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[Remote] Technical Data Analyst

Work from home Full-time role Hiring

Note: The job is a remote job and is open to candidates in USA. Sharp Decisions is seeking an experienced Technical Data Analyst to support a healthcare product team focused on patient access, coverage discovery, and platform modernization. The role analyzes data and usage patterns, writes SQL and MongoDB queries, produces actionable reports, documents requirements, and supports migration and system-design decisions.

Responsibilities

  • Work with partners and address their reporting requirements
  • Collaborate with the product and development team
  • Help with query optimization
  • Research and identify dependencies to support platform updates
  • Analyze usage and adoption patterns to help determine what data, rules, or configurations should carry forward during migrations or be transitioned to the new tools/product 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

Skills

  • 3+ years' experience in SQL and MongoDB required
  • 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
  • Experience with data integration tools or platforms
  • 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
  • Bachelor's degree in Computer Science, Data Science, Information Technology, Statistics, or a related field. Advanced degrees or certifications are welcome
  • 3+ years
  • SQL and MongoDB experience
  • AI experience
  • Healthcare and revenue data experience
  • Experience supporting platform modernization, product consolidation, migration, or sunset initiatives preferred

Benefits

  • Remote (PST)
  • Flexible team-oriented work environment

Company Overview

  • Sharp Decisions is a staffing and recruiting company that offers technology and business staffing solutions. It was founded in 1990, and is headquartered in New York, New York, USA, with a workforce of 201-500 employees. Its website is http://sharpdecisions.com.
  • Company H1B Sponsorship

  • Sharp Decisions has a track record of offering H1B sponsorships, with 13 in 2026, 6 in 2025, 13 in 2024, 2 in 2023, 10 in 2022, 7 in 2021, 10 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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