Product Analyst

Precision Medicine Group is hiring a Product Analyst to support the analysis, maintenance, validation, and enhancement of healthcare data products.

The Product Analyst is a data-driven and detail-oriented professional who will work across healthcare data analysis, product validation, requirements documentation, dashboard development, testing, and cross-functional collaboration.

The role requires strong problem-solving abilities and hands-on experience working with SQL, Power BI, and Microsoft Excel to analyze complex datasets, investigate data and product issues, assess business impact, and generate actionable insights.

The Product Analyst will work closely with Product Owners, Product Managers, Data Engineering, Machine Learning, Software Engineering, Engagement, and Account teams.

The position reports to the Product Owner.

The role is particularly suited to professionals who enjoy working with complex healthcare datasets, investigating data discrepancies, understanding business requirements, validating product outputs, and translating analytical findings into practical solutions.

About Precision Medicine Group

Precision Medicine Group works within the healthcare and life sciences environment.

The Product Analyst role supports healthcare data products that involve complex US healthcare datasets and analytical processes.

The position provides exposure to areas including medical claims, pharmacy claims, patient-level data, payer data, formulary data, market-access information, product validation, data quality, analytics, and machine-learning-generated outputs.

The role also involves collaboration across Product, Data Engineering, Machine Learning, Software Engineering, Engagement, and Account teams.

What is the Product Analyst Role?

The Product Analyst supports the development, maintenance, validation, and improvement of healthcare data products.

The role enables the Product team to:

• Support active product projects
• Participate in application operations and development activities
• Support data delivery for clients subscribed to the product
• Analyze large US healthcare datasets
• Identify data-quality issues and coverage gaps
• Investigate product and data issues
• Perform root-cause analysis
• Assess business impact
• Support product enhancements
• Validate data transformations and analytical processes
• Validate machine-learning-generated results
• Develop and maintain product documentation
• Support functional and regression testing
• Support user acceptance testing
• Conduct data validation and reconciliation
• Support feasibility assessments
• Participate in proof-of-concept initiatives
• Work with cross-functional teams to deliver high-quality data products

The position combines technical data analysis with product understanding, business analysis, healthcare-domain knowledge, testing, documentation, and stakeholder collaboration.

Key Responsibilities

1. Product & Project Support

The Product Analyst will represent the Product team on active projects and support product-related activities across the organization.

Responsibilities include:

• Representing the Product team on active projects
• Participating in daily application operations and development stand-up meetings
• Supporting product-related workstreams
• Working with Product Owners and Product Managers
• Supporting the development and delivery of high-quality data products
• Coordinating with technical and business stakeholders
• Helping identify and resolve product-related issues
• Supporting product enhancements and improvements

2. Healthcare Data Analysis

The role involves analyzing large and complex US healthcare datasets.

Responsibilities may include:

• Analyzing medical claims data
• Analyzing pharmacy claims data
• Working with prescription data
• Analyzing payer data
• Working with formulary information
• Analyzing patient-level data
• Examining data across patient, claim, payer, plan, and other relevant levels
• Identifying patterns and trends
• Identifying data-quality issues
• Identifying coverage gaps
• Identifying opportunities for product improvement
• Generating actionable analytical insights

3. SQL Analysis & Data Investigation

Strong SQL skills are an essential part of the position.

The Product Analyst will:

• Write SQL queries for data extraction
• Profile datasets using SQL
• Perform data reconciliation
• Validate data outputs
• Investigate discrepancies
• Analyze the impact of source-data changes
• Compare datasets
• Assess changes resulting from revised business rules
• Analyze the impact of data-period changes
• Support product-enhancement analysis
• Optimize SQL queries where required
• Use SQL to investigate complex data issues

4. Data Comparison & Impact Analysis

The Product Analyst will compare datasets and product outputs to understand the impact of changes.

Responsibilities include:

• Comparing source and output datasets
• Investigating differences between datasets
• Assessing changes caused by revised business rules
• Evaluating source-data changes
• Assessing the impact of different data periods
• Evaluating product enhancements
• Identifying unexpected changes
• Documenting findings
• Communicating business impact to relevant stakeholders

5. Data Quality & Root-Cause Analysis

The role requires strong analytical and problem-solving capabilities.

