Senior Data Analyst

Senior Data Analyst (Product & Engineering) Location: Fully Remote (U.S.) Type: Contract (8 months, potential extension) Rate: $70–85/hour We’re working with a growing software development company that’s building modern, data-driven products used across a wide range of customers. They’re looking to bring on a Senior Data Analyst to partner closely with product and engineering, owning analytics initiatives that directly influence product strategy and performance. This role is ideal for someone who operates with a high level of autonomy, is comfortable working in a technical environment, and can bridge the gap between data, product, and engineering. What you’ll be doing: • Writing and optimizing complex SQL queries to analyze large-scale datasets across cloud data platforms • Designing and owning scalable dashboards, reporting layers, and self-serve analytics solutions • Partnering with product and engineering teams to define KPIs, instrument tracking, and evaluate feature performance • Leading A/B testing and experimentation analysis, providing clear recommendations to stakeholders • Working with structured and semi-structured data to support advanced analytics use cases • Contributing to ETL/ELT processes and helping improve data pipeline performance and reliability • Performing deep-dive analyses and translating findings into actionable business and product insights What they’re looking for: • 5+ years of experience in a data analyst or product analytics role • Advanced SQL expertise (CTEs, window functions, performance tuning) • Strong experience with cloud data warehouses (Snowflake, BigQuery, Redshift, etc.) • Proven experience building dashboards using BI tools (Power BI, Tableau, Looker, etc.) • Experience with Python or R for analysis and data manipulation • Solid understanding of data modeling and working with large, complex datasets • Experience partnering directly with product and engineering teams • Strong communication skills with the ability to influence non-technical stakeholders Nice to have: • Experience with dbt, Airflow, or modern data stack tools • Background in a product-led or SaaS environment Why this role: • High-impact role with ownership over key analytics initiatives • Tight collaboration with product and engineering leadership • Fully remote, flexible environment • Strong likelihood of extension based on performance and project needs If you’re interested, feel free to apply or reach out directly to learn more. • • no third parties • •