FactSet Help wanted

Hi everyone,

I’m currently working on my MSc thesis in finance and I’m looking to pay someone with strong FactSet experience to help me build a research dataset. I’ve reached the point where the technical data extraction is slowing me down significantly.

Project overview:
The goal is to construct a firm–year panel dataset measuring exposure to clean energy–themed ETFs, in order to study whether these ETFs affect firm investment, financing conditions, and market outcomes.

Data access:

• FactSet (Excel add-in + web/workstation)
• Moody’s Orbis

What needs to be built (core tasks):

• Identify a small universe (≈5) of clean-energy ETFs (e.g. ICLN, TAN, QCLN, PBW, CNRG or similar)
• Extract historical ETF holdings (quarterly or annual) from FactSet
• Map ETF constituents to firm identifiers (ISIN preferred)
• Aggregate ETF holdings to construct firm-level ETF ownership (%)
• Pull ETF flows and build a firm-level flow exposure measure
• Merge ETF exposure with firm fundamentals from Orbis (CAPEX, assets, leverage, etc.)
• Deliver a clean, well-documented Excel / CSV dataset ready for regression analysis

What I’m looking for:

• Someone who has actually worked with FactSet ETF holdings or ownership data before
• Comfortable with ETF constituent expansion, identifiers, and panel construction
• Able to deliver within 3–5 days
• Happy to explain the data structure briefly so I can defend it in my thesis

Deliverables:

• Clean dataset (Excel/CSV)
• Short data dictionary / explanation of construction steps

Compensation:

• Paid (open to reasonable rates — please DM with your experience and expected fee)

If you’ve done ETF ownership work, institutional ownership research, or academic data construction using FactSet, I’d really appreciate connecting.

Thanks in advance!