At a Glance
- Tasks: Analyse data, define business requirements, and support reporting initiatives in financial services.
- Company: Join a rapidly growing global workforce solutions company with a diverse culture.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic environment with excellent career advancement opportunities.
- Why this job: Make an impact in the financial sector while collaborating with top-tier teams.
- Qualifications: 6 years of experience in data analysis, strong SQL skills, and stakeholder management.
The predicted salary is between 60000 - 75000 £ per year.
Net2Source Inc. is one of the fastest growing diversity certified global workforce solutions companies with an unprecedented YoY growth of over 100% for the last 6 years working with Fortune 1000/Global 2000 across 34 countries and 5 continents including North America, South America, Europe, Asia, Australia, and the Middle East.
About the Role:
- Location: London, Paddington, UK
- Mode of Work: Hybrid (3 Days Onsite Per Week)
- Type of Hiring: Permanent
We are seeking a detail-oriented Data Analyst Business System Analyst with strong experience in Financial Services and Capital Markets. The role requires close collaboration with business stakeholders, product owners, and technical teams to analyse data, define business requirements, and translate them into clear functional and data specifications. The candidate will play a key role in supporting data platforms, reporting, and downstream analytics initiatives.
Mandatory Skills:
- BFS - Data Analysis
- SQL
- ETL
Required Skills Experience:
- 6 years of experience as Data Analyst, Business Analyst, or Business System Analyst
- Strong domain experience in Financial Services, Capital Markets, Asset Management, Investments, Trading, Reference Data, Client Data preferred
- Strong SQL skills with hands-on experience in data analysis and validation
- Experience working with data warehouses, ETL pipelines, and reporting platforms
- Solid understanding of data models, data flows, and integration concepts
- Experience working in Agile Scrum delivery environments
- Strong communication and stakeholder management skills
Key Responsibilities:
- Business Data Analysis: Partner with business stakeholders to understand business processes, data usage, and reporting needs within Capital Markets and Financial Services domains. Gather, analyse, and document business functional and data requirements. Translate business requirements into clear functional specs, data mappings, and user stories.
- Data Reporting: Perform data analysis using SQL and other analytical tools to validate data quality, completeness, and business rules. Support reporting and dashboard initiatives by working closely with BI and data engineering teams. Analyse source to target mappings and support reconciliation and validation activities.
- Stakeholder Delivery Support: Act as a bridge between business users and technical teams (Data Engineering, ETL, MDM, QA). Participate in design discussions, requirement walkthroughs, and UAT support. Support production issues, data investigations, and root cause analysis as needed.
Good to Have:
- Experience with MDM, Reference Data, or Client Data platforms
- Exposure to cloud data platforms (AWS)
- Experience supporting regulatory reporting or risk-related data workflows
Business Data Analyst employer: Net2Source (N2S)
Net2Source Inc. is an exceptional employer, offering a dynamic work environment in the heart of London, Paddington, where innovation meets collaboration. With a strong focus on employee growth and development, we provide ample opportunities for professional advancement within the thriving Financial Services sector. Our hybrid work model promotes a healthy work-life balance, while our commitment to diversity and inclusion ensures that every voice is valued and heard.
StudySmarter Expert Advice🤫
We think this is how you could land Business Data Analyst
✨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 Net2Source (N2S)!
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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 Business Data Analyst at Net2Source (N2S).
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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 Net2Source (N2S).
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We think you need these skills to ace Business Data Analyst
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 Net2Source (N2S), 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 Net2Source (N2S). 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 Net2Source (N2S)
✨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 Net2Source (N2S)!
✨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.
