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Analytics Engineer

Peak Design LogoPeak Design
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Salary

The base salary for this role is targeted between $115,000 - $145,000 USD

Our small but mighty Business Technology team is responsible for building and streamlining business processes by leveraging technology to optimize operations, enhance productivity, and propel business growth. We’re opening a new role - Analytics Engineer - to help us design, build, and maintain scalable and robust data pipelines that support the needs of different stakeholders, data analysts, and scientists. You will also help us build out dashboards for key visualizations throughout the company . This is our first data hire at Peak Design so the ideal candidate will require a blend of technical proficiency, an analytical mindset, and the ability to communicate effectively across teams.

What You'll Do:

  • Design and construct robust, scalable data models and data warehousing solutions to support our business analytics needs.
  • Ensure data architecture will support the requirements of the business
  • Define the architecture for our data warehouse and data lake
  • Manage and oversee data processes such as extract, transform, load (ETL) infrastructure to transfer and make data readily available across the company.
  • Collaborate with various business stakeholders and analysts to understand data needs
  • Create and manage dashboards and reporting tools to visualize key metrics and insights for different stakeholder groups.
  • Implement secure and compliant data processing practices.
  • Identify ways to improve data reliability, efficiency, and quality

About You:

  • 2-4 years in an Analytics Engineering role, with a proven track record of building and optimizing data systems.
  • Strong programming skills in Python or R, or similar.
  • Ability to think critically about data and its implications for the business, including strong problem-solving skills and attention to detail.
  • Experience with big data cloud services such as Redshift, BigQuery, or Snowflake or similar
  • Experience in building and optimizing big data pipelines, architectures, and datasets
  • Strong organizational skills and project management
  • Proficient in data visualization tools such as Tableau, Looker, or PowerBI

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