Responsibilities may include:

• Investigating complex data issues
• Identifying data discrepancies
• Performing root-cause analysis
• Determining the source of data problems
• Assessing business impact
• Identifying practical solutions
• Communicating findings to relevant stakeholders
• Supporting corrective actions
• Following issues through resolution

The Product Analyst should be comfortable structuring ambiguous problems and converting them into clear analytical steps and action plans.

6. Product Validation

The Product Analyst will support validation of healthcare data products and their underlying processes.

This includes:

• Validating product outputs
• Validating analytical processes
• Validating data transformations
• Reviewing machine-learning-generated results
• Comparing expected and actual outputs
• Identifying inconsistencies
• Documenting validation results
• Supporting product quality improvements

7. Documentation & Requirements

The role involves creating and maintaining product documentation.

Responsibilities include:

• Creating data dictionaries
• Documenting business rules
• Documenting product requirements
• Developing test scenarios
• Documenting validation results
• Maintaining product-related documentation
• Supporting clear communication between technical and business teams
• Ensuring requirements and validation outcomes are appropriately recorded

8. Testing & Quality Assurance

The Product Analyst will support various product and data testing activities.

Responsibilities may include:

• Functional testing
• Data validation
• Regression testing
• Defect investigation
• User acceptance testing
• Reviewing test scenarios
• Identifying unexpected product behavior
• Investigating defects
• Communicating testing outcomes
• Supporting production-quality data products

9. Dashboard & Reporting Support

The role requires hands-on experience with Power BI and Microsoft Excel.

Responsibilities may include:

• Developing analytical dashboards
• Supporting dashboard maintenance
• Analyzing complex datasets in Excel
• Structuring analytical outputs
• Preparing data for stakeholder presentations
• Identifying trends and patterns
• Translating quantitative analysis into actionable information
• Supporting product and business reporting requirements

10. Client Data Delivery Support

The Product Analyst will support data delivery activities for clients subscribed to the product.

Responsibilities include:

• Supporting client data delivery
• Investigating delivery-related data issues
• Validating delivered data
• Working with internal teams to resolve discrepancies
• Ensuring data outputs meet expected requirements
• Supporting stakeholder communication around data issues and resolutions

11. Feasibility Assessments & Proof of Concepts

The Product Analyst will support initiatives involving new healthcare data and analytics capabilities.

Responsibilities may include:

• Supporting feasibility assessments
• Evaluating new healthcare data sources
• Supporting proof-of-concept initiatives
• Investigating potential analytical capabilities
• Assessing data availability and quality
• Supporting evaluation of new product ideas
• Working with technical teams to understand implementation considerations

12. Cross-Functional Collaboration

The Product Analyst will work across multiple teams to support product development and delivery.

Key stakeholders include:

• Product Owners
• Product Managers
• Data Engineering
• Machine Learning
• Software Engineering
• Engagement teams
• Account teams

Responsibilities include:

• Communicating analytical findings
• Sharing data-quality observations
• Supporting product requirements
• Coordinating issue resolution
• Conveying results to stakeholders
• Incorporating enhancements
• Supporting productionization of processes
• Working collaboratively across projects

Skills Required

Product Analysis, Data Analysis, Healthcare Analytics, US Healthcare Data, SQL, Power BI, Microsoft Excel, Data Profiling, Data Reconciliation, Data Validation, Root-Cause Analysis, Product Validation, Business Analysis, Requirements Documentation, Healthcare Claims Analysis, Medical Claims, Pharmacy Claims, Patient-Level Data, Payer Data, Formulary Data, Market Access, Dashboard Development, Functional Testing, Regression Testing, User Acceptance Testing, Defect Investigation, Business Impact Analysis, Cross-Functional Collaboration.

Eligibility Criteria

Candidates applying for the Product Analyst role should meet the following requirements:

• Bachelor’s degree in Engineering (B.E.) or Technology (B.Tech.)
• Degree in Computer Science or a related field is preferred
• 1–3 years of experience in healthcare analytics, product analysis, business analysis, data analysis, or a related role
• Strong problem-solving abilities
• Ability to structure ambiguous business questions
• Ability to investigate data discrepancies
• Ability to perform root-cause analysis
• Ability to recommend actionable solutions
• Strong hands-on experience with SQL
• Strong hands-on experience with Power BI
• Strong hands-on experience with Microsoft Excel
• Hands-on experience analyzing US healthcare data
• Ability to work with complex datasets
• Ability to communicate analytical findings clearly
• Ability to work effectively across teams
• Willingness to work with healthcare data products and analytical processes

