Data Analyst role at fintech focusing on financial and operational data analytics for business insights. Collaborating with teams to enhance decision - making processes.
About the role
- Technology Data Analyst leading FactSet’s Telecom data offering by managing datasets and enhancing client workflows. Collaborating across teams to develop and execute a strategic roadmap.
Responsibilities
- 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 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 and 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.
Requirements
- Bachelor’s degree: Finance, Economics, Computer Science, Statistics, Engineering (Master’s preferred)
- 3-5 years of relevant experience minimum, ideally within the Telecom or broader TMT sectors with focus on Telecom
- 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.
- CFA/CPA designation or capital markets experience a plus
Benefits
- 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 program, 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.
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