Operational MI Analyst in London

Operational MI Analyst in London

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

  • Tasks: Design and improve data solutions to enhance operational performance and decision-making.
  • Company: Join DLG, a forward-thinking company prioritising customer-centric innovation.
  • Benefits: Enjoy a competitive pension, discounts, health insurance, and flexible working options.
  • Why this job: Make a real impact with advanced analytics and cutting-edge technology in a dynamic environment.
  • Qualifications: Experience in MI solutions, data analysis, and machine learning is essential.
  • Other info: Hybrid work model offering flexibility and excellent career growth opportunities.

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

DLG is evolving. Across every facet of our business, our teams are embracing new opportunities and putting customers at the heart of everything they do. By joining them, you’ll have the opportunity to not just be recognised for your skills but encouraged to build upon them and empowered to do your absolute best.

The Operational MI Analyst is responsible for designing, building, and continuously improving MI and data solutions that support operational performance. The role focuses on automating data flows, strengthening data architecture and governance, and applying advanced analytics techniques, for example machine learning, to deliver forecasting and insight that drive effective decision-making across the operational area.

Key Accountabilities

  • Build, enhance, and automate operational MI dashboards, reports, and data products to provide timely, accurate, and actionable insight.
  • Develop robust data pipelines and models that reduce manual effort and improve data quality, consistency, and reliability.
  • Partner with a range of other business areas, including product/platform, trading and technology teams to ensure data architecture is fit for purpose and end to end customer outcomes are visible and analysed.
  • Implement appropriate data governance, controls, and documentation to ensure accuracy, traceability, and compliance.
  • Design, build, and deploy predictive and forecasting models using AI and machine learning techniques to support capacity planning, demand forecasting, and operational decision-making.
  • Translate complex data and analytical outputs into clear insights and recommendations for operational leaders.
  • Continuously identify opportunities to improve MI, analytics capability, and the use of data across the operational function.

Our hybrid model offers a 'best of both worlds' approach. When you’ll be in the office depends on your role and team, but colleagues spend at least 50% of their time in the office.

What You’ll Need

  • Proven experience in building and automating MI and data solutions within a financial services operational environment.
  • Advanced data analysis and modelling skills (e.g. SQL, Python, R, or similar).
  • Experience designing and deploying machine learning or AI models, particularly for forecasting or predictive analytics.
  • Strong understanding of data architecture, data governance, and control frameworks.
  • Experience working with BI and visualisation tools (e.g. Power BI, Tableau).
  • Ability to work cross-functionally and communicate effectively with both technical and non-technical stakeholders.
  • Experience in Commercial Insurance is preferred but not essential.

Benefits

We recognise we wouldn’t be where we are today without our colleagues, that’s why we offer excellent benefits designed to suit your lifestyle:

  • 9% employer contributed pension
  • 50% off home, motor and pet insurance, plus free Green Flag breakdown cover
  • Additional optional Health and Dental insurance
  • EV car scheme allows all colleagues to lease a brand new electric or plug-in hybrid car in a tax efficient way.
  • Generous holidays
  • Buy as you earn share scheme
  • Employee discounts and cashback
  • Plus, many more

We want everyone to get the most out of their time at DLG. Which is why we’ve looked beyond the financial rewards and created an offer that takes your whole life into account.

Operational MI Analyst in London employer: Direct Line Group Careers

DLG is an exceptional employer that prioritises employee growth and well-being, offering a dynamic work culture where innovation thrives. With a strong focus on professional development, employees are encouraged to enhance their skills while enjoying a comprehensive benefits package, including generous holidays, a robust pension scheme, and discounts on various services. The hybrid working model fosters flexibility, allowing team members to balance their professional and personal lives effectively in vibrant locations like Bristol, London, and Leeds.
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Contact Detail:

Direct Line Group Careers Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Operational MI Analyst in London

✨Tip Number 1

Network like a pro! Reach out to current employees on LinkedIn or attend industry events. It’s all about making connections that can help you get your foot in the door.

✨Tip Number 2

Prepare for interviews by practising common questions and showcasing your skills. Use examples from your past experiences that highlight your data analysis and MI solutions expertise.

✨Tip Number 3

Don’t just apply anywhere; focus on companies that align with your values and career goals. We recommend checking out our website for roles that excite you and fit your skill set.

✨Tip Number 4

Follow up after interviews! A quick thank-you email can leave a lasting impression and show your enthusiasm for the role. It’s a small gesture that can make a big difference.

We think you need these skills to ace Operational MI Analyst in London

Data Analysis
SQL
Python
R
Machine Learning
AI Modelling
Data Architecture
Data Governance
BI Tools
Power BI
Tableau
Cross-Functional Communication
Predictive Analytics
Operational Performance Improvement

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Operational MI Analyst role. Highlight your experience with MI and data solutions, and don’t forget to mention any relevant skills in SQL, Python, or machine learning. We want to see how you can bring your unique flair to our team!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how your previous experiences align with our mission at DLG. Keep it engaging and personal – we love to see your personality come through!

Showcase Your Projects: If you've worked on any cool projects related to data analysis or machine learning, make sure to mention them! Whether it's a dashboard you built or a predictive model you designed, we want to know how you've applied your skills in real-world scenarios.

Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take that extra step!

How to prepare for a job interview at Direct Line Group Careers

✨Know Your Data Tools

Make sure you brush up on your skills with SQL, Python, or R before the interview. Be ready to discuss how you've used these tools in past roles to build and automate MI solutions. This will show that you’re not just familiar with the tech but can also apply it effectively.

✨Showcase Your Analytical Mindset

Prepare examples of how you've designed and deployed machine learning models or predictive analytics in previous jobs. Highlight specific outcomes that resulted from your insights, as this demonstrates your ability to translate complex data into actionable recommendations.

✨Understand the Business Context

Familiarise yourself with the operational aspects of the financial services industry, especially if you have experience in Commercial Insurance. Being able to connect your technical skills to real-world business problems will set you apart from other candidates.

✨Communicate Clearly

Practice explaining technical concepts in simple terms. You’ll likely be speaking with both technical and non-technical stakeholders, so being able to bridge that gap is crucial. Prepare to discuss how you’ve successfully collaborated across teams in the past.

Operational MI Analyst in London
Direct Line Group Careers
Location: London
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