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.
- 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.
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