Data Analyst III, Data Platform Engineering Support

This is a fully remote position, open to applicants in United States.

📋 Description

• Manage a portfolio of production data pipelines, analytical datasets, dashboards, and reporting tools.

• Convert business inquiries into data requirements, analytical methodologies, and prioritized solutions.

• Design, construct, optimize, and maintain ETL/ELT processes and analytical datasets.

• Integrate and onboard client, payer, and internal healthcare data sources.

• Establish data quality standards, validation frameworks, monitoring, logging, and alerting protocols.

• Conduct root-cause analysis and address complex data challenges and production incidents.

• Assess data model and schema modifications and evaluate downstream effects.

• Examine business trends and generate insights that support growth, client retention, financial performance, marketing, clinical outcomes, and product innovation.

• Develop and sustain dashboards, reporting solutions, metric definitions, data dictionaries, and operational documentation.

• Collaborate with analysts, data scientists, engineers, database administrators, product managers, clinical researchers, and business stakeholders.

• Guide junior team members and enhance code quality, documentation, version control, testing, and peer review processes.

• Assess emerging and AI-enabled technologies to enhance analytics workflows and productivity.

• Ensure adherence to HIPAA and company data governance policies when managing PHI and PII.

⛳️ Requirements

• Bachelor's degree in a quantitative, technical, or related discipline.

• Over 5 years of professional experience in data analytics, analytics engineering, data engineering, business intelligence, or similar fields.

• Proficient in advanced SQL.

• Strong experience in Python programming for analytics, automation, and data transformation.

• Experience in creating dashboards and visualizations using Power BI and/or Tableau.

• Capability to write maintainable, scalable, well-documented code and contribute to engineering and analytics best practices.

• Practical experience with cloud-based data environments, including Azure and/or AWS.

• Familiarity with Databricks, Snowflake, and dbt, specifically in developing production-grade data pipelines and transformations.

• Experience with GitHub, version control processes, code reviews, and tools such as Jira.

• Proven experience collaborating with cross-functional stakeholders to define requirements, deliver insights, and achieve business objectives.

• Ability to work autonomously in a dynamic environment with shifting priorities.

• Excellent communication and storytelling skills suitable for both technical and non-technical audiences.

• Currently authorized to work in the United States without visa sponsorship now or in the future.

🏝️ Benefits

• Performance bonus.

• Flexible Vacation Policy.

• 80 hours of Paid Sick, Safe, and Caregiver Leave annually.

• Benefits program for employees and their families, subject to eligibility requirements.

• Opportunities for career advancement.

• Inclusive workplace culture.

• Company-provided equipment at no cost.