Project Leader

Business Analyst

Job Location: Vizag, India

Recommended Experience: 58 years

Position Summary

Bridge commercial business requirements and Vizag-based delivery execution. The role captures requirements, defines functional specifications, documents business rules, supports UAT, manages backlog clarity and ensures that engineering, BI, DQ and AI teams deliver business-aligned outcomes for commercial pharma datasets.

Business / Program Context

The role is part of a Vizag-based delivery capability supporting Commercial Pharma datasets across global markets. The work may include platform operations, data engineering, data quality, reporting, AI enablement, release governance and stakeholder support for enterprise commercial data products. The role is not limited to Japan-specific datasets; Japan market familiarity may be useful but is not a mandatory baseline requirement for most positions.

Job Responsibilities

• Engage business and technology stakeholders to gather, clarify and prioritize requirements.
• Prepare BRDs, FRDs, user stories, acceptance criteria, process flows and data requirement documents.
• Document commercial KPI definitions, business rules, reporting logic, data mappings and UAT scenarios.
• Support backlog grooming, sprint planning, demos, UAT sign-offs and business readiness activities.
• Coordinate between business users, data engineers, BI engineers, DQ teams, QA and service managers.
• Perform impact assessment for source changes, KPI changes, data quality issues and enhancement requests.
• Maintain documentation including glossary, STTMs, requirement traceability and release notes.
• Work as part of a Vizag-based delivery team supporting Commercial Pharma datasets and global commercial data stakeholders.
• Collaborate with business, technology, governance, quality and offshore/onshore delivery teams across time zones.
• Follow Agile delivery, SDLC, documentation, release, validation, access-control and data-governance standards.
• Contribute to knowledge management, reusable assets, SOPs, runbooks and operational excellence initiatives.
• Maintain strong communication discipline, including status updates, risk identification, issue escalation and timely stakeholder follow-through.

Required Work Experience

• 58 years of relevant experience aligned to the role and seniority level.
• Prior experience in pharmaceutical, life sciences, healthcare analytics, commercial data platforms or enterprise data programs.
• Experience working in a global delivery model with structured governance, documentation, SLAs and stakeholder communication.
• Ability to work from Vizag and collaborate effectively with India, global and client teams.

Technical / Functional Skills

• Business analysis
• Pharma commercial data understanding
• Requirements documentation
• SQL analysis desirable
• UAT and stakeholder management
• Agile delivery
• KPI and reporting logic
• Data governance awareness

Commercial Pharma Dataset Exposure

• Pharmaceutical commercial data platforms
• Sales, prescription, claims, CRM and omnichannel datasets
• Customer master, HCP/HCO, product master, territory and alignment datasets
• Commercial KPIs, field force effectiveness, market share and promotional effectiveness
• Data quality, reconciliation, lineage, metadata and controlled release processes

Desirable Skills

• Experience supporting global pharma companies or commercial data programs.
• Exposure to Eisai-like commercial operating models, field reporting, sales operations and analytics use cases.
• Japan market dataset exposure is preferred but not mandatory unless the assignment requires direct Japan business engagement.
• Strong written and verbal communication skills; ability to explain data, risks, defects and business impact clearly.
• Certifications in Databricks, Informatica IDMC, Azure/AWS, Scrum, ITIL, Tableau/Power BI or AI/ML are preferred depending on role.

Success Measures / KPIs

• Clear requirements, reduced ambiguity, faster UAT sign-off and improved alignment between business needs and delivery outputs.

Indicative 30 / 60 / 90 Day Expectations

1. First 30 days: complete onboarding, understand commercial data landscape, delivery processes, documentation standards and role-specific tools.
2. First 60 days: independently contribute to assigned workstreams, support issue resolution, produce required artifacts and participate in governance forums.
3. First 90 days: demonstrate measurable ownership, improve delivery quality, identify improvement opportunities and support stable operations or project outcomes.