Senior Data Acquisition Analyst

This role focuses on building and scaling data acquisition systems to ingest and process large volumes of people and company data. The engineer will work on data pipelines, web scraping, and API integrations to ensure high-quality data delivery.

This Senior Data Analyst role supports process improvement, project automation, and technology solutions within the Digital team. The analyst will apply AI tools for data standardization, design database structures, automate workflows, and use ETL techniques to support decision-making. Requires experience in data management, strong SQL Server and Python skills, and project coordination abilities.

Analyzes complex datasets to drive business insights and support decision-making. Responsibilities include data extraction, cleaning, visualization, and reporting using analytics tools, requiring strong analytical skills and experience with data analysis methodologies.

Acquires high-quality data for AI training, sourcing data, managing partnerships, and ensuring data quality. Requires experience in data sourcing and vendor management.

Leads the development of entity resolution algorithms to accurately link and deduplicate records across large datasets. Requires deep expertise in machine learning, data mining, and scalable data processing.

Designs and deploys machine learning models for the Match team, optimizing matching accuracy and performance. Requires strong software engineering skills and experience with large-scale ML systems.

Content & Editorial Strategist (fractional) responsible for developing and executing content strategies to support marketing and thought leadership. Requires strong writing, editing, and strategic planning skills.