At a Glance
- Tasks: Analyse data to drive business insights and collaborate with diverse teams on impactful projects.
- Company: Join a leading Data & AI practice focused on innovation and collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with extensive career development opportunities in a collaborative environment.
- Why this job: Be at the forefront of data-driven decision-making in various exciting sectors.
- Qualifications: 5+ years in data analysis, strong SQL skills, and a passion for storytelling with data.
The predicted salary is between 50000 - 60000 £ per year.
We are looking for someone with a strong background in the data landscape and demonstrable experience of delivering data projects across Data Product Ownership, Data Analysis, and supporting consulting-led engagements across a variety of sectors including telecoms and media, banking, insurance, retail, energy & utilities, and public sector.
- 5+ years of experience in data, consulting, analytics or a related function involving quantitative data analysis to solve problems.
- Comfortable developing and shaping the project vision.
- The ability to demonstrate core consulting values.
- Ability to operate in demanding situations whilst still having relentless drive to deliver with enthusiasm.
- Technical expertise regarding data models, database design development, data mining and segmentation techniques.
- Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
- Proficiency in using query languages such as SQL, Hive, Pig, Python and R.
- Expertise with data visualisation tools such as PowerBI, Qlik and Tableau.
- Great project management skills and the ability to bring the abstract into focus.
- Adept at queries, report writing and presenting findings.
- Data-oriented personality, great communication skills, and an excellent eye for detail.
- Combination of technical, creative and business consulting experience.
- Must be able to interface with and manage relationships with business people and technologists at senior levels showing competence in both areas.
- Extensive experience in either, or all, of the Telco-Media, Insurance, or Public Sectors required.
- BS in Mathematics, Economics, Computer Science, Information Management or Statistics is a plus.
We are seeking a pragmatic, detail-oriented and experienced Data Business Analyst to join our growing Data & AI practice. The ideal person for this role loves to collaborate with other Data professionals, engineers, and business or operations experts to understand and address their data needs.
You will share a passion for Data and how it can be used to develop Data Driven Businesses, innovative ideas and thrive in an environment that embraces collaboration with clients and internal teams to scope, plan and execute projects on time and within budget.
You'll be responsible for collecting and analysing business use cases, collecting requirements and relevant data that can be translated into insights to build client data products and business solutions; as well as inform their product and service development roadmaps.
You will be well experienced in managing and analysing large sets of data, maintaining data integrity and communicating relevant insights to business stakeholders.
You will be expected to work with cross-functional client staff and stakeholders in a variety of contexts, covering multiple sectors, including telecoms and media, banking, insurance, and public sector.
- Engage with client stakeholders to clarify goals and objectives and ensure alignment.
- Collate detailed requirements to feed into data products and solutions.
- Conduct detailed data analysis, covering data content, lineage and governance – to meet business requirements and outcomes.
- Data Storytelling.
- Acquiring data from primary or secondary data sources.
- Interpreting data, analysing results using visualisations.
- Using data to answer key questions about the business.
- Delivering takeaways from data.
- Creating reports and documentation to demonstrate the value of the work delivered.
- Deliver data projects with/for our clients.
- Remain up to date with the growing applications of Data Analytics and ensure that this knowledge is made available to the wider Data & Intelligence practice.
Data Business Analyst in London employer: NTT DATA
Join our dynamic team as a Data Business Analyst, where you will thrive in a collaborative environment that values innovation and data-driven decision-making. Our company offers a supportive work culture with ample opportunities for professional growth, ensuring you can develop your skills while working on impactful projects across diverse sectors. Located in a vibrant area, we provide a unique advantage of engaging with top-tier clients and industry leaders, making your contributions meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Data Business Analyst in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the data field. Attend meetups, webinars, or industry events to meet potential employers and fellow data enthusiasts. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, analyses, and visualisations. This is your chance to demonstrate your expertise in SQL, Python, and data storytelling. Make it easy for employers to see what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common data-related questions. Brush up on your technical knowledge and be ready to discuss your experience with data models and analytics tools. Remember, confidence is key, so own your expertise!
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for talented Data Business Analysts like you. Don’t miss out on the chance to join our team and make an impact in the data landscape!
We think you need these skills to ace Data Business Analyst in London
Some tips for your application 🫡
Show Your Data Passion:When writing your application, let your enthusiasm for data shine through! Share specific examples of how you've used data to drive business decisions or solve problems. We love seeing candidates who are genuinely excited about the impact of data.
Tailor Your Experience:Make sure to highlight your relevant experience in data analysis and project management. Use keywords from the job description to demonstrate that you understand what we're looking for. This helps us see how your background aligns with our needs.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on delivering your message effectively. Remember, we want to understand your skills and experiences without wading through unnecessary fluff!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you're keen on joining the StudySmarter team!
How to prepare for a job interview at NTT DATA
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data models, database design, and analytics tools like SQL, Python, and PowerBI. Be ready to discuss specific projects where you've used these skills to solve real-world problems.
✨Showcase Your Consulting Skills
Prepare examples that highlight your ability to manage relationships with both business stakeholders and technical teams. Think about times when you’ve successfully navigated demanding situations while delivering results, and be ready to share those stories.
✨Master the Art of Data Storytelling
Practice how you present your findings. Use visualisations to make your insights clear and compelling. Be prepared to explain how your analysis can drive business decisions and add value to the client’s objectives.
✨Demonstrate Your Project Management Prowess
Be ready to discuss your approach to project management. Highlight your experience in scoping, planning, and executing data projects on time and within budget. Show that you can bring abstract ideas into focus and deliver tangible results.
