At a Glance
- Tasks: Deliver impactful data analysis and automate reporting processes for strategic decision-making.
- Company: Join a leading business and technology consultancy with a global presence.
- Benefits: Enjoy career coaching, mentoring, and opportunities to work abroad.
- Other info: Collaborate with diverse teams and contribute to knowledge sharing while growing your career.
- Why this job: Make a real impact by solving complex problems with data in a dynamic environment.
- Qualifications: 5+ years of data analytics experience and strong technical skills in SQL and Python.
The predicted salary is between 59400 - 72600 £ per year.
We are seeking a Senior Data Analyst to join our client's Data & Analytics team. This role is ideal for someone with a strong technical foundation, a passion for solving complex problems, and a deep understanding of financial and client behavioural data. You will be responsible for delivering high-impact data analysis, automating reporting processes, and implementing scalable solutions that support strategic decision-making across financial advisory services that support their UK and European businesses. This role is a 12 month contract, operating on a hybrid basis from the client's London office.
Key Responsibilities
- Executive level story telling & reporting to influence strategic decisions.
- Perform advanced data analysis to uncover insights across financial, sales, and client behavioral datasets.
- Design and implement scalable data solutions and automated reporting workflows.
- Develop models and dashboards that track client engagement, sales performance, and behavioral trends.
- Collaborate with stakeholders to gather requirements and translate business needs into technical solutions.
- Ensure data quality through validation, reconciliation, and transformation of structured and unstructured data.
- Document processes and create user-friendly guides for automated tools and reports.
- Mentor junior analysts and contribute to team knowledge sharing.
About You
- Minimum: 5+ years of data analytics experience in investment management, finance, or a related domain.
- A quantitative degree (e.g., Mathematics, Statistics, Computer Science, Engineering, Finance) is a plus.
- Solid understanding of financial instruments, portfolio analytics, and performance reporting is a plus.
- Ability to translate business needs into technical solutions.
Technical Skills
- Expert Proficiency in SQL and Python for managing unstructured data, cleaning, visualisation, storytelling at executive level, statistical analysis & model development.
- Expert level Tableau and PowerBI for seamless storytelling, visualisations & user experience at executive level.
- Strong critical thinking and problem-solving abilities.
- Ability to assess the full scope of a problem and develop scalable, maintainable solutions.
- Focus on best practices, code efficiency, and pipeline optimization.
- Experience in data quality assurance, validation, and reconciliation.
- Ability to work with unstructured or semi-structured data and transform it into usable formats.
- Experience analyzing client behavioral data, including segmentation, engagement metrics, and conversion analysis.
Collaboration and Communication
- Strong stakeholder collaboration skills to gather requirements and align on deliverables.
- Effective communication to explain technical solutions to non-technical stakeholders.
- Ability to document processes and create user-friendly guides for automated tools.
- Experience working in cross-functional teams (e.g., Finance, Technology, Sales, Marketing, Data).
Additional Highly Desirable Attributes
- Develop SQL/Python scripts to automatically standardize and format complex, unstructured Excel files into clean, report-ready datasets.
- Replace manual reporting processes with scalable, automated workflows that improve accuracy and efficiency for the finance team.
- Experience with Agile methodologies or working in a product-oriented environment.
- Familiarity with data governance, metadata management, and compliance.
- Ability to mentor junior analysts or contribute to team knowledge sharing.
- Comfortable working in a fast-paced, high-stakes environment with tight deadlines.
About Us
We are a business and technology consultancy and one of the UK's leading employers, recruiting the brightest talent to become the innovators of tomorrow. We have centres across Europe, North America and Asia-Pacific, and a global workforce of over 2,500 Employees. FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning employer and is listed on the FTSE4Good Index.
Diversity and Inclusion
FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws.
Career coaching, mentoring and access to upskilling throughout your entire FDM career. Assignments with global companies and opportunities to work abroad. Opportunity to re-skill and up-skill into new areas, develop non-linear career paths and build a skillset within your field.
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We think this is how you could land Senior Data Analyst
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We think you need these skills to ace Senior 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!
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Craft a Tailored Cover Letter:For a full-time role at The BDPN, 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 The BDPN. 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 The BDPN
✨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!
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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
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✨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.
