Senior Manager, Data Analytics in London

Senior Manager, Data Analytics in London

London Full-Time 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Drive data-driven decisions and analyse complex datasets for impactful change.
  • Company: Join LSEG, a global leader in financial markets and data services.
  • Benefits: Enjoy competitive pay, healthcare, remote work options, and personal development opportunities.
  • Why this job: Make a real impact in a dynamic environment while growing your career.
  • Qualifications: Degree in STEM, experience with data analysis, and strong Excel skills required.
  • Other info: Be part of a diverse team that values innovation and collaboration.

The predicted salary is between 48000 - 72000 £ per year.

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years.

People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference.

Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential. We know that real personal growth cannot be achieved by simply climbing a career ladder – which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise.

The role holder will enable data-driven decision-making across the Engineering change portfolio, supporting strategic planning, performance tracking, automation and continuous improvement. This role involves handling and evaluating complex datasets, aligning tooling and standards, and generating executive-level insights and visualisation to advise delivery and change governance.

WHAT YOU'LL BE DOING:

  • Analysing and interpreting complex data (~£200m of change projects within the Portfolio), uncover trends, risks, and opportunities across the portfolio
  • Implementing controls to ensure data quality (accuracy, consistency, completeness, compliance)
  • Own the development and adoption of best practices for data tracking, reporting, and KPI measurement within Clarity and other tools
  • Designing and implementing models to forecast delivery performance, resource utilisation, and outcomes
  • Developing and maintaining dashboards, reports, and visualisations to support strategic decision-making
  • Automate data workflows and reporting processes using tools such as Excel, Power BI, Python
  • Collaborate with cross-functional teams including PMOs, Finance, Risk, and Engineering teams to embed data science capabilities into portfolio governance and delivery
  • Support the adoption and optimisation of portfolio tools (e.g. Clarity PPM) through data-driven enhancements
  • Ensure alignment with the Group’s change framework, contributing to its evolution through data-driven recommendations
  • Provide direction on leadership on data strategy

WHAT YOU'LL BRING:

  • Educated to degree level or higher in a STEM field
  • Advanced experience with PPM tools and their application (strong preference for Clarity)
  • Extensive experience working with large datasets, including data cleansing, variance analysis, transformation, and generating insights for decision‑making
  • Excel skills, including: XLOOKUP, SUMIFS, Pivot Tables, Power Query, DAX, and complex formulas/logic
  • Familiarity with Power BI, SQL, and Python for enhanced analysis and automation
  • Strong ability to present data‑driven insights in executive‑level PowerPoint decks with high accuracy and consistent, professional formatting
  • Demonstrable deep expertise in IT project environments
  • Strong planning, organisational, and mentoring skills
  • Excellent interpersonal and communication skills, with the ability to work effectively at all organisational levels
  • Shown capability in handling and influencing a wide network of stakeholders, building positive relationships
  • Confident in challenging customers and stakeholders to fully understand their needs
  • A creative problem solver capable of identifying elegant, effective solutions

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Senior Manager, Data Analytics in London employer: London Stock Exchange Group

At LSEG, we pride ourselves on being an exceptional employer, offering a dynamic work environment in the heart of London that fosters innovation and collaboration. Our commitment to employee growth is evident through diverse career development opportunities, comprehensive benefits including healthcare and wellbeing initiatives, and a culture that values individuality and teamwork. Join us to be part of a global organisation where your contributions will make a meaningful impact on financial markets and communities worldwide.
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Contact Detail:

London Stock Exchange Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Manager, Data Analytics in London

✨Tip Number 1

Network like a pro! Reach out to connections in the industry, attend events, and engage on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Prepare for interviews by researching the company and its culture. Understand their values and how they align with your own. This will help you tailor your responses and show that you're genuinely interested in being part of their team.

✨Tip Number 3

Practice makes perfect! Conduct mock interviews with friends or use online resources to refine your answers. Focus on articulating your experience with data analytics and how it can benefit the company.

✨Tip Number 4

Don’t forget to follow up after interviews! A simple thank-you email can leave a lasting impression and keep you top of mind. Plus, it shows your enthusiasm for the role and the company.

We think you need these skills to ace Senior Manager, Data Analytics in London

Data Analysis
Data Visualisation
Excel (including XLOOKUP, SUMIFS, Pivot Tables, Power Query, DAX)
Power BI
Python
SQL
Project Portfolio Management (PPM) tools (preferably Clarity)
Data Quality Control
Forecasting Models
Stakeholder Management
Communication Skills
Problem-Solving Skills
Organisational Skills
Mentoring Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior Manager, Data Analytics role. Highlight your experience with data analytics, PPM tools, and any relevant projects that showcase your skills in handling complex datasets.

Craft a Compelling Cover Letter: Your cover letter should tell us why you're the perfect fit for this role. Share specific examples of how you've used data to drive decision-making and improve processes in previous positions.

Showcase Your Technical Skills: Don’t forget to mention your technical skills! We want to see your proficiency in Excel, Power BI, SQL, and Python. Include any relevant certifications or projects that demonstrate your expertise.

Apply Through Our Website: For the best chance of success, apply directly through our website. This ensures your application gets to the right people and shows us you’re serious about joining our team!

How to prepare for a job interview at London Stock Exchange Group

✨Know Your Data Inside Out

As a Senior Manager in Data Analytics, you’ll need to demonstrate your expertise with complex datasets. Brush up on your experience with data cleansing, variance analysis, and generating insights. Be ready to discuss specific examples where your data-driven decisions made a significant impact.

✨Master the Tools of the Trade

Familiarity with tools like Clarity, Power BI, and Python is crucial. Make sure you can talk confidently about how you've used these tools in past roles. Prepare to showcase your Excel skills, especially advanced functions like XLOOKUP and DAX, as they will likely come up during technical discussions.

✨Showcase Your Communication Skills

You’ll be presenting data-driven insights to executive-level stakeholders, so practice articulating your findings clearly and concisely. Prepare a few slides that demonstrate your ability to present complex information in an accessible way, focusing on clarity and professional formatting.

✨Emphasise Collaboration and Leadership

This role requires strong collaboration with various teams. Be prepared to share examples of how you’ve successfully worked with cross-functional teams in the past. Highlight your mentoring skills and how you’ve influenced stakeholders to align with data strategies, showcasing your leadership capabilities.

Senior Manager, Data Analytics in London
London Stock Exchange Group
Location: London

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