Data Analyst- Asset Management / Investments

Overview HTC Global Services is seeking a Data Analyst – Asset Management to strengthen our client’s investment operations through advanced data analytics and reporting. The ideal candidate combines hands-on Snowflake expertise with a deep understanding of asset management workflows to deliver insights that drive business and portfolio performance. Key Responsibilities Analyze large, complex datasets from portfolio, trading, and operations systems using Snowflake and SQL. Build and optimize data pipelines and ETL processes to support investment analytics, risk reporting, and compliance dashboards. Partner with investment, operations, and compliance teams to translate business questions into analytical deliverables. Develop and maintain dashboards, reports, and KPIs that support investment decisions and regulatory requirements. Ensure data quality, lineage, and governance across data sources. Perform performance tuning and troubleshooting within Snowflake to maintain efficient data models and queries. Conduct ad hoc analysis to support front-office and middle-office initiatives. Required Qualifications 3+ years of experience in the asset management or investment operations domain. Advanced proficiency in Snowflake (data modeling, query optimization, performance tuning). Strong SQL skills; ability to write and debug complex queries. Working knowledge of mutual funds, ETFs, portfolios, and common investment data structures. Bachelor’s degree in Computer Science, Finance, Engineering, or a related field. Preferred Qualifications Experience with cloud platforms (AWS, Azure) and ETL tools. Familiarity with regulatory reporting such as SEC filings or MiFID II. Programming experience in Python or R for advanced analytics or automation. Strong communication skills and ability to work across investment, risk, and compliance functions. Why Join This role offers the opportunity to play a key part in the digital transformation of asset management analytics, enabling better data-driven decisions across investment and operational teams. #LI-MJ1 #LI-Onsite