Data Analytics Analyst - Empirical Search
Data Analytics Analyst - Empirical Search

Data Analytics Analyst - Empirical Search

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Manage cash forecasts, bank accounts, and liquidity data for the company.
  • Company: Join a dynamic team focused on innovative financial solutions and strategic growth.
  • Benefits: Enjoy flexible working options and opportunities for professional development.
  • Why this job: Be part of a collaborative culture that values insight and innovation in finance.
  • Qualifications: A 2.1 degree in Economics, Finance, Statistics, Mathematics or similar is required.
  • Other info: Ideal for those passionate about data analytics and financial strategy.

The predicted salary is between 36000 - 60000 £ per year.

Production of daily cash forecast used to manage all cash across the company.

Operate and manage all bank accounts and banking relationships, including oversight of the company's bank account structure.

Manage liquidity data requirements for internal and regulatory reporting.

Assist in the design, execution and ownership of all cash management, liquidity planning and cash forecasting responsibilities.

Monitor daily cash levels, seek to improve modelling and reporting capabilities.

Ensure all relevant policies and procedures are regularly reviewed, updated and in compliance with internal risk and control standards.

Play a key role in the preparation of the Company’s annual Budget and major strategic forecasts for cash flow forecasting and funding by helping to align the external and internal key performance indicators and messaging, thus helping to deliver a coherent, integrated multi-year forecast for cash flow and funding.

Support the Group’s stress testing and scenario analysis, including macro scenarios and working with teams across the business to develop PRA style stress testing.

Analyse actual performance against forecasts on a monthly basis, understanding and explaining differences and improving the forecast models as required.

Treasury person working in collaboration with the Directory of Treasury Markets in analysing, modelling and forecasting/planning the future funding plan for the company.

Lead the adhoc preparation of analysis and material and providing insight to support presentations to Group Board, Executive Committee, Ratings Agencies, Shareholders and Regulators.

Support any M&A / Corporate Development / new initiative activity by analysing funding solutions.

Lead Treasury projects, facilitate issue resolution and provide recommendations to senior colleagues.

Support the investor relations process by leading the preparation of any Treasury specific analysis and material.

Support implementation of Treasury IT infrastructure.

Collaboratively work with colleagues in Funding and Reporting teams, as well as key partners within the wider Finance group.

Role Requirements

  • Knowledge and experience of designing, executing and monitoring cash management within a Treasury team.
  • Uses knowledge of cash management techniques to provide input and ideas for both medium and long term business strategies and direction, and continually reviewing these to determine when changes require amendments.
  • Highly proficient in Excel, with experience building corporate level financial forecasting models in Excel, using a logical and analytical approach.
  • Good decision making skills.
  • Ability to generate commercial insight from raw data.
  • At least a 2.1 degree in a highly numerical discipline such as Economics, Finance, Statistics, Mathematics or similar.

Data Analytics Analyst - Empirical Search employer: Empirical Search

As a Data Analytics Analyst at our company, you will thrive in a dynamic work environment that values innovation and collaboration. We offer competitive benefits, a strong focus on employee development, and opportunities for growth within the finance sector, all while being part of a team that plays a crucial role in shaping our financial strategies. Located in a vibrant area, our workplace fosters a culture of inclusivity and support, making it an excellent choice for those seeking meaningful and rewarding employment.
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Contact Detail:

Empirical Search Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analytics Analyst - Empirical Search

✨Tip Number 1

Familiarise yourself with cash management techniques and tools. Understanding the latest trends and technologies in treasury management can give you an edge during interviews, as you'll be able to discuss how you can contribute to our cash forecasting and liquidity planning.

✨Tip Number 2

Brush up on your Excel skills, especially in building financial forecasting models. We value candidates who can demonstrate their proficiency in Excel, so consider creating a sample model to showcase your analytical abilities during discussions.

✨Tip Number 3

Prepare to discuss your experience with stress testing and scenario analysis. We often engage in macro scenarios, so being able to articulate your past experiences and insights in this area will show us that you're ready to take on the challenges of the role.

✨Tip Number 4

Network with professionals in the finance and treasury sectors. Engaging with industry peers can provide valuable insights and potentially lead to referrals, which can significantly enhance your chances of landing a position with us.

We think you need these skills to ace Data Analytics Analyst - Empirical Search

Cash Management Techniques
Liquidity Planning
Financial Forecasting Models
Advanced Excel Proficiency
Analytical Skills
Decision-Making Skills
Data Analysis
Regulatory Reporting Knowledge
Scenario Analysis
Communication Skills
Collaboration Skills
Problem-Solving Skills
Attention to Detail
Understanding of Treasury Operations

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in cash management, financial forecasting, and data analysis. Use specific examples that demonstrate your proficiency in Excel and your ability to generate insights from data.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background in economics, finance, or a similar field aligns with the job requirements, and mention any specific projects or experiences that showcase your skills.

Highlight Relevant Skills: Emphasise your analytical skills and decision-making abilities. Mention your experience with cash management techniques and any familiarity with Treasury IT infrastructure, as these are key aspects of the role.

Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.

How to prepare for a job interview at Empirical Search

✨Showcase Your Analytical Skills

Be prepared to discuss your experience with data analysis and forecasting. Highlight specific examples where you've successfully built financial models or improved cash management processes, as this role heavily relies on analytical capabilities.

✨Demonstrate Excel Proficiency

Since the job requires high proficiency in Excel, be ready to talk about your experience with it. You might even want to mention any complex models you've created or how you've used Excel to solve problems in previous roles.

✨Understand Cash Management Techniques

Familiarise yourself with various cash management techniques and be ready to discuss how you've applied them in past roles. This will show that you have the necessary knowledge to contribute effectively to the team.

✨Prepare for Scenario Analysis Questions

Given the emphasis on stress testing and scenario analysis in the job description, prepare to discuss how you've approached these tasks in the past. Think of specific scenarios you've worked on and the insights you derived from them.

Data Analytics Analyst - Empirical Search
Empirical Search
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