Data Analyst

Job Mode : Remote(India Only).

Job type : Full time. Tools & Technologies:

Primary • SQL (mandatory)

• Advanced Excel. Preferred • Azure Data bricks, Python (for data analysis and validation) • BI tools (Power BI, Tableau) • Documentation/versioning tools (Confluence, Git)

Pls find the Methodology JD and following skills we are looking for: 1. Analytical Methodology & Design Strong experience in defining analytical methodologies, including: o Measure definitions o Attribution logic o Inclusion/exclusion criteria o Numerator and denominator construction • Ability to clearly articulate the rationale (“why”) behind methodology decisions • Experience designing and interpreting performance, quality, and utilization metrics

2. Data Validation & Quality Assurance Proven ability to review, validate, and reconcile analytic methodology by: o Comparing documented logic with implemented code o Ensuring alignment across specifications, documentation, and outputs • Experience identifying gaps, discrepancies, and inconsistencies in data or methodology

3. Data Understanding & Conceptual Knowledge Strong understanding of structured datasets such as: o Claims or transactional data o Encounter-level or event-level records • Familiarity with key analytics concepts like: o Cost, utilization, and performance metrics o Risk adjustment principles (basic to intermediate level) o Benchmarking and comparative analytics

4. Documentation & Governance(Can skip this) Hands-on experience creating and maintaining structured methodology documentation, including: o Concept specifications o Data mapping/dictionary definitions o Version-controlled updates • Ability to track and explain methodology changes with a focus on transparency and defensibility

5. SQL & Data Querying (Mandatory Technical Skill) Strong hands-on experience with: o SQL for data extraction, transformation, and validation o Writing complex queries to validate outputs against defined logic • Ability to independently validate methodology outputs, even in non-automated environments

6. Statistical & Analytical Skills(Good to have) Working knowledge of: o Measure construction techniques o Basic statistical concepts and distributions o Stratification and segmentation approaches • Ability to interpret model outputs and o

perational metrics to inform decisions 7. Data Investigation & Problem Solving Experience supporting analytical investigations, including: o Root cause analysis of data discrepancies o Validation of outputs across systems o Collaboration with cross-functional teams to resolve issues before release

8. Benchmarking & Performance Measurement Ability to define and apply benchmarking approaches: o Selecting appropriate comparison datasets o Evaluating performance across peer groups or cohorts

9. Communication & Stakeholder Management Ability to explain complex analytical methodologies to: o Non-technical stakeholders o Cross-functional teams • Comfortable presenting findings and defending methodology decisions in discussions and reviews

10. Adaptability & Continuous Updates Experience working in environments with: o Frequent updates to methodologies or standards o Need for traceability and auditability • Ability to quickly incorporate updates into existing analytical frameworks