Own and maintain our end-to-end BI setup, which currently includes Airbyte, dbt, Snowflake, and Metabase
Build and maintain reliable, scalable data models that ensure data integrity and accuracy across all business functions
Analyze business performance metrics, identify trends, and provide actionable recommendations to leadership and various teams
Work closely with engineering, product, marketing, and sales teams to understand data needs and support data-driven decision-making
Manage and upskill junior team members and ensure that data strategies align with the company’s vision and goals
Implement and uphold data governance policies and industry best practices to maintain compliance and security
Apply AI coding tools to accelerate development, improve code quality, and establish best practices for AI-assisted analytics across the team

5+ years of experience in Business Intelligence, Data Analytics, or a related field
Strong proficiency in SQL and experience working with relational databases such as PostgreSQL, Snowflake, Redshift, or similar
Excellent communication skills with the ability to clearly present complex data and insights to non-technical stakeholders
Hands-on experience building dashboards and reports using BI tools such as Tableau, Power BI, Metabase, or similar
Solid understanding of data modeling, ETL processes, and data warehousing concepts
Strong analytical and problem-solving skills with the ability to translate complex data into meaningful business insights
Experience working in a startup or fast-paced environment with rapidly evolving priorities
Familiarity with AI-assisted development tools (e.g. Codex, Claude Code, Cursor, or similar) and an interest in integrating them into modern analytics engineering workflows
Experience working with dbt for data transformation and analytics engineering workflows is a Plus

Team Lead, Data Analytics

Key skills