At a Glance
- Tasks: Shape data strategies and turn insights into impactful business decisions.
- Company: Fast-growing financial services firm with a dynamic culture.
- Benefits: High visibility, autonomy, and the chance to influence key decisions.
- Other info: Join a fast-paced environment where your ideas matter.
- Why this job: Build data capabilities from scratch and make a real impact.
- Qualifications: Experience in Capital Markets and strong data analysis skills.
The predicted salary is between 40500 - 49500 £ per year.
A fast-growing financial services business is scaling quickly and needs stronger data visibility to keep pace.
This is a newly created Data Analyst role with real influence, helping shape how the business measures performance and turns data into better decisions.
Role Overview
Location
Central London - 3 days per week in the office
Industry
- Capital Markets / Prime Brokerage
- What You'll Be Doing
- Establish the core KPIs the business needs to understand commercial and operational performance.
- Work with senior stakeholders to define reporting priorities and turn business questions into meaningful data requirements.
- Identify where key data sits across the organisation and assess its accuracy, consistency and reliability.
- Tackle data quality issues and bring structure to information that currently sits across different sources.
- Build a robust reporting framework and establish consistent standards for how performance is measured and presented.
- Develop clear executive-level dashboards that give leadership a straightforward view of business performance.
- Analyse revenue, profitability, product and service-line performance alongside wider commercial metrics.
- Develop reporting around key operational measures.
- Look for opportunities to automate recurring reporting and remove unnecessary manual processes.
- Turn raw data into practical insight, highlighting trends, risks and opportunities.
- Present findings clearly to senior stakeholders, tailoring the level of detail and focus to what they need to make decisions.
- Take ownership in an environment that is still developing, proactively identifying what needs to be done rather than waiting for a fully defined brief.
- Main Skills and Experiences Needed
- Proven experience working within
Capital Markets ideally Prime Brokerage / Prime Services .
- Solid commercial and operational data analysis experience.
- Strong understanding of data quality, reporting structures, KPIs and dashboarding.
- Ability to work across multiple data sources and resolve inconsistencies.
- Experience building or improving management and executive reporting.
- Comfortable identifying opportunities to automate reporting and improve efficiency.
- Able to translate complex data into clear, actionable business insight.
- Confident working directly with senior executives and communicating at their level.
- Naturally proactive, comfortable working with ambiguity and able to make progress in a fast-moving, developing organisation.
- What's in It for You
- A genuine opportunity to build the data and reporting capability of a scaling financial services business from the ground up.
- High visibility with regular exposure to senior leadership and the opportunity to directly influence decision-making.
- A role with plenty of autonomy rather than layers of process and support around you.
- The chance to put proper data structures, standards and executive reporting in place where they can make an immediate difference.
- A fast-paced environment where your ideas and initiative will have a real impact.
Big plans. Big impact. Ready to be part of it?
We are an equal opportunity employer and value diversity at our company.
We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
By applying you are confirming you are happy to be added to the Addition Solutions mailing list regarding future suitable positions.
You can opt out of this at any time simply by contacting one of our consultants.
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Data Analyst employer: Addition+
Addition is an exceptional employer that fosters a dynamic work culture in the heart of London, where innovation meets collaboration. With a strong emphasis on professional development, employees are encouraged to grow their skills and advance their careers while enjoying competitive salaries and flexible working arrangements. Joining Addition means being part of a forward-thinking team dedicated to making a meaningful impact in the cyber security landscape.
StudySmarter Expert Advice🤫
We think this is how you could land 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 Addition+!
✨Show Off Your Projects
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 Data Analyst at Addition+.
✨Leverage Professional Networks
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 Addition+.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at Addition+, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace 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 Addition+, 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 Addition+. 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 Addition+
✨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 Addition+!
✨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.
