Lead Analytics Engineer

Chicago, IL
$150,000 - $175,000 / Year 
Senior level
Why work here?
100% Remote, Hypergrowth Analytics SaaS, Equity part of total compensation

Job Description

A bit about us:

Our company is looking for a seasoned and dynamic Lead Analytics Engineer to join our innovative and fast-paced technology team. The successful candidate will be a key player in the design, creation, deployment, and maintenance of our analytics infrastructure. This role is vital to our organization as it directly influences our ability to make data-driven decisions. The position requires a deep understanding of modern data architecture, API, DBT, Snowflake, and Python. By joining our team, you will be part of a collaborative environment where your expertise will be valued and your innovative ideas will help shape the future of our company.

Why join us?

  • Innovative Technology
  • 100% Remote teams
  • Global presence
  • Great total rewards package w/ Equity

Job Details


  • Lead and manage the development and execution of an analytics platform that supports our business intelligence and data science teams.
  • Collaborate with cross-functional teams to understand their data needs and translate them into technical requirements.
  • Design and implement data models, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
  • Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity.
  • Collaborate with data analysts and data scientists to build and optimize 'big data' pipelines, architectures, and data sets.
  • Utilize DBT to transform data in our warehouse and ensure data is ready for analysis.
  • Use Snowflake to manage, store, and analyze data, ensuring it is available to stakeholders in a timely manner.
  • Drive the collection of new data and the refinement of existing data sources.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.


  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
  • Minimum of 5 years of experience in a data engineering role with a proven track record of successful data platform implementations.
  • Proficiency with Python, API, DBT, and Snowflake.
  • Experience with data architecture, data modeling, schema design, and software development.
  • Strong understanding of analytics and data platforms in the cloud (AWS, GCP, Azure).
  • Strong project management and organizational skills.
  • Excellent problem-solving and analytical skills, with the ability to create sophisticated solutions to complex problems.
  • Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  • Ability to work independently and as part of a team, on multiple projects simultaneously.
  • Experience with machine learning algorithms and statistical modeling techniques is a plus.

If you are a driven, results-oriented individual with a passion for data and analytics, we would love to hear from you. This is a fantastic opportunity to play a pivotal role in a fast-growing company, where your contributions will have a direct impact on our strategic decisions and our success. Apply today!
Ref #
21 days ago
Last updated 20 days ago

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