Data Analytics Specialist in London

Data Analytics Specialist in London

London Full-Time 50000 - 60000 € / year (est.) No home office possible
Mayford James

At a Glance

  • Tasks: Build and optimise data pipelines, ensuring accuracy and integrity across analytical outputs.
  • Company: Dynamic London-based family office with a strong reputation.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Exciting opportunity to work across diverse investment sectors.
  • Why this job: Join a collaborative team and make a real impact in investment analytics.
  • Qualifications: 3+ years in Data Analytics, proficient in SQL and Python, dashboard experience required.

The predicted salary is between 50000 - 60000 € per year.

London based family office is looking for an experienced Data and Reporting Specialist to become an integral part of their team. This is an exciting and unique opportunity to join this dynamic and well regarded organisation. You will work independently as well as with the investment team across Public equities, hedge funds, private equity and real estate.

Responsibilities include:

  • Build, maintain, and optimise data pipelines from multiple sources including market data providers, internal systems and third-party platforms
  • Ensure data integrity, consistency and accuracy across all analytical outputs
  • Design and maintain dashboards to report on performance, attribution and risk
  • Prepare regular investment reporting packs for internal committees and clients
  • Assist with the automation of manual workflows and processes across the business
  • Document all procedures, controls and methodologies

You will likely possess at least 3 years relevant experience in a Data Analytics role most likely with some performance/ attribution experience within Asset Management. You will be proficient in SQL and Python and hold prior experience in building dashboards and reports using BI.

Data Analytics Specialist in London employer: Mayford James

Join a prestigious London-based family office that values innovation and collaboration, offering a vibrant work culture where your contributions directly impact investment strategies. With a strong emphasis on employee development, you will have access to continuous learning opportunities and the chance to work alongside seasoned professionals in a supportive environment. Enjoy the unique advantage of being part of a close-knit team that prioritises work-life balance while engaging in meaningful projects across diverse asset classes.

Mayford James

Contact Detail:

Mayford James Recruiting Team

StudySmarter Expert Advice🀫

We think this is how you could land Data Analytics Specialist in London

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data analytics projects, dashboards, and any automation you've done. This will give potential employers a taste of what you can bring to the table.

✨Tip Number 3

Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss your experience with data pipelines and performance reporting, as these are key in the role we're looking at.

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!

We think you need these skills to ace Data Analytics Specialist in London

Data Pipeline Development
Data Integrity Management
Dashboard Design
Performance Reporting
Attribution Analysis
Investment Reporting
Automation of Workflows

Some tips for your application 🫑

Tailor Your CV:Make sure your CV is tailored to the Data Analytics Specialist role. Highlight your experience with SQL, Python, and any relevant performance or attribution work you've done. We want to see how your skills match what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about this opportunity and how you can contribute to our team. Be sure to mention your experience with data pipelines and dashboard creation.

Showcase Your Projects:If you've worked on any projects that involved building dashboards or automating workflows, make sure to include them in your application. We love seeing real examples of your work and how you've tackled challenges in the past.

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!

How to prepare for a job interview at Mayford James

✨Know Your Data Inside Out

Make sure you’re well-versed in the data analytics tools and methodologies mentioned in the job description. Brush up on your SQL and Python skills, and be ready to discuss how you've used them in past roles. We recommend preparing specific examples of projects where you built or optimised data pipelines.

✨Showcase Your Dashboard Design Skills

Since designing and maintaining dashboards is a key responsibility, come prepared with examples of dashboards you've created. If possible, bring screenshots or even a live demo. We suggest explaining the thought process behind your designs and how they helped stakeholders make informed decisions.

✨Understand the Business Context

Familiarise yourself with the family office's investment strategies, especially in public equities, hedge funds, and private equity. We encourage you to research their recent investments or reports. This will help you tailor your answers and show that you’re genuinely interested in their operations.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving skills, particularly around data integrity and automation. We advise practising responses to scenarios where you had to troubleshoot data issues or automate workflows. Highlight your analytical thinking and how you ensure accuracy in your outputs.