Remote Senior ETF Data Lead for Analytics

PeopleForce; United States; Remote; USD 120,000 - 150,000; Full time

Benefits offered by this job

401(k)

Medical, Dental and Vision

Remote work from NY

Job summary

ETFBOOK is seeking a Senior ETF Data Analyst for the US market. This remote role focuses on shaping data and analytics for institutional clients worldwide, delivering trusted ETF data and analytics through APIs and web applications.

You will join a skilled data team, mentor junior analysts, and report to the Head of Data. Strong Python/R/SQL, Databricks, and finance knowledge are required; 100% remote from New York State with growth opportunities.

Qualifications

• 8+ years in data analytics or data science, ideally in finance/ETF-related roles.
• Master's degree in finance, data analysis, or data science preferred.
• Strong Python/R/SQL skills and data visualization experience.
• Experience delivering data products for institutional clients and cross-functional teams.
• Excellent communication skills and ability to mentor junior analysts.

Responsibilities

• Defines ETF data and analytics content for institutional clients across global markets (EMEA, AMER, APAC).
• Shapes data content available through ETFbook platform, Web App, and APIs to meet client needs.
• Collaborates with Business, Tech and Product for depth and breadth of analytics.
• Delivers end-to-end ETF data content including reference, holdings, performance and liquidity data.
• Ensures data quality and integrity across ETFbook solutions and works with Data Engineers on automation.

Skills

Python

R

SQL

Data visualization

Databricks

English comms

Education

Master's degree in finance/data science or related field

Tools

Databricks

Job description

ETFBOOK is seeking a Senior ETF Data Analyst for the US market. This remote role focuses on shaping data and analytics for institutional clients worldwide, delivering trusted ETF data and analytics through APIs and web applications.

You will join a skilled data team, mentor junior analysts, and report to the Head of Data. Strong Python/R/SQL, Databricks, and finance knowledge are required; 100% remote from New York State with growth opportunities.