Data Analyst

Company Description
PortfolioFuture is an independent fund discovery and intelligence company focused on rigorous empirical research on ETFs and mutual funds. The organization evaluates and ranks funds, highlighting where they can credibly compete for allocations in investor and advisor portfolios. Its work includes fund substitution analysis, relative performance assessment, and investable return decomposition to clarify what each product genuinely adds to a portfolio. For asset managers, PortfolioFuture links independent fund research with portfolio and ownership intelligence to reveal evidence-based opportunities for product distribution. All research is fully independent, with commercial relationships never influencing rankings, findings, or which funds are surfaced.
Role Description
This remote Data Analyst internship role involves supporting the research team in analyzing ETF and mutual fund data to inform fund rankings and portfolio evaluations. Interns will collect, clean, and organize large datasets, build and refine data models, and apply statistical techniques to assess fund performance and substitution opportunities. Day-to-day responsibilities include generating analytical insights, preparing clear data summaries and visualizations, and helping document methodologies and results for internal and external stakeholders. The role also includes collaborating with team members to improve data pipelines, validate findings, and contribute to reports and presentations. This is an internship position designed to provide hands-on experience in data analytics within a specialized financial research environment.
Qualifications
Strong analytical skills and experience with data analytics tools and workflows.
Foundational knowledge of statistics, including descriptive analysis, inference, and regression concepts.
Ability to design and interpret data models, with interest in financial or investment datasets.
Clear written and verbal communication skills for explaining methods and insights to technical and non-technical audiences.
Familiarity with programming or scripting languages used in data analysis (e.g., Python, R, or similar) and spreadsheet tools.
Enrollment in or completion of studies in a quantitative, finance, economics, or related field is preferred.
Detail-oriented, self-directed, and comfortable working independently in a remote environment.
Interest in capital markets, investment products, and empirical financial research is highly beneficial.

Work arrangement
Yes