At a Glance
- Tasks: Design and develop enterprise data models for analytics and AI initiatives.
- Company: Global data and AI company with a focus on innovation and collaboration.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Join a diverse team of over 60,000 professionals across six continents.
- Why this job: Make an impact by transforming data into actionable insights for leading corporations.
- Qualifications: Strong technical expertise in data modelling and excellent stakeholder management skills.
The predicted salary is between 72000 - 88000 £ per year.
All the relevant skills, qualifications and experience that a successful applicant will need are listed in the following description.
EXL (NASDAQ: EXLS) is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. Bringing together domain expertise with robust data, powerful analytics, cloud and AI to create agile, scalable solutions and execute complex operations for the world's leading corporations.
EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect, creating value from data to ensure faster decision-making and transforming operating models. Key industries include Insurance, Healthcare, Banking and Financial Services, Media, and Retail, among others. Headquartered in New York, our team is over 60,000 strong, with more than 50 offices spanning six continents.
As a Senior Data Modeller, you will play a key role in designing, developing and maintaining enterprise data models that enable analytics, reporting, AI, machine learning and business intelligence initiatives. You will translate complex business requirements into scalable, high-quality data solutions, ensuring data is structured, governed and optimised for performance across the organisation.
You will be responsible for developing conceptual, logical and physical data models, defining source-to-target mappings, and supporting the implementation of relational and NoSQL database solutions, operational data stores (ODS), data marts and data lakes. Working closely with business and technical stakeholders, you will ensure data architecture aligns with enterprise standards, governance frameworks and best practices.
You will also drive improvements to existing data architecture, optimise data performance, and contribute to the definition of data modelling standards, automation and testing strategies. Success in this role requires strong technical expertise, excellent stakeholder management skills and the ability to work effectively both independently and within cross-functional teams.
We are looking for someone who demonstrates leadership through innovation, critical thinking, collaboration and knowledge sharing. You will be a proactive problem solver with strong communication skills, a positive mindset, excellent time management and a passion for delivering robust, scalable data solutions.
As part of your duties, you will be responsible for:
- Translate business requirements into scalable data models that support long-term business and technology objectives.
- Design, develop and maintain conceptual, logical and physical data models.
Senior Data Modeller in Tower employer: EXL Service
EXL is an exceptional employer that prioritises innovation, collaboration, and employee growth within a dynamic work culture. Located in Manchester, the role of Team Manager offers a unique opportunity to lead a dedicated team in the energy sector, contributing to a sustainable future while benefiting from competitive packages, professional development initiatives, and a commitment to diversity and inclusion. With a focus on continuous improvement and a supportive environment, EXL empowers its employees to thrive and make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Modeller in Tower
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like EXL Service!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Modeller at EXL Service.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like EXL Service.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Modeller at EXL Service, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Modeller in Tower
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at EXL Service, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at EXL Service. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at EXL Service
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at EXL Service!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
