At a Glance
- Tasks: Manage data migration and reporting transformation for AML/KYC governance programs.
- Company: Join a leading financial services firm focused on data integrity and operational excellence.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on continuous improvement and innovation.
- Why this job: Make a real impact in data governance while enhancing your analytical skills.
- Qualifications: 4-6 years in data management or related fields; strong analytical and communication skills.
The predicted salary is between 60750 - 74250 £ per year.
This position is responsible for managing end-to-end data migration, reporting transformation, and data governance initiatives supporting AML/KYC governance programs.
The role ensures data integrity, reporting continuity, and operational excellence by designing scalable data solutions and maintaining high-quality reporting environments.
The successful candidate will combine expertise in data engineering, migration strategy, reporting governance, and stakeholder management to support critical business and regulatory reporting requirements.,
- Maintain consistent reporting cadences for AML/KYC governance, including the preparation of Management Information (MI) reports covering risk exposure, trend analysis, and remediation progress for senior leadership.
- Define data mapping specifications, transformation rules, and migration strategies to support target-state business processes and reporting requirements.
- Perform data cleansing, data conversion, testing, reconciliation, and post-migration audits to ensure completeness, accuracy, consistency, and operational readiness.
- Ensure reporting and data management processes comply with regulatory, audit, security, and data governance requirements.
- Collaborate with business, technology, and project stakeholders to successfully deliver migration and reporting initiatives.
- Drive continuous improvement through automation, process optimization, and the adoption of best practices in data management, reporting, and governance.
- Monitor and improve data quality standards to support reliable business and regulatory reporting.
- 4 to 6+ years of experience in Data Management, Data Migration, Data Engineering, Reporting, Business Intelligence, or related analytical roles.
- Proven experience leading large-scale data migration and transformation initiatives within banking, financial services, or other highly regulated industries.
- Strong hands-on experience in data mapping, data conversion, reconciliation testing, migration validation, and data quality assurance.
- Solid understanding of data governance frameworks, data quality management, and reporting controls.
- Experience in reporting, dashboard development, process automation, and management information reporting.
- Exposure to AML/KYC, regulatory reporting, compliance, or risk management functions is highly desirable., Bachelor's degree in Computer Science, Information Technology, Data Science, Information Systems, Engineering, or a related discipline.
- Strong understanding of database concepts, data modeling, data architecture, and data management principles.
- Proficiency in data visualization and reporting tools, particularly Power BI.
- Advanced skills in Microsoft Excel and Power Point.
- Strong analytical, problem-solving, and decision-making capabilities.
- Excellent stakeholder management, communication, and presentation skills.
- Strong project coordination, business analysis, and requirements management expertise.
- Ability to work effectively in cross-functional teams and manage multiple priorities in a fast-paced environment.
Bus. Proc. & Strat. Senior Analyst in London employer: NTT DATA
NTT DATA is an exceptional employer that values its employees by fostering a collaborative and innovative work culture in the heart of London. With a strong emphasis on professional development, we offer numerous growth opportunities and training programs to enhance your skills in desktop support and customer service. Join us to be part of a dynamic team where your contributions are recognised and rewarded, making a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Bus. Proc. & Strat. Senior Analyst in London
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We think you need these skills to ace Bus. Proc. & Strat. Senior 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, 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. 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
✨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!
✨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.
