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Data Analyst at HomeVision, Remote (United States)

We’re looking for a Data Analyst to join as the second member of our data team. This is an ideal role for someone with 1–2 years of analyst experience or a relevant master’s degree who’s eager to take on diverse projects, learn fast, and grow with the company.

You’ll work with internal teams to gather requirements, enhance and design solutions to equip internal teams and customers with the tools, data, and reports they need to answer critical business questions, while also maintaining and evolving our analytics data architecture.

What You’ll Do

Analytics Engineering

• Build and maintain dbt models in our Redshift analytics environment.
• Ensure our data pipelines are accurate, well-documented, and scalable.

Empower Customer Decision Making

• Understand the goals of our customers and provide them with the tools to reach their operational goals through software configuration and management decisions
• Enhance the usability and feature set of our customer facing reporting suite of tools
• Investigate and resolve data-related inquiries from clients.

Cross-Team Collaboration

• Partner closely with product, customer success, engineering, and leadership to understand needs and deliver insights driving product direction and improving product performance.
• Contribute to a data-driven culture by making metrics accessible and actionable.

What We’re Looking For

Must-Haves

• Proficiency in SQL
• Basic statistics knowledge
• Experience working with data visualization or BI tools, preferably the open source Python library, Streamlit.
• Excellent communication skills and attention to detail.
• Self-starter with a growth mindset.

Nice-to-Haves

• Experience/familiarity with dbt, modern ETL
• Experience with Git
• Experience with Python
• Familiarity with cloud data warehouses (Redshift, Snowflake, BigQuery).
• Exposure to startup or SaaS environments.

Why Join HomeVision

• Immediate Impact – Your work will directly influence product direction, customer experience, and internal decision-making.
• Learning & Growth – You’ll work on the full data lifecycle, from raw ingestion to customer-facing insights.
• Startup Energy – Variety, autonomy, and the ability to wear many hats.