Senior Analyst, Brand Data Enablement, Data Integrations Hyderabad

Senior Analyst, Brand Data Enablement, Data Integrations Hyderabad

03 Aug
|
Novartis
|
Hyderabad

03 Aug

Novartis

Hyderabad

Job Description Summary
We are seeking a Senior Analyst, Brand Data Enablement to support the migration, integration, and continuity of brand-level data enablement deliverables as part of a large-scale acquisition and platform change programs. This role ensures that the brand data products, operational datasets, and performance reporting pipelines are assessed, translated, and re-established within the target organization's / target platform’s data and infrastructure ecosystem — without disruption to brand teams' decision-making capabilities.

The individual will work across brand operations, data engineering, and analytics functions from both entities, ensuring that commercial datasets, brand KPI frameworks, and enablement workflows are mapped, migrated, and validated through evolving infrastructure landscapes. This role requires a blend of data enablement expertise, pharma commercial domain knowledge, and the structured execution discipline essential to data & platform integration programs.

Job Description
Location: Hyderabad #Hybrid
Key Responsibilities




Brand Data Discovery & Inventory: Catalog all brand-level data enablement deliverables — including datasets, KPI outputs, recurring reports, SOPs, and operational workflows. Document data sources, refresh cadence, business owners, downstream consumers, and quality standards for each deliverable.
Data Enablement Migration: Design, develop, and maintain data enablement solutions that translate brand performance datasets into the target organization's infrastructure. Ensure that commercial data feeds (e.g., prescription data, promotional activity, patient-level data, specialty pharmacy, affiliations) are re-mapped and re-connected on the target platform with full fidelity.
Cross-Entity Dataset Reconciliation: Map commercial data sources to the target organization's equivalent datasets (e.g., patient-level data, prescription audits, promotional feeds, third-party syndicated data). Identify gaps, overlaps, and d

📌 Senior Analyst, Brand Data Enablement, Data Integrations Hyderabad
🏢 Novartis
📍 Hyderabad

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