At a Glance
- Tasks: Join our team to manage and enhance technology data, ensuring accuracy and client satisfaction.
- Company: FactSet, a leading financial data and software solutions provider.
- Benefits: Enjoy flexible work, health benefits, and a supportive culture focused on well-being.
- Why this job: Make a real impact in the tech sector while developing your skills in a dynamic environment.
- Qualifications: Bachelor's degree and strong data analysis skills required; experience in tech preferred.
- Other info: Opportunities for career growth and a commitment to diversity and inclusion.
The predicted salary is between 36000 - 60000 £ per year.
FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions. At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients' needs and exceeding their expectations.
Your Team's Impact: FactSet's commitment to our clients, employees, shareholders, and communities is at the core of who we are. Our commitment to corporate citizenship is built into all aspects of our business. In each of our 48 global offices, one thing is clear: FactSetters worldwide have a passion for making an impact on our business and in our communities. Deep Sector is FactSet's strategic effort to collect new content, enhance existing fundamentals coverage, and roll out advanced reports and functionality across nine verticals: Banks, Insurance, Real Estate, Power & Utilities, TMT, Metals & Mining, Oil & Gas, Specialty Finance, and Healthcare. Deep Sector data goes beyond what's available in public filings, providing granular, industry-specific intelligence on public and private companies, assets, transactions, markets, news, and more.
Job Description: 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.
What You'll Do:
- 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, utilising 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 vs. 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.
What We're Looking For:
- Required Skills: 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 visualisation 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 visualisations (e.g., Tableau, Power BI or similar).
- Exceptional analytical, quantitative, and organisational skills with the ability to synthesise complex data into clear insights.
- Solid written and verbal communication skills, including the ability to translate data findings into actionable business narratives.
Desired Skills: CFA/CPA designation or capital markets experience a plus.
What's In It For You: At FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being a FactSetter means:
- Contributing to a firm with over 40 years of consecutive growth, named a 2023 Best Place to Work by Glassdoor and led by a top-rated CEO Talent Champion.
- Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase programme, plus paid time off for holidays, family leave, and companywide wellness days.
- Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives.
- A global community dedicated to volunteerism, sustainability, and inclusivity, where collaboration is always encouraged, and individuality drives solutions.
- Career progression plans with dedicated time each month for learning and development.
- Employee-led Business Resource Groups that align with our DE&I strategy and are wholly supported by Executive Management.
Returning from a break? We are here to support you. If you have taken time out of the workforce and are looking to return, we encourage you to apply and chat with our recruiters about our available support to help you relaunch your career.
At FactSet, we celebrate diversity of thought, experience, and perspective. We are committed to disrupting bias and a transparent hiring process. All qualified applicants will be considered for employment regardless of race, colour, ancestry, ethnicity, religion, sex, national origin, gender expression, sexual orientation, age, citizenship, marital status, disability, gender identity, family status or veteran status.
Technology Data Analyst- TMT- Deep Sector in London employer: FactSet
Contact Detail:
FactSet Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technology Data Analyst- TMT- Deep Sector in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with FactSet employees on LinkedIn. Building relationships can open doors that applications alone can't.
✨Tip Number 2
Prepare for interviews by researching FactSet's values and recent projects. Show us how your skills align with our mission and how you can contribute to the Deep Sector team.
✨Tip Number 3
Practice your data storytelling! Be ready to explain complex data insights in simple terms. We love candidates who can translate numbers into narratives that resonate with clients.
✨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, it shows you're genuinely interested in joining the FactSet family.
We think you need these skills to ace Technology Data Analyst- TMT- Deep Sector in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Technology Data Analyst role. Highlight relevant experience and skills that match the job description, especially in data analysis and client engagement.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about the technology sector and how your background aligns with our values at FactSet. Be genuine and let your personality come through.
Showcase Your Data Skills: Since this role involves a lot of data management and analysis, be sure to showcase your proficiency in tools like SQL, Python, and data visualisation software. Include specific examples of projects where you've used these skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at FactSet
✨Know Your Data Tools
Make sure you’re well-versed in the data analysis and visualisation tools mentioned in the job description, like SQL, Python, and Tableau. Brush up on your skills and be ready to discuss how you've used these tools in past projects.
✨Understand Client Needs
Familiarise yourself with the types of clients FactSet serves and their specific needs in the Technology sector. Think about how you can translate client insights into actionable product features and be prepared to share examples of how you've done this before.
✨Showcase Your Analytical Skills
Be ready to demonstrate your analytical prowess during the interview. Prepare to discuss complex datasets you've worked with, how you ensured their accuracy, and any challenges you faced in data validation or transformation.
✨Prepare for Cross-Functional Collaboration
Since this role involves working closely with various teams, think of examples where you've successfully collaborated across departments. Highlight your communication skills and how you’ve contributed to team success in previous roles.