Tech Mahindra
Business Analyst
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About Us:
Tech Mahindra offers technology consulting and digital solutions to global enterprises across industries, enabling transformative scale at unparalleled speed. With 149k+ professionals across 90+ countries helping 1100+ clients, TechM provides a full spectrum of services including consulting, information technology, enterprise applications, business process services, engineering services, network services, customer experience & design services, AI & analytics, and cloud & infrastructure services. It is the first Indian company in the world to have been awarded the Sustainable Markets Initiative’s Terra Carta Seal, in recognition of actively leading the charge to create a climate and nature-positive future. Tech Mahindra (NSE: TECHM) is part of the Mahindra Group, founded in 1945, one of the largest and most admired multinational federations of companies.
Job Details
Role: Business Analyst
Experience: 8 to 12 years
Salary range: 60,000 GBP / Annum
Job location: Stevenage, UK
Work model: 3 days per week work from client office
Note: Visa sponsorship is not available for this role.
Role Overview
We are seeking an experienced Business Analyst to join a large-scale R&D data engagement with a leading global pharmaceutical company, focused on the analysis, mapping, and business interpretation of raw scientific instrument and equipment data. The role sits at the intersection of laboratory science and business/data analysis — translating raw outputs from instruments such as plate readers, Raman spectrometers, and cell counters into structured, business-relevant insights, mappings, and documentation that support downstream data and analytics initiatives across the R&D function.
This is a domain-rich role suited to a senior Business Analyst who understands laboratory/instrument data generation processes and can bridge the gap between scientific/technical data producers and business/data teams consuming that data.
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Key Responsibilities
- Analyse raw instrument and equipment data (e.g., plate readers, Raman instruments, cell counters, and similar lab equipment) to understand data structure, format, and business meaning.
- Perform business analysis and requirements gathering with scientists, lab operations teams, and data engineering/architecture teams to define how instrument data should be interpreted, structured, and used.
- Create and maintain data mapping documentation — mapping raw instrument outputs to standardised business/data models, taxonomies, or ontologies used across R&D.
- Document business rules, transformation logic, and data lineage from instrument source to downstream systems (e.g., data lakes, analytics platforms).
- Collaborate with data architects, data engineers, and scientists to ensure business context is accurately reflected in technical data models.
- Identify data quality issues, gaps, or inconsistencies in instrument data and work with stakeholders to define resolution approaches.
- Support the creation of process flows, data dictionaries, and business glossaries specific to instrument/equipment data domains.
- Translate complex scientific/instrument outputs into clear business requirements and user stories for technical delivery teams, managed and tracked via Azure DevOps (ADO).
- Engage with cross-functional stakeholders (lab scientists, informatics teams, data governance, IT) to ensure alignment between scientific intent and data/business outcomes.
- Support UAT (User Acceptance Testing) and validation of data mappings and business rules against real instrument data.
Required Skills & Experience
- 8+ years of experience as a Business Analyst, ideally within a life sciences, pharmaceutical, or scientific R&D environment.
- Familiarity with laboratory instruments and equipment data — exposure to plate readers, Raman spectroscopy, cell counters, or similar analytical instruments is highly desirable.
- Strong track record in data mapping, business analysis, and requirements documentation practices.
- Ability to interpret raw scientific/instrument data outputs and translate them into structured business logic.
- Experience working with data governance, data quality, or data architecture teams in a large enterprise setting.
- Strong stakeholder management skills — comfortable engaging both scientific/technical SMEs and senior business/data stakeholders.
- Excellent documentation skills — data dictionaries, business glossaries, process/data flow diagrams, mapping specifications.
- Hands-on experience with Azure DevOps (ADO) for Agile delivery — backlog, user stories, sprint tracking.
- Understanding of pharma R&D processes (e.g., experimental workflows, lab data lifecycle) is a strong advantage.
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Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions.
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