{ “@context”: “http://schema.org”, “@type”: “JobPosting”, “title”: “Technology Data Analyst (TMT, Deep Sector)”, “description”: “
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
Company: Deepstreamtech
Location: London
Job Description:
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
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Posted: May 19th, 2026