Preferred / Additional Skills

Candidates with the following experience may have additional relevant qualifications:

• Hands-on experience with Snowflake
• Understanding of medical claims
• Understanding of pharmacy claims
• Understanding of payer hierarchies
• Understanding of BIN-PCN-Group data
• Understanding of formulary data
• Understanding of market access
• Understanding of patient-services analytics
• Experience with longitudinal patient analysis
• Experience analyzing treatment patterns
• Experience analyzing patient journeys
• Experience with payer-access analytics
• Familiarity with Python
• Familiarity with APIs
• Familiarity with JSON
• Experience validating machine-learning outputs
• Experience with Azure DevOps
• Experience with Jira
• Experience with Agile product-development practices
• Working knowledge of US Healthcare
• Working knowledge of Market Access
• Experience working in a HIPAA-compliant ecosystem

Key Attributes

Precision Medicine Group is looking for Product Analysts who demonstrate the following competencies:

Communication Skills: Able to communicate clearly through written, verbal, and presentation formats. Comfortable interpreting production data, financial reports, and other business information and communicating findings to customers, employees, and stakeholders.

Business Judgment: Able to understand business requirements and make decisions that support client value and healthcare consulting practices.

Strategic Thinking: Able to connect individual analytical tasks with broader product and project objectives and understand how specific work contributes to overall outcomes.

Analytical Thinking: Able to break complex problems into actionable steps, structure work plans, interpret quantitative and qualitative information, and identify practical solutions.

Collaboration & Teamwork: Able to give and receive constructive feedback and work effectively across Product, Engineering, Data, Machine Learning, Engagement, and Account teams.

Solutions Orientation: Resourceful and confident when investigating complex issues and working under pressure.

Resilience: Able to work through obstacles and roadblocks, ask for support when necessary, and identify alternative approaches to solving problems.

Attention to Detail: Careful when reviewing complex healthcare datasets, product outputs, requirements, validation results, and analytical findings.

Work From Home / Workspace Requirements

This is a remote position based in India.

The Product Analyst will work with cross-functional teams across Product, Data Engineering, Machine Learning, Software Engineering, Engagement, and Account functions.

Candidates should be comfortable:

• Working independently in a remote environment
• Participating in virtual team meetings
• Communicating analytical findings digitally
• Managing multiple project requirements
• Collaborating with technical and business stakeholders
• Working with complex datasets
• Meeting project and product-delivery requirements

Working Hours

The provided job description does not specify a fixed daily shift or exact working-hour schedule.

Working hours may be coordinated according to team requirements, project requirements, and stakeholder needs.

Working Days

This is a full-time employment opportunity.

The provided job description does not separately specify the exact number of working days or weekly schedule.

Salary

Compensation: Not specified in the provided job description.

Salary and other employment terms may depend on the candidate’s experience, qualifications, and applicable company policies.

Benefits

The provided job description does not specify a formal employee benefits package.

Candidates should refer to the company’s official employment terms for applicable benefits.

Full-Time Opportunity

This is a full-time Product Analyst opportunity with Precision Medicine Group.

The role provides an opportunity for early-career data and product professionals to work with complex US healthcare datasets and contribute to the development, validation, maintenance, and enhancement of healthcare data products.

Successful candidates will gain practical exposure to healthcare analytics, SQL, Power BI, Excel, product validation, data quality, requirements documentation, testing, machine-learning output validation, and cross-functional product development.

Who Can Apply?

This opportunity is suitable for professionals interested in:

• Product Analytics
• Data Analytics
• Healthcare Analytics
• US Healthcare Data
• Healthcare Claims Analytics
• Product Management Support
• Business Analysis
• SQL Analytics
• Power BI
• Healthcare Data Products
• Medical Claims
• Pharmacy Claims
• Patient-Level Analytics
• Payer Analytics
• Formulary Data
• Market Access Analytics
• Data Quality
• Product Validation
• Machine Learning Output Validation
• Healthcare Technology
• Remote Data Analyst Jobs
• Remote Product Analyst Jobs

How to Apply

Interested candidates can apply through Precision Medicine Group’s designated application process.

