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Analytics Engineer - Remote

Posted 1 week ago
Data Analysis
Full Time
Worldwide
$116,000 - $145,000/year

Overview

As a Senior Analyst / Analytics Engineer at Highlight, you will support and empower business stakeholders driving key outcomes and making strategic decisions through measurement and data-led insights.

In Short

  • Develop and maintain key reports using Looker and LookML.
  • Create and manage data models in dbt.
  • Integrate and analyze CRM data from HubSpot.
  • Work with Snowflake and Postgres databases.
  • Utilize ETL tools like Fivetran.
  • Generate actionable insights for cross-functional teams.
  • Collaborate with stakeholders across various departments.
  • Present findings and recommendations clearly.
  • Empower the company to become more data-fluent.
  • 3+ years in a business, product, or analytics engineering role.

Requirements

  • Expert in SQL, with experience using Snowflake and Postgres.
  • Proficient in Looker and LookML.
  • Hands-on experience with dbt and Fivetran.
  • Familiar with integrating HubSpot CRM data.
  • Comfortable using GitHub for version control.
  • Detail-oriented with a focus on accuracy.
  • Thrives in fast-paced environments.
  • Clear communicator able to distill technical topics.
  • Proactive self-starter who collaborates well.

Benefits

  • Health insurance with 100% employee premiums covered.
  • Unlimited PTO.
  • Flexible, remote WFH culture.
  • Access to the Hearst Tower facilities in NYC.
  • Starting salary range based on experience: $116,000 - $145,000.
Highlight logo

Highlight

Highlight is a women-owned, minority-owned startup dedicated to transforming product intelligence and enhancing product development for brands and consumers alike. Collaborating with innovation and insights teams from major companies such as P&G, Mondelez, Nestle, Pepsi, and Mars, Highlight aims to democratize access to data, enabling both emerging and established brands to create better products. As a rapidly scaling company, Highlight emphasizes the importance of analytics for informed decision-making across various functions, including Finance, Product, Marketing, Operations, and Sales. The company fosters a collaborative and data-fluent culture, empowering stakeholders with actionable insights and comprehensive reporting to drive growth and operational excellence.

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