Senior Specialist, Data Analyst

This job is with MSD, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Job Description
R383383 Senior Specialist, Data Analyst
The Opportunity
Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.
Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products.
Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats.
Our Technology Centres focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our company's IT operating model, Tech Centres are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy.
A focused group of leaders in each Tech Centre helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centres.

Role Overview
We are looking for a highly skilled  Senior Business & Data Analyst  to lead the analysis, design, and lifecycle development of data products within the IT Data Domain. In this role, you will partner closely with Product Owners, Data Engineers, Domain SMEs, and stakeholders across the organization to define how data should be structured, transformed, and delivered to create value.
You will analyze complex IT operational and service‑management datasets, design transformation logic, and articulate data requirements that pipeline engineers implement using DBT and modern data stacks. You will also act as a senior voice in the domain-challenging assumptions, influencing design decisions, shaping data standards, and championing high‑quality, meaningful data.
The ideal candidate blends strong analytical depth, data modeling skills, domain expertise, and leadership behaviors such as strategic thinking, active listening, challenging the status quo, and articulating data value clearly.
What will you do in this role
Data Product Analysis & Design   Lead the analysis and definition of  data products  across the IT Data Domain, shaping product scope, critical data elements, and business rules.
Translate domain needs into  clear data models, semantic definitions, and transformation logic  consumed by data pipeline engineers (DBT), design and built prototypes proving the value prior the industrialization.
Analyze source systems and upstream IT process data (ITSM, IT Operations, Monitoring, CMDB, etc.) to determine feasibility, linkage, grain, and relationships.
Create detailed logic specifications, including join rules, derivations, filters, and quality expectations.
Ensure data models meet business objectives around availability, reliability, observability, and usability.
Data Domain Ownership & Standards    Act as a senior steward of the IT Data Domain-ensuring definitions, business terms, lineage, and transformations are consistent and understandable.
Contribute to data product governance, metadata quality, and domain‑level documentation aligned with modern SDLC and DQ practices.
Facilitate alignment on domain conventions, data design decisions, and prioritization across teams.
Stakeholder Engagement & Requirements Leadership    Engage business and technical stakeholders to elicit, refine, and challenge requirements for new and existing data…