated data sets using Airflow, including automated alerting and anomaly detection into data flows to ensure data quality and integrity
Other
- Bachelor’s degree in Computer Science, Engineering, Analytics or a related field required
- Applicants must be currently authorized to work in the United States on a full-time basis
- Excellent oral and written communication skills
- Ability to think creatively, provide thoughtful insights, and proactively solve problems to answer business questions using data
- Collaboration with SMEs to understand the business context of the data
