Data Analyst Manager - Finance

Data Analyst Manager - Finance

Full-Time 80000 - 100000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead automation and optimisation of Finance processes using data and modern tools.
  • Company: Dynamic banking institution in Central London with a focus on innovation.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Join a collaborative team and champion data-driven thinking across the organisation.
  • Why this job: Transform Finance with data-driven insights and make a real impact.
  • Qualifications: Degree in Finance, Data Analytics or related field; experience with SQL and automation.

The predicted salary is between 80000 - 100000 £ per year.

Data Analytics Manager | Central London | Banking | £80,000 - £100,000 | 50% WFH Ready to transform how Finance uses data?

We're looking for a Data Analytics Manager to help drive the next phase of Finance transformation.

You'll use data, automation and modern reporting tools to simplify processes, strengthen controls and give stakeholders better insights to make smarter decisions.

This is a highly visible role within the CFO function where you'll combine your finance knowledge, technical expertise and problem-solving skills to deliver meaningful change across the business.

If you're someone who sees a manual process and immediately starts thinking about how to automate it, we'd love to hear from you.

What You'll Be Doing Lead the automation and optimisation of Finance processes, reducing manual effort and improving efficiency.

Design and implement automated controls, reconciliations and exception reporting.

Improve the quality, accuracy and integrity of financial data and reporting.

Build insightful dashboards, visualisations and KPI reporting that support business decision-making.

Streamline month-end, quarter-end and year-end reporting activities.

Extract, transform and analyse data from multiple sources using Microsoft Fabric, SQL and other modern analytics tools.

Partner with Technology and Finance teams to deliver transformation projects from requirements gathering through to implementation.

Translate business needs into scalable reporting and analytics solutions.

Provide ad hoc analysis and insight to support strategic and operational decision-making.

Champion data-driven thinking across Finance and help colleagues maximise the value of reporting and analytics tools.

Act as a subject matter expert for finance analytics, reporting and finance systems.

What We're Looking For Degree educated in Finance, Accounting, Data Analytics, Computer Science or a related discipline.

Experience working within a Finance or Financial Reporting environment.

Hands-on experience with: Microsoft Fabric, Power BI, SQL, Python Proven experience automating reporting and business processes.

Strong analytical and problem-solving skills.

Ability to manage multiple priorities and engage effectively with stakeholders.

Excellent communication skills with the ability to explain complex information clearly.

Data Analyst Manager - Finance employer: Trace | Expert Accountancy & Finance Recruitment

Join a well-established manufacturing business in West London as a Fractional Finance Director, where you will play a pivotal role in driving financial leadership and meaningful change. With a collaborative work culture and a focus on employee growth, this position offers the chance to make a tangible impact while working closely with senior leadership. Enjoy the benefits of a hands-on role in a supportive environment, with convenient on-site parking and the opportunity to shape the finance function during a critical period of development.

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Contact Details:

Trace | Expert Accountancy & Finance Recruitment Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst Manager - Finance

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When you find a suitable opening like Data Analyst Manager - Finance at Trace | Expert Accountancy & Finance Recruitment, 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 Manager - Finance

Data Analytics
Automation
Financial Reporting
Microsoft Fabric
Power BI
SQL
Python

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 Trace | Expert Accountancy & Finance Recruitment, 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 Trace | Expert Accountancy & Finance Recruitment. 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 Trace | Expert Accountancy & Finance Recruitment

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 Trace | Expert Accountancy & Finance Recruitment!

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.