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Senior Data Analyst – SQL
YASH Technologies. Map current-state clinical data review processes and define future-state AI-assisted workflows, including reviewer activities, decision points, exceptions, and human-agent handoffs .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in mapping clinical data review processes and defining AI-assisted workflows, with strong capabilities in requirements gathering, process design, and stakeholder collaboration. Proficient in data analysis and translating business rules into implementable solutions within Agile environments.
Highest-signal resume keywords
Business Analysis ExperienceRequirements ElicitationProcess MappingData AnalysisAgile Delivery
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Requirements GatheringProcess DesignUser Story DevelopmentBusiness Rules DefinitionAcceptance Criteria Creation
Soft Skills
Analytical SkillsProblem-SolvingWritten CommunicationVerbal Communication
Tools & Technologies
ExcelSQLDatabricksGenie
Industry Keywords
Clinical Data ReviewAI-Assisted WorkflowsStakeholder CollaborationUser Acceptance TestingHuman-in-the-Loop Requirements
Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- Map current-state clinical data review processes and define future-state AI-assisted workflows, including reviewer activities, decision points, exceptions, and human-agent handoffs
- Facilitate requirements gathering, process design workshops, and stakeholder discussions with business teams, clinical SMEs, and product teams
- Develop functional requirements, user journeys, business rules, user stories, acceptance criteria, and maintain end-to-end traceability
- Analyze clinical review requirements, underlying data/listings, review logic, triggers, exceptions, and reviewer actions to support solution design
- Translate clinical review judgment and business rules into implementable AI-assisted workflow requirements
- Define human-in-the-loop requirements, including AI recommendations, reviewer validation, approvals, and escalation paths
- Perform exploratory data analysis using Excel, SQL, and Databricks/Genie
- Collaborate with UX, Data, AI, and Engineering teams to translate business requirements into user experiences and technical solutions
- Develop business-focused test scenarios and support UAT activities
- Prepare workshop materials, requirements documents, and presentations
- Manage dependencies, assumptions, risks, and open questions
Requirements
What you’ll need- 4–6 years of Business Analysis experience supporting complex, data-driven, or workflow-oriented solutions
- Strong expertise in requirements elicitation, process mapping, workshop facilitation, user story development, business rules definition, and acceptance criteria creation
- Hands-on experience with Excel, SQL, and data analysis for business requirements validation
- Strong analytical, problem-solving, written, and verbal communication skills
- Experience working within Agile delivery environments
- Ability to collaborate effectively with business stakeholders, clinical SMEs, UX teams, and technical teams
Benefits
Comp & perks- Flexible work arrangements
- Career-oriented skilling models
- Continuous learning, unlearning, and relearning
- Stable employment
- Inclusive team environment
- Ethical corporate culture
- Support needed for realization of business goals