Senior Data Analyst - w2 candidates only

Duration: 12 months

Location: NYC (4 days onsite)

Summary: Seeking a Data Analyst to help support and build reporting automation for various business critical initiatives. This may include subscriber reporting and automated email sends, custom pipeline building and integration with our data and tech tools, Python scripting to build, extend, and run automated reports, quality testing and visualization, AI-assisted report summaries, and development of reporting automation in Git Hub.

Responsibilities: Respond to intake and document data requirements for subscriber reporting automation, including automated email sends and report configuration Build and extend reporting functionality in Python (automation, rendering, and related tooling) through Git Hub-based development Create clean and understandable visualizations and email-friendly layouts Develop queries based on required business logic to ensure accurate outputs Incorporate data and output quality testing into daily pipelines Develop strong knowledge of the technical infrastructure that underlies subscriber data Contribute to the design of resilient reporting solutions that minimize data incidents Required Skills 5+ years of analytical experience 5+ years of scripting experience (Python, R, Java Script), with meaningful use of Python for reporting automation workflows 3+ years using SQL and Looker (or equivalent) to develop, validate, or troubleshoot business logic in recurring reports and metrics deliverables Data visualization experience (Looker, Tableau)Experience with custom email reports (HTML, CSS) and email-client considerations Strong verbal and written communication skills

Preferred Skills: Experience building or prototyping tech from scratch Comfort using AI coding assistants to prototype reporting changes Understanding of statistics concepts (e.g., hypothesis testing, regression analysis)Familiarity with Airflow EducationN/AThe estimated pay range for this position is USD $60.00/hr - USD $66.00/hr. Exact compensation and offers of employment are dependent on job-related knowledge, skills, experience, licenses or certifications, and location. We also offer comprehensive benefits. The Talent Acquisition Partner can share more details about compensation or benefits for the role during the interview process.