Technology Data Analyst (TMT, Deep Sector) in London

Technology Data Analyst (TMT, Deep Sector) in London

London Full-Time 55000 - 65000 € / year (est.) No home office possible
Deepstreamtech

At a Glance

  • Tasks: Join our team to analyse and enhance technology data offerings, ensuring accuracy and client satisfaction.
  • Company: FactSet, a leader in financial data and analytics with a focus on innovation.
  • Benefits: Competitive salary, professional development, and opportunities for mentorship.
  • Other info: Collaborative environment with excellent career growth and learning opportunities.
  • Why this job: Make an impact in the tech sector by transforming complex data into actionable insights.
  • Qualifications: Bachelor’s degree in relevant fields and strong data analysis skills required.

The predicted salary is between 55000 - 65000 € per year.

Requirements

  • Bachelor’s degree: Finance, Economics, Computer Science, Statistics, Engineering (Master’s preferred)
  • 5 years of relevant experience minimum, ideally within the Technology or broader TMT sectors with focus on technology
  • Strong proficiency in data analysis, modelling, and visualization tools (e.g., Excel, Power BI/Tableau, SQL, Python) for data extraction, transformation, analysis, and workflow automation
  • Hands‑on experience preparing data for statistical and machine learning models
  • Familiarity with distributed data systems and cloud platforms (any of AWS, Azure, Databricks, Snowflake)
  • Experience building dashboards and data visualizations (e.g., Tableau, Power BI or similar)
  • Exceptional analytical, quantitative, and organizational skills with the ability to synthesize complex data into clear insights
  • Solid written and verbal communication skills, including the ability to translate data findings into actionable business narratives
  • (Desirable) CFA/CPA designation or capital markets experience a plus

What the job involves

  • Join the Deep Sector TMT team as the Technology Data Analyst for FactSet’s Technology data offering
  • You’ll help support the evolution of FactSet’s Technology data offering – maintaining and enhancing our existing Tech‑sector datasets, integrating new sources into our client‑facing applications, data feeds and APIs, and translating client workflows into best‑in‑class product features and workflow solutions
  • In this role, you will be part of a team to develop and execute on a strategic roadmap for FactSet’s Technology sector offering
  • Data Management: Participate directly and indirectly in the extraction, cleaning, and transformation of large, complex datasets, ensuring accuracy, consistency, and timeliness
  • Data Validation: Take control of our data products, utilizing human‑in‑the‑loop data curation and validation software to ensure our products evolve with changing standards and reporting requirements, while also delivering timely, accurate, and complete products
  • Client Engagement: Partner with sales/consulting, data providers, and clients across FactSet’s user base to understand their workflows, pain points, and feature requests, and to position our offering versus their current needs and competitor solutions
  • Requirement Definition: Translate qualitative and quantitative client insights into clear product requirements, specifications, and user stories that delight and exceed client expectations
  • Cross‑Functional Collaboration: Work closely with engineering, QA, UX, other content developers as well as specialized data teams to deliver value to clients.
  • Presentation & Training: Develop and deliver compelling presentations and demos of FactSet’s Technology sector offerings—in person and virtually—to both internal stakeholders and external clients
  • Partnerships and Acquisition Opportunities: Actively monitor the competitive landscape for data partnership or acquisition opportunities to strengthen FactSet’s Technology offering
  • Team Development: Mentor and train team members in content collection and integration processes, product workflows, and best practices
  • Data Ownership: Identify areas of opportunity where FactSet can own and operate data collection and reduce reliance on third‑party data spend

Technology Data Analyst (TMT, Deep Sector) in London employer: Deepstreamtech

FactSet is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the Technology Data Analyst role within the Deep Sector TMT team. Employees benefit from comprehensive professional development opportunities, a commitment to data excellence, and the chance to engage directly with clients to shape industry-leading technology solutions. Located in a vibrant area, FactSet offers a dynamic environment where analytical minds can thrive and contribute to meaningful projects that drive the future of technology data.

Deepstreamtech

Contact Detail:

Deepstreamtech Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Technology Data Analyst (TMT, Deep Sector) in London

Network Like a Pro

Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in TMT. Building relationships can open doors that a CV just can't.

Show Off Your Skills

When you get the chance to chat with potential employers, don’t hold back on showcasing your data analysis skills. Bring examples of dashboards or visualisations you've created, and be ready to discuss how you’ve used tools like SQL or Python to solve real problems.

Tailor Your Approach

Every company is different, so make sure you tailor your conversations to their specific needs. Research their current projects and challenges in the TMT sector, and think about how your experience can help them tackle those issues.

Apply Through Us!

Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can give you a better shot at landing that interview. Plus, it shows you're genuinely interested in joining our team!

We think you need these skills to ace Technology Data Analyst (TMT, Deep Sector) in London

Data Analysis
Data Modelling
Data Visualisation
Excel
Power BI
Tableau
SQL

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Technology Data Analyst role. Highlight your experience in data analysis, modelling, and any relevant tools like SQL or Python. 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 passionate about the TMT sector and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love a good story!

Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's building dashboards or working with cloud platforms, we want to see examples of your work that demonstrate your skills and creativity.

Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!

How to prepare for a job interview at Deepstreamtech

Know Your Data Tools

Make sure you brush up on your skills with data analysis and visualisation tools like Excel, Power BI, and SQL. Be ready to discuss specific projects where you've used these tools to extract and transform data, as well as how you've built dashboards or visualisations that provided clear insights.

Understand the TMT Sector

Familiarise yourself with the Technology, Media, and Telecommunications (TMT) sector. Research current trends, challenges, and key players in the industry. This will help you demonstrate your knowledge and show how you can contribute to the team’s goals.

Prepare for Scenario Questions

Expect scenario-based questions that assess your problem-solving skills. Think of examples where you've had to validate data or collaborate with cross-functional teams. Be ready to explain your thought process and the impact of your decisions.

Communicate Clearly

Practice translating complex data findings into simple, actionable insights. During the interview, focus on your communication skills, as you'll need to convey technical information to non-technical stakeholders. Use examples from your past experiences to illustrate your ability to create compelling narratives from data.