Data Analyst - Finance in London

Data Analyst - Finance in London

London Full-Time 30000 - 50000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyse financial data, create reports, and collaborate with teams to drive insights.
  • Company: Join a dynamic finance team in a fast-paced environment.
  • Benefits: Competitive salary, professional development, and opportunities for growth.
  • Why this job: Make an impact by transforming data into actionable insights for the finance world.
  • Qualifications: Bachelor's degree in Finance or related field; experience in data analysis required.
  • Other info: Work with cutting-edge tools like Power BI and SQL in a collaborative setting.

The predicted salary is between 30000 - 50000 £ per year.

The Data Analyst will be a key member of the Enterprise Finance Reporting and Insights Center of Excellence team. This role is responsible for providing excellent products and services in the form of reports, insights, and cross-collaboration across the Global Finance organization with an emphasis on Global Gaming, to build sustainable automated reports, dashboards, and visualizations used by the Finance Teams to highlight data trends, anomalies, and reduce manual tasks. We are seeking a multifaceted and self-motivated individual who is a phenomenal teammate, very well-organized, and enjoys serving many internal collaborators in a fast-paced environment.

What You'll Do

  • Review and provide consolidated metrics and targets on a timely basis during month-end and forecast cycles.
  • Develop enhanced reporting, including self-service reporting for collaborators, such as dashboards, visuals, or new reporting styles.
  • Build strong relationships across business unit finance teams to facilitate open and timely communication.
  • Ability to adopt ambiguity and break down complex problems to provide clear and effective recommendations.
  • Applied sophisticated presentation and visualization software to effectively communicate analysis/results to key collaborators.
  • Partner with the broader Finance organization to build robust analytical models, tools, and processes, and provide superior service to business partners/internal clients.
  • Cross collaborates with the team, learning other parts of the business (D&D, Interactive, Group) to assist when needed.
  • The outlook of the role is primarily internal. Work collaboratively with the Global Gaming finance teams, D&D finance segment leads, Interactive finance team, global accounting teams, and corporate Group Finance.

What We're Looking For

  • Bachelor's degree or equivalent experience in Finance, Accounting, or related field.
  • Experience as a Data Analyst or Financial Analyst.
  • Advanced skills in Excel, including modeling and complex formulas.
  • Experienced in Power BI, including DAX formulas.
  • Strong experience in SQL (or similar BI Tool).
  • Skills in Python would be highly desirable.
  • Strong analytical and complex Financial Modeling skills, with experience working with complex financial data to produce analysis, including trend, forecast, and critical metric analysis, generating insights to improve efficiency, quality, and performance.
  • Confidence to work on complex projects and drive them to a solution.
  • History of enhancing operations: Consistently seeking ways to improve, including recognizing automation possibilities.
  • Ability to see the big picture, but able to dive into the details when required.
  • Collect, clean, and organize financial and transactional data from various sources, including databases, spreadsheets, and software systems.
  • Must possess a high level of personal and professional development and accountability.
  • Established proficiency in overseeing several priorities, including meeting changing demands and adjusting to frequently changing priorities.
  • Strong collaborator engagement and communication skills with the ability to build and maintain strong relationships across the business.

Data Analyst - Finance in London employer: Product Madness (U.K) Limited

As a Data Analyst within our Enterprise Finance Reporting and Insights Center of Excellence, you will thrive in a dynamic and collaborative work culture that prioritises innovation and professional growth. Our commitment to employee development is reflected in our comprehensive training programmes and opportunities for cross-departmental collaboration, particularly within the Global Gaming sector. Join us to be part of a forward-thinking team that values your insights and contributions while offering a supportive environment to enhance your skills and career trajectory.
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Contact Detail:

Product Madness (U.K) Limited Recruiting Team

StudySmarter Expert Advice 🤫

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

✨Tip Number 1

Network like a pro! Reach out to current employees in the finance sector, especially those working with data analysis. A friendly chat can give you insider info and might even lead to a referral.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your best reports, dashboards, and visualisations. This will not only demonstrate your expertise but also make you stand out during interviews.

✨Tip Number 3

Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with Excel, Power BI, and SQL. We want to see how you can apply these tools to solve real-world problems.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team.

We think you need these skills to ace Data Analyst - Finance in London

Data Analysis
Financial Modelling
Excel (Advanced)
Power BI
DAX Formulas
SQL
Python
Communication Skills
Collaboration Skills
Problem-Solving Skills
Attention to Detail
Adaptability
Project Management
Data Cleaning and Organisation

Some tips for your application 🫡

Tailor Your CV: Make sure your CV speaks directly to the Data Analyst role. Highlight your experience with Excel, Power BI, and SQL, and don’t forget to mention any relevant projects that showcase your analytical skills.

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about finance and data analysis. Share specific examples of how you've improved processes or provided insights in previous roles.

Showcase Your Collaboration Skills: Since this role involves working closely with various teams, make sure to highlight your teamwork experiences. Mention any cross-departmental projects you've been part of and how you built strong relationships.

Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get to know you better!

How to prepare for a job interview at Product Madness (U.K) Limited

✨Know Your Numbers

As a Data Analyst, you'll be expected to handle complex financial data. Brush up on your Excel skills and be ready to discuss specific examples of how you've used advanced formulas or created dashboards in Power BI. This will show that you can hit the ground running.

✨Showcase Your Collaboration Skills

This role emphasises teamwork across various finance teams. Prepare to share experiences where you've successfully collaborated with others, especially in fast-paced environments. Highlight how you built relationships and communicated effectively to achieve common goals.

✨Embrace Ambiguity

The job description mentions the need to adopt ambiguity and break down complex problems. Think of instances where you've tackled unclear situations or projects. Be ready to explain your thought process and how you arrived at effective solutions.

✨Prepare for Technical Questions

Expect questions about SQL, Python, and financial modelling. Brush up on your technical knowledge and be prepared to discuss how you've applied these skills in previous roles. If possible, bring examples of your work to demonstrate your expertise.

Data Analyst - Finance in London
Product Madness (U.K) Limited
Location: London

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