Data Analyst(SQL,Power BI) in a US based Co

Dashboards and BI • Work with Product and leadership teams to understand what they need to know, and turn that into clear metric definitions and dashboard requirements • Explore and document our PostgreSQL data model: tables, relationships, key fields, and known data quirks • Write efficient, well-structured SQL to pull, join, and shape data for reporting • Build, maintain, and improve dashboards in our BI tool (Superset today), keeping them accurate, fast, and easy to use • Define and keep a single source of truth for key metrics so numbers match across dashboards and teams • Help migrate to a new BI tool as our stack evolves (on the short-term roadmap) Analysis and insights • Run ad-hoc analyses to answer business and product questions • Track product usage, and spot trends, patterns, and anomalies in data • Validate data quality and flag gaps or inconsistencies to engineering • Present findings in plain language with clear, actionable recommendations Qualifications:- • Bachelor's degree in a core engineering discipline, mathematics, statistics, or construction management (GPA above 8 preferred) • Strong SQL: joins, aggregations, subqueries, CTEs, and window functions; PostgreSQL experience is a plus • Hands-on experience building dashboards in at least one BI tool, such as Superset, Metabase, MicroStrategy, Tableau, Power BI, Looker, or Redash (internships, projects, and coursework count) • Comfort learning an unfamiliar database schema and working out how the tables connect • Excellent Excel skills • Strong analytical and logical thinking, with attention to detail and accuracy • Clear written and verbal communication, including explaining data to non-technical people • Eagerness to pick up new tools quickly, since our BI stack will change • High ownership and comfort in a fast-moving startup Good to have (not mandatory) • Python (pandas) for analysis and automation • Basic understanding of data modeling concepts such as fact and dimension tables, or tools like dbt • Exposure to SaaS or B2B products • Interest in or experience with the construction domain