Technical Data Analyst

Location: Remote (PST) Only – W2

About the role

We're looking for an experienced Technical Data Analyst with SQL and MongoDB expertise to support stakeholder decision-making while analyzing platform and data usage patterns across legacy and new tools and systems. This role reports to the Patient Access Curator/Coverage Discovery product team within the client’s Health division and may directly shape product and development team priorities.

You will research data and development dependencies, analyze usage patterns, and document requirements to inform decision-making, ensuring accurate, applicable data insights across the organization and a smooth transition as we modernize our platforms.

Responsibilities

• Work with partners to address their reporting requirements.
• Collaborate with the product and development team to help with query optimization.
• Research and identify dependencies to support platform updates.
• Analyze usage and adoption patterns to determine what data, rules, or configurations should carry forward during migrations or be transitioned to new tools versus what can be retired.
• Perform comparative analysis across systems or platforms to identify where functionality maps directly and where it needs to be redesigned.
• Analyze clients and configurations to identify migration candidates, risks, and transition readiness.
• Analyze how settings and configurations are used across different levels (e.g., account, client, user) to inform system design and migration decisions.
• Write and implement complex SQL queries to extract, manipulate, and analyze data.
• Perform data retrieval and manipulation using MongoDB queries.
• Produce detailed and actionable reports based on data analysis and query results.
• Present findings and insights to partners.
• Troubleshoot and resolve data-related issues.
• Document and maintain clear requirements and analysis findings (e.g., in Confluence or similar tools) to support ongoing projects and migrations.
• Work with other team members and departments to understand data needs and provide analytical support.
• Partner with product and implementation teams to validate requirements against real-world usage.

Qualifications

• 3+ years' experience in SQL and MongoDB.
• 3+ years' experience as a Data Analyst or similar role, with a focus on payer data or healthcare data.
• 3+ years' experience with data analysis, data integration, and database management.
• 3+ years' experience with data visualization tools and techniques.
• Experience analyzing large datasets and extracting meaningful insights, and presenting complex data and findings concisely.
• Bachelor's degree in Computer Science, Data Science, Information Technology, Statistics, or a related field. Advanced degrees or certifications are welcome.
• Experience with data integration tools or platforms.
• Experience supporting platform modernization, product consolidation, migration, or sunset initiatives (preferred).
• Experience and comfort using AI tools (e.g., LLMs, AI-assisted coding and analysis platforms) to accelerate data analysis, documentation, and requirements work, paired with the judgement to critically evaluate AI-generated outputs for accuracy.
• Knowledge of data warehousing concepts and practices.
• Familiarity with additional programming languages or data manipulation tools.
• Experience gathering, documenting, and validating business or technical requirements, ideally in a system migration or platform-consolidation context.
• Familiarity with requirements and documentation tools such as Confluence or Jira.

Team Culture

• Communicative team.
• Open and honest.
• Collaborative.
• Team-oriented.
• Flexible.

Key Projects

• AI, SQL, and query projects (focused on the analyst side).

Purpose of the Team

Builds and manages data platforms, software, and workflow solutions that help healthcare providers, payers, and patients manage revenue cycles, patient data, and administrative compliance.