Open to opportunities

Brock Lange

@brocklange

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Data analyst specializing in quantitative research, SQL, Python, and Power BI.

United States

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What I'm looking for

I seek a data-focused role where I can apply SQL, Python, and BI tools to streamline workflows, solve complex investment data problems, and drive actionable insights within a collaborative, growth-oriented team.

I am a data analyst with 4+ years of experience in quantitative research and client data analytics, focused on solving complex data problems with SQL, Python, Snowflake, and advanced Excel. I serve as a subject matter expert across 50+ investment strategies and partner with product teams to deliver accurate, timely data for internal client-facing teams.

I build and maintain Power BI dashboards and create automated processes to streamline recurring workflows—such as a bot that booked 50+ daily cashflows and improved productivity by 25%. I independently investigate complex ad-hoc issues, optimize business workflows, and transform multi-source investment data into client-defined templates.

I hold a B.S. in Actuarial Science with minors in Statistics, Mathematics, and Finance, and continuously expand my skills through certifications (Kaggle Python, Intro to Programming) and industry engagement. I am driven to learn and apply emerging data techniques to deliver actionable, strategic insights.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst

Current

Principal Asset Management

Sep 2022 - Present (3 years 4 months)

Serve as subject matter expert for 50+ investment strategies, delivering accurate client-facing data and building Power BI dashboards to provide strategic insights; streamlined recurring processes using SQL, Python, and Snowflake. Optimized workflows and reduced escalations by independently solving complex data issues.

SQL Python Snowflake Power BI Excel Modeling Data Visualization Data Analysis ETL

Investment Operations Specialist

Principal Asset Management

Jan 2021 - Sep 2022 (1 year 8 months)

Supported front-office decisions with timely portfolio-level data, created process efficiencies, and built an automated bot to book 50+ daily cashflows, increasing team productivity by 25%. Performed overdraft forecasting for 30+ portfolios and resolved complex ad-hoc issues.