At a Glance
- Tasks: Engage with clients, analyse data, and deliver impactful insights through storytelling.
- Company: Join a diverse and innovative team at NTT DATA.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Embrace a dynamic work environment with a commitment to diversity and equal opportunity.
- Why this job: Make a real difference by transforming data into actionable business strategies.
- Qualifications: 5+ years in data analysis, strong analytical skills, and proficiency in SQL and visualisation tools.
The predicted salary is between 55000 - 70000 £ per year.
Responsibilities
- 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.
- Acquire data from primary or secondary data sources.
- Interpret data and analyse results using visualisations.
- Use data to answer key business questions.
- Deliver takeaways from data.
- Create reports and documentation to demonstrate the value of the work delivered.
- Deliver data projects for our clients.
- Remain up to date with the growing applications of Data Analytics and make that knowledge available to the wider Data & Intelligence practice.
- Keep knowledge current with data product offerings, propositions and solutions.
Key Competencies
- 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.
- Demonstrate core consulting values.
- Operate in demanding situations while maintaining drive to deliver with enthusiasm.
- Technical expertise in data models, database design, data mining and segmentation techniques.
- Strong analytical skills with attention to detail and accuracy.
- Proficiency in query languages such as SQL, Hive, Pig, Python and R.
- Expertise with data visualisation tools such as PowerBI, Qlik and Tableau.
- Excellent project management skills and ability to translate abstract ideas into focus.
- Adept at queries, report writing and presenting findings.
- Data-oriented personality with great communication skills and an eye for detail.
- Combination of technical, creative and business consulting experience.
- Ability to interface with and manage relationships with business people and technologists at senior levels showing competence in both areas.
- Extensive experience in one or more of the Telco‑Media, Insurance, or Public Sectors.
- BS in Mathematics, Economics, Computer Science, Information Management or Statistics is a plus.
Data Business Analyst in London employer: NTT DATA, Inc.
At NTT DATA, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and a diverse environment that values every individual's contribution. Located in a vibrant area, our team enjoys not only competitive benefits but also the chance to engage in meaningful projects that drive real impact for our clients.
StudySmarter Expert Advice🤫
We think this is how you could land Data Business Analyst in London
✨Get Involved in Data Science Meetups
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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 NTT DATA, Inc..
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We think you need these skills to ace Data Business Analyst in London
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 NTT DATA, Inc., 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 NTT DATA, Inc.. 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 NTT DATA, Inc.
✨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 NTT DATA, Inc.!
✨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.
