Job Title

Analytics Engineer Preferred Start Date : ASAP Duration : 12+ months Telecommute : Yes Travel : No Description: Primary Responsibilities: • Collaborate with data engineers and data scientists and actuaries to design and deliver cloud health care analytic solutions • Responsible for data engineering lifecycle including research, proof of concepts, design, development, testing, deployment, and maintenance • Leverage deep technical knowledge to build, review, and quality control code to prepare, extract, and enrich data sources • Work with different business groups to understand available resources and constraints around data (sources, integrity, and definitions), processing platforms, and security • Ability to work with team members and clients to assess needs, provide assistance, and resolve problems • Lead team in exploratory data analysis, generating and testing working hypotheses, and uncovering interesting trends and relationships • Translate advanced business analytics problems into technical approaches that yield actionable recommendations, in the healthcare domain • Build automated, scalable, flexible, secure, and cross domain data and analytic pipelines with supporting monitors, listeners, notifications, and process state reporting • Lead monthly and quarterly production activities across multiple client engagements in parallel • Maintain high quality documentation of data definitions, transformations, and processes to ensure data governance and security Required Qualifications: • 5+ years' experience writing code in SQL and/or Python (pyspark) • 3+ years experience leading requirements gathering on product and/or process development initiatives • 2+ years experience with quality management using analytics processes for natural language processing, machine learning on unstructured data, and/or information retrieval • 5+ years expert knowledge of data discovery, cleaning, model selection, validation, and deployment • 2+ years of experience in the healthcare domain, including extensive experience working with claims and enrollment data with practical application • Experience with implementing CI/CD pipelines and using orchestration tools such as ADF, Airflow, etc. Preferred Qualifications: • Undergraduate degree in STEM field • Cloud experience (Azure/AWS/GCP) • Experience analyzing and building models using health care claims data • Prior work as an actuary or with actuaries • Knowledge of health care concepts -- benefits, pricing, underwriting, stop loss reinsurance, reserves etc.