Applicants should ensure their resume clearly highlights:

• Bachelor’s degree in Engineering, Technology, Computer Science, or a related field
• 1–3 years of relevant professional experience
• Healthcare analytics or healthcare data experience
• US healthcare data experience
• SQL experience
• Power BI experience
• Microsoft Excel experience
• Experience analyzing complex datasets
• Data validation and reconciliation experience
• Root-cause analysis experience
• Product or business analysis experience
• Experience with medical or pharmacy claims where applicable
• Experience with payer, formulary, or market-access data where applicable
• Experience with Snowflake, Python, APIs, or JSON where applicable
• Experience with Jira or Azure DevOps where applicable
• Experience working in Agile environments where applicable
• Experience with HIPAA-compliant ecosystems where applicable

Candidates should also highlight examples of analytical projects, healthcare data investigations, product validation, dashboard development, testing, requirements documentation, or problem-solving initiatives where applicable.

Frequently Asked Questions

1. Is the Product Analyst job a Work From Home position?

Yes. The position is listed as Remote, India.

2. What company is hiring for this position?

The position is with Precision Medicine Group.

3. How much experience is required?

The minimum requirement is 1–3 years of experience in healthcare analytics, product analysis, business analysis, data analysis, or a related role.

4. What educational qualification is required?

Candidates should have a Bachelor’s degree in Engineering (B.E.) or Technology (B.Tech.). A degree in Computer Science or a related field is preferred.

5. Which technical skills are required?

The role specifically requires strong hands-on experience with SQL, Power BI, and Microsoft Excel.

6. Is healthcare experience required?

Yes. Candidates should have hands-on experience analyzing US healthcare data.

7. What types of healthcare data will the Product Analyst work with?

The role may involve medical claims, pharmacy claims, prescription data, payer data, formulary data, patient-level data, and other healthcare datasets across patient, claim, payer, plan, and related levels.

8. What healthcare data sources are mentioned?

The job description mentions sources such as McKesson Compile, Symphony PatientSource, Komodo Health, MMIT, and DRG Fingertip, or equivalent healthcare data sources.

9. Does the role involve SQL?

Yes. SQL is a core requirement and will be used for data extraction, profiling, reconciliation, validation, investigation, comparison, and impact analysis.

10. Does the role involve Power BI?

Yes. Strong hands-on experience with Power BI is specifically required.

11. Does the role involve Excel?

Yes. Strong hands-on experience with Microsoft Excel is specifically required.

12. Does the role involve machine learning?

Yes. The Product Analyst will support the validation of machine-learning-generated results. Familiarity with machine-learning output validation is listed as a preferred skill.

13. Does the role involve testing?

Yes. Responsibilities include functional testing, data validation, regression testing, defect investigation, and user acceptance testing.

14. Does the role involve product documentation?

Yes. The Product Analyst will create and maintain data dictionaries, business rules, requirements, test scenarios, and validation results.

15. Does the role involve client-facing work?

The role supports data delivery for clients subscribed to the product and requires collaboration with Engagement and Account teams. The provided description does not specify the exact extent of direct client interaction.

16. Does the role involve cross-functional collaboration?

Yes. The Product Analyst will work with Product Owners, Product Managers, Data Engineering, Machine Learning, Software Engineering, Engagement, and Account teams.

17. Is Snowflake required?

Snowflake is listed as a preferred skill rather than a minimum requirement.

18. Is Python required?

Python is listed as a preferred skill rather than a minimum requirement.

19. Is experience with Agile required?

Experience with Azure DevOps, Jira, or Agile product-development practices is listed as preferred.

20. Is HIPAA experience required?

Experience developing in a HIPAA-compliant ecosystem is listed under preferred qualifications.

21. Does the position require travel?

The role may require domestic and/or international travel, including overnight stays, of up to 5%.

22. What personal qualities are important for this role?

The position emphasizes strong communication, business judgment, strategic thinking, analytical skills, collaboration, solutions orientation, resilience, and the ability to work through obstacles.

23. Does the role involve data-quality analysis?

Yes. Identifying data-quality issues, coverage gaps, discrepancies, and product-improvement opportunities is a core part of the position.

24. Does the role involve root-cause analysis?

Yes. The Product Analyst is expected to investigate complex data and product issues, perform root-cause analysis, assess business impact, and recommend practical solutions.

25. What type of professional is this role suited for?

The role is suited to early-career professionals with experience in healthcare analytics, data analysis, product analysis, or business analysis who are comfortable working with complex US healthcare datasets and using SQL, Power BI, and Excel to investigate problems and support healthcare data products.