Data Analyst

Title : Technical Data Analyst

Location : San Francisco, CA( Hybrid)

Contract

We are seeking a 10+ years' experience Technical Data Analyst with strong expertise in SQL and Python, hands-on experience with modern data platforms, and the ability to translate complex data into trusted, actionable insights. This role will work closely with engineering, product, and business stakeholders to support analytics, reporting, and data-driven decision-making at scale.

Key Responsibilities

• Write complex, high-performance SQL queries to analyze large, structured and semi-structured datasets
• 8-10 years of software development and deployment experience with at least 5 years of hands-on experience with SQL, Databricks, ADF, Datastage (or other ETL tool), SSAS cubes, Cognos, Tableau, Thoughtspot and other BI tools
• Write SQL for processing raw data, kafka ingestions, adf pipelines, data validation and QA
• Knowledge working with APIs to collect or ingest data
• Use Python for data analysis, automation, validation, and lightweight data engineering tasks
• Build, enhance, and maintain dashboards and reports using Tableau and ThoughtSpot
• Partner with data engineers to design, validate, and optimize ETL / ELT pipelines
• Work extensively with Databricks (Spark, notebooks, Delta tables) for data exploration and analytics
• Perform data quality checks, reconciliations, and root-cause analysis to ensure data accuracy and consistency
• Translate business requirements into technical data solutions and semantic layers
• Support self-service analytics by documenting datasets, metrics, and business definitions
• Collaborate across teams to troubleshoot data issues and improve reporting performance

Required Qualifications

Preferred Qualifications

What Success Looks Like