Remote Senior Data Analyst
Highlight
π΅ $100k-$135k
πRemote - Worldwide
Please let Highlight know you found this job on JobsCollider. Thanks! π
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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