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Sharp Decisions is seeking a senior Data Developer (Power BI) with 7+ years of business intelligence and analytics experience, including deep hands-on expertise with Power BI, Snowflake, and investment management data. This role will design, develop, and support scalable analytical solutions used across investment, risk, performance, and operational functions.
The ideal candidate will have extensive experience building enterprise-grade Power BI solutions, developing complex DAX and SQL queries,
We are seeking a senior-level Data Developer (Power BI) with 7+ years of business intelligence and analytics experience, including deep hands-on expertise with Power BI, Snowflake, and investment management data. This role will design, develop, and support scalable analytical solutions used across investment, risk, performance, and operational functions.
The ideal candidate will have extensive experience building enterprise-grade Power BI solutions, developing complex DAX and SQL queries, optimizing semantic models, and working with large financial datasets in Snowflake. The candidate must have direct experience supporting asset management or institutional investment organizations and a strong understanding of core investment data, including portfolios, positions, transactions, securities, benchmarks, exposures, and performance.
Title: Power BI - Data Engineer
Location: Remote
Type: Long-Term Contract
No C2C, Only W2
Experience: 7+ year
Industry: Financial Services/Investment
We are seeking a senior-level Data Developer (Power BI) with 7+ years of business intelligence and analytics experience, including deep hands-on expertise with Power BI, Snowflake, and investment management data. This role will design, develop, and support scalable analytical solutions used across investment, risk, performance, and operational functions.
The ideal candidate will have extensive experience building enterprise-grade Power BI solutions, developing complex DAX and SQL queries, optimizing semantic models, and working with large financial datasets in Snowflake. The candidate must have direct experience supporting asset management or institutional investment organizations and a strong understanding of core investment data, including portfolios, positions, transactions, securities, benchmarks, exposures, and performance.