- Company Name
- FactSet
- Job Title
- Technology Data Analyst- TMT- Deep Sector
- Job Description
-
**Job Title:** Technology Data Analyst – TMT Deep Sector
**Role Summary:**
Analyze, refine, and expand technology-sector datasets, integrate new data sources into client-facing platforms, and translate client workflows into product features to advance FactSet’s Technology data offering.
**Expectations:**
- Minimum 5 years of relevant experience in technology or broader TMT sectors.
- Proven ability to extract, clean, transform, and validate large, complex data sets.
- Strong client‑centric mindset: collaborate with sales, consulting, data providers, and end users to capture requirements and deliver solutions.
- Experience in cross‑functional collaboration with engineering, QA, UX, and content teams.
- Capability to mentor junior team members and share best practices.
**Key Responsibilities:**
- Extract, transform, and load (ETL) large technology data sets, ensuring accuracy and consistency.
- Conduct human‑in‑the‑loop data curation and validation to maintain product quality.
- Engage with clients to uncover pain points, gather feature requests, and position offerings competitively.
- Translate client insights into product requirements, specifications, and user stories.
- Collaborate with engineering, QA, UX, and data teams to deliver end‑to‑end solutions.
- Develop and deliver presentations, demos, and training for internal stakeholders and external clients.
- Monitor competitive landscape for data partnership or acquisition opportunities.
- Mentor team members on content collection, integration processes, and workflow best practices.
- Identify opportunities for in‑house data ownership to reduce third‑party spend.
**Required Skills:**
- Bachelor’s degree in Finance, Economics, Computer Science, Statistics, or Engineering (Master’s preferred).
- Proficiency with data analysis and visualization tools: Excel, Power BI/Tableau, SQL, Python.
- Hands‑on experience preparing data for statistical and machine‑learning models.
- Familiarity with distributed data systems and cloud platforms (AWS, Azure, Databricks, Snowflake).
- Strong analytical, quantitative, and organizational abilities.
- Excellent written and verbal communication skills; ability to translate data findings into actionable narratives.
**Required Education & Certifications:**
- Bachelor’s degree in Finance, Economics, Computer Science, Statistics, or Engineering.
- Master’s degree preferred.
- CFA, CPA, or capital markets experience is a plus.