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Analytics Engineer

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Salary

$110,000 - $145,000 a year

Location

Remote

As a rapidly scaling company, we move fast and experiment often. Our analytics function is strategically important for superior decision-making at every level, empowering the company with the information needed and transparency to make great decisions. We focus on comprehensive reporting across Finance, Product, Marketing, Operations, and Sales to drive our growth and operational excellence.

Role Overview

As a Senior Analyst at Highlight, you will support and empower business stakeholders to drive key outcomes and make strategic decisions through measurement and data-led insights. You’ll work closely with the executive team and cross-functional leaders across all functions.

As part of a small data/analytics team, we will look to the person to create scalable reporting and foster a broad data-fluent culture to support the company. To thrive in this role, you must enjoy cross-functional and collaborative work, and finding elegant, simple solutions distilled from complex inputs and perspectives.

Key Responsibilities

  • Reporting & Visualization
  • Develop and maintain key reports used for quarterly board meetings and monthly business reviews using Looker and LookML.
  • Create and manage data models in dbt to ensure reliable and scalable data pipelines.

  • Integrate and analyze CRM data from HubSpot to support Finance, Product, Marketing, Operations, and Accounting reporting needs.

  • Data Engineering & Management

  • Work with Snowflake and Postgres databases to gather, process, and analyze large datasets.
  • Utilize ETL tools like Fivetran to integrate data from various sources, including HubSpot, into the data warehouse.

  • Manage and optimize data flows between HubSpot and other systems to ensure data integrity and availability.

  • Analytics & Insights

  • Generate actionable insights for special projects and initiatives, supporting cross-functional teams in Finance, Product, Marketing, Sales, Operations, and Sales.

  • Proactively identify data needs related to CRM and other key business areas and implement solutions to enhance reporting capabilities.

  • Collaboration & Communication

  • Collaborate with stakeholders across the company to ensure data accuracy and integrity.
  • Present data findings and recommendations to stakeholders in a clear, concise manner.
  • Empower the rest of the company to become more data-fluent through training and support, particularly in leveraging HubSpot data for reporting.

Key Qualifications

  • At least 3 years working in a business analyst, product analyst, or analytics engineering role at a SaaS company.
  • 1+ year of experience with dbt for data modeling
  • Expert SQL skills.
  • At least 1 year of experience working with Looker and LookML.
  • Proficient with Snowflake and Postgres databases.
  • Experience with dbt for data modeling.
  • Familiarity with ETL tools like Fivetran.
  • Experience with HubSpot CRM and integrating its data into analytics workflows.
  • Experience with version control using GitHub.
  • Knowledge of AWS services.
  • Strong attention to detail and ability to work in a fast-paced, agile environment.
  • Excellent communication skills.
  • Proactive self-starter with the ability to work independently and collaboratively.

Nice to Have Qualifications

  • Experience with Python for data analysis.
  • Familiarity with the Modern Data Stack concepts and dimensional modeling.
  • Experience with additional BI tools or data visualization platforms.

Our Data Stack

  • Fivetran
  • dbt
  • Snowflake
  • Looker
  • Pendo
  • Datadog
  • HubSpot
  • Quickbooks
  • Airtable
  • Google Sheets
  • Amazon RDS/Aurora for PostgreSQL
  • GitHub

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