Designs and implements production-ready data solutions, including pipelines, orchestration, ingestion, distributed computing, and cloud services. Responsibilities include gathering technical requirements, writing tested code, conducting design and code reviews, troubleshooting defects, participating in Agile ceremonies, and evaluating emerging technologies. The role collaborates with architects, client-facing teams, and project stakeholders while applying data management, DevOps, security, ETL, and data warehousing practices.

Develops advanced statistical models and custom analyses using analytics tools to guide client decision-making. The role communicates findings through presentations, builds client relationships, provides project updates, creates deliverables, implements solutions, and mentors Associates. Candidates need a quantitative academic background, programming or analytics-tool proficiency, strong communication skills, and up to three years of relevant experience.

Support data governance policy implementation, data discovery, classification, cataloging, quality monitoring, metadata and lineage documentation, risk assessments, audits, tool administration, and remediation. Partner with data owners, stewards, and IT teams to promote secure, compliant, and trusted data. Provide training, user support, workflow assistance, and governance dashboards for leadership.