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Analytics Engineer

Olo LogoOlo
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Salary

Our best estimate of the compensation range for this opportunity is $91,684 - $124,874 annually, depending on the experience you bring and your location.

Location

You can work remotely from anywhere in the U.S. or at Olo’s headquarters in NYC.

We are looking for an Analytics Engineer to join a newly formed Central Analytics team within the finance organization. Reporting to the Sr. Director of Business Analytics, you will be responsible for developing & maintaining data models to support reporting & analysis. Focusing first on the go-to-market function, your work will help drive performance management & key decisions around a complex implementation process. As part of a newly formed team, this role will be critical to establishing baselines for robust data models to answer a wide range of questions to drive growth at Olo.

What You'll Be Doing

  • Design and implement scalable data models in DBT to support reporting and analytics needs
  • Develop, maintain, and optimize data pipelines and ETL processes using SQL and DBT for use by central analytics team
  • Collaborate with the central analytics team alongside the Go to Market team to understand data requirements to deliver actionable insight
  • Create and maintain documentation for data processes, models, and workflows.
  • Support the development of dashboards and reports, particularly on Tableau Server
  • Monitor and troubleshoot data quality issues, ensuring the accuracy and reliability of data assets.
  • Stay updated with industry best practices and emerging technologies to continuously improve our analytics capabilities.

What We'll Expect From You

  • Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering or a related field
  • 3-5+ years of experience in a data engineering or analytics role
  • Strong Proficiency in SQL for data extraction, manipulation, and transformation. Experience with querying Salesforce data a plus
  • Experience with DBT for transforming data within data warehouses
  • Familiarity with Python and Snowflake a plus
  • Strong analytical and problem-solving skills, with attention to detail
  • Excellent communication skills and ability to work collaboratively in a team environment

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