Data Analyst - Cloud (Remote) - job 1 of 2

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Analyst - Cloud in the United States.

The Data Analyst will play a central role in transforming complex datasets into actionable insights that drive operational and strategic decisions. You will work with cloud-hosted data platforms to collect, validate, and analyze information related to program performance, service utilization, and compliance. This role requires close collaboration with developers, cloud engineers, and policy teams to ensure the accuracy, accessibility, and security of data. You will contribute to building dashboards, reports, and metadata documentation that support both day-to-day operations and long-term planning. The position offers exposure to large-scale cloud systems, advanced analytics, and healthcare program datasets, within a structured and impact-driven environment.

Accountabilities

• Validate, clean, and ensure integrity of datasets ingested into cloud environments.
• Organize, analyze, and interpret large volumes of structured data, including provider, member, quality, and financial datasets.
• Collaborate with technical teams to support development of dashboards, reports, and visualization tools.
• Translate business and reporting requirements into technical specifications for implementation.
• Maintain metadata documentation, data dictionaries, and data governance standards.
• Identify trends, anomalies, and potential data issues, flagging them for resolution.
• Support ad-hoc reporting requests, recurring submissions, and compliance-related reporting.

• 3–5 years of experience as a Data Analyst or in a similar analytical role.
• Strong proficiency in SQL (PostgreSQL, SQL Server, or equivalent).
• Experience working with large datasets in cloud-based environments (AWS, Azure, or GCP).
• Familiarity with data visualization tools such as Power BI, Tableau, or Looker.
• Understanding of data governance, security, and compliance frameworks, especially for PHI/PII.
• High attention to detail, with strong documentation and data quality practices.

Preferred:

• Experience in healthcare or government programs (e.g., Medicaid, CHIP, MCOs, or quality reporting).
• Exposure to healthcare-specific datasets such as HEDIS, CAHPS, or claims data.
• Familiarity with ETL pipelines and collaboration with data engineering teams.

• Competitive salary with performance-based incentives.
• Fully remote work within the United States.
• Comprehensive medical, dental, and vision insurance with premium support.
• Paid time off (PTO) and recognized holidays.
• 401(k) retirement plan and health savings account.
• Opportunities for professional development and continuous learning.
• Wellness programs and supportive, collaborative corporate culture.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process, designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team performs an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or assessments) are then made by their internal hiring team.

Thank you for your interest!

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