Data Analyst

Title: Data Analyst Client: Global leader in Technology/ Electronics Duration: 12 months contract with HIGH chance for extension or become permanent. Location: One Pennsylvania Plaza, New York, NY (Onsite) Pay: $43-47/hr W2 + Benefits/PTO Top Required Skills • Bachelor's degree • 3+ years in data analysis or engineering • Strong SQL skills – Minimum 3 years hands-on SQL experience. • Minium 2 years of hands-on Python experience • Hands-on data pipelines experience • Exposure to Snowflake or Big data Responsibilities: • Working closely with internal stakeholders, translate business requirements into SQL queries and Python scripts for Ad Hoc analysis and custom reporting solutions. • Transform and cleanse outputs into meaningful analysis for business/sales teams Explore data to identify client ad performance opportunities, trends and anomalies, contribute to new reporting capabilities/solutions. • Architect data pipelines to connect different data sources and automate reporting flows. • Develop and maintain Extract, Transform & Load (ETL) processes tailored to evolving client needs. • Tune and optimize current reporting solutions to meet updated client needs, new measurement methodologies, or improve query performance. Qualifications: • Bachelor's Degree • 3+ years in a related engineering/analytics work. • Strong SQL skills - 3 years using SQL. • 2+ years of Python experience. • Exposure to Snowflake or Big data. • Experience with automation, and ability to build custom solutions for unique client needs across various software tools. • Nice to have experience with AWS or Automation tools such as IAM, Lambda, EC2 and S3. • Nice to have Jira, Confluence, GitHub and other agile development tool experience. • Ability to communicate technical roadblocks to non-technical stakeholders. Bonus: • Degree in computer science/engineering or quantitative discipline (Economics, Statistics, Engineering, Physics, Mathematics. • Familiarity with media, TV measurement. • Experience designing AB tests. • Big Data / Data Lake Experience. • Exposure to Data Cleanrooms. • Athena Experience.