Insights Associate - Public Investor

Consumer Edge; Greater London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading consumer data provider is seeking an Insights Associate to derive and communicate actionable insights on stocks, industries, and geographies. The role involves guiding investors through data interpretation during live presentations and processing financial information. Candidates should be based in London or Dublin and can work either hybrid or possibly remote. Strong analytical skills and experience in financial data modeling are required for this position.

Qualifications

• Strong analytical skills with the ability to derive actionable insights.
• Experience in guiding presentations and communicating with investors.
• Proficiency in financial information processing and data modeling.

Responsibilities

• Derive and communicate insights on individual stocks, industries, and geographies.
• Guide investor customers on relating data to real‑world trends.
• Demonstrate data modeling of company‑reported metrics.

Job description

Consumer Edge is the leading provider of consumer data for some of the largest hedge funds, venture capital and private equity firms, and corporations in the United States and Europe. We arm our clients with actionable consumer, competitive, and market insights that drive better investment and strategic decisions.

Role summary

The Insights Associate will derive and communicate actionable insights on stocks, industries, and geographies using proprietary data, while guiding investors through data interpretation and modeling during live presentations. It also involves processing financial information, analyzing real world factors, and developing public‑facing content, along with completing special projects and reports.

Note: This role is based in either London or Dublin; we're seeking candidates who are based there and can work hybrid or possibly remote.

Responsibilities

• Derive and communicate insights on individual stocks, industries, and geographies using proprietary data sources through written reports and direct communication.
• During presentations, guide investor customers on relating data from multiple datasets to real‑world trends, highlighting key takeaways.
• Demonstrate data modeling of company‑reported metrics, focusing on nuances and potential blind spots on a symbol‑specific or data product basis.
• Process