Data Analyst

Tata Consultancy Services
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

If you need support in completing the application or if you require a different format of this document, please get in touch withator callTCS London Office numberwith the subject line: “Application Support Request”.


Role:Data Analyst

Job Type:Permanent

Location:Onsite (London)


Careers at TCS: It means more


TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership.


  • Be part of an exciting team where you will be challenged every day.
  • Work closely with the range of teams within the business to bring products to life.
  • Work with customers and identify opportunities to support their strategy and improve their processes across functions.


The Role:


As aReference and Semantic Datayou will design, analyse and reference data structures to support organizational data needs. In this role you will maintain and govern high-quality reference data, ensuring accuracy, consistency, and compliance. You will collaborate with teams to align reference and master data strategies, focusing on enhanced data integration and governance.


Key responsibilities


  • Semantic and Ontology Expertise:
  • Analyze , Develop and implement ontology-driven solutions to enhance data integration and semantic interoperability across systems.
  • Semantic techniques to enrich reference data with contextual knowledge relevant to the life sciences and pharma industry.
  • Ensure adherence to industry standards for ontologies and semantic frameworks.
  • Expertise in ontology modeling, including classes, properties, axioms & instances.

Tool Proficiency:

  • Leverage tools like Ataccama, SciBite, TIBCO EBX, or similar to design and manage reference data solutions.
  • Evaluate and recommend tools and technologies to advance RDM and semantic capabilities.
  • Collaboration and Agile Execution:
  • Work in a cross-functional Agile team to deliver iterative solutions aligned with organizational goals. (SAFe knowledge preferred)
  • Contribute to the creation of data governance roadmaps and influence long-term data strategy.
  • Collaborate with business stakeholders to gather requirements and translate them into scalable solutions.
  • Roadmap Development and Solutioning:
  • Assist in defining the strategic roadmap for reference data and semantic solutions.
  • Propose innovative approaches to data management challenges, driving efficiency and value generation.
  • Getting in touch with Business for their reference data requirements · Reviewing the data shared by business and making changes to the definitions/ terms · Loading the data to the reference management system. · Making changes to existing reference lists ·
  • Customer engagement with strong communication, presentation, and articulation skills. ·


Key skills/knowledge/experience:


  • Experience as Data curator/ Data analyst with hands on experience in Pharma / Ontologies and knowledge of reference master data management.
  • Experience with tools such as Ataccama, SciBite, Reltio RDM, CENTree TibCo EBX, etc.
  • Knowledge of FAIR (Findable, Accessible, Interoperable, and Reusable) data principles.
  • Semantic and Ontologies Knowledge.
  • Reference Data Management and Data Governance knowledge.
  • Experience with SAFe Agile/Agile way of working.
  • Hands on experience with Reference data management tools such as Ataccama, SciBite, Reltio RDM, TibCo EBX, etc.
  • Attention to detail.
  • Experience dealing with stakeholders from diverse backgrounds across both business and tech.
  • Experience contributing to roadmap and solutioning.


Rewards & Benefits


TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network.


Diversity, Inclusion and Wellbeing


Tata Consultancy Services UK&I is committed to meeting the accessibility needs of all individuals in accordance with the UK Equality Act 2010 and the UK Human Rights Act 1998.


We believe in building and sustaining a culture of equity and belonging where everyone can thrive. Our diversity and inclusion motto is ‘Inclusion without Exception’. Our continued commitment to Culture and Diversity is reflected across our workforce implemented through equitable workplace policies and processes.


You’ll find a welcoming culture and many internal volunteering and social networks to join (these are optional). Our diversity, inclusion and social activities include 12 employee networks such as gender diversity, LGBTQIA+ & Allies, mental health, disability & neurodiversity inclusion and many more, as well as health & wellness initiatives and sports events and we sponsor the London Marathon.


We welcome and embrace diversity in race, nationality, ethnicity, disability, neurodiversity, gender identity, age, physical ability, gender reassignment, sexual orientation. We are a disability inclusive employer and encourage disabled people to apply for this role.


If you are an applicant who needs any adjustments to the application process or interview, please contact usatwith the subject line: “Adjustment Request” or callTCS London Officeto request an adjustment. We welcome requests prior to you completing the application and at any stage of the recruitment process.


Next Steps

Due to a high volume of applications, we will be unable to contact each applicant individually on the status of their application. If you have not received a direct response within 30 days, then it should be deemed unsuccessful on this occasion.


Join us and do more of what matters. Apply online now.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.