Remote Senior Data Analyst

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Highlight

πŸ’΅ $100k-$135k
πŸ“Remote - Worldwide

Job highlights

Summary

Join Highlight, a women-owned startup, as a Senior Analyst to support business stakeholders with data-led insights, scalable reporting, and cross-functional collaboration.

Requirements

  • At least 3 years working in a business analyst, product analyst, or analytics engineering role at a SaaS company
  • 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

Responsibilities

  • 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
  • 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
  • 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
  • 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

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