A financial firm is looking for a Reporting BI Developer to join their team in New York, NY.

Compensation: $100-170k base

Responsibilities:

Develop and Maintain Reports: Build interactive and automated dashboards in Power BI to provide insights for portfolio managers, risk teams, and operations. Data Analysis & Processing: Use Python (Pandas) and R for data transformation, statistical analysis, and reporting. Web-Based Reporting Solutions: Develop lightweight web applications using Node.js and Flask to deliver financial and operational insights. AWS Cloud Integration: Leverage AWS services such as S3, Lambda, RDS, EventBridge, SNS, and Step Functions to manage data workflows and reporting pipelines. Database Management: Design and optimize SQL and NoSQL databases to ensure efficient data retrieval and storage for reporting solutions. Automation & Workflow Orchestration: Automate data collection, transformation, and reporting processes using AWS and scripting techniques, as well as Power Query, Power Automation. Business Analytics & Fund Operations: Collaborate with front-office, middle-office, and back-office teams to translate operational and portfolio data into actionable insights. Performance Optimization: Enhance the efficiency of data models, ETL pipelines, and dashboards for real-time and batch reporting.Qualifications:Required Power BI – Strong experience in building interactive dashboards, DAX queries, and Power Query. Python (Pandas) – Proficient in data wrangling, analysis, and scripting. Web Development – Experience in Node.js and Flask preferred. R Programming – Familiarity with statistical analysis and reporting in R. AWS – Hands-on experience with AWS services like S3, Lambda, EventBridge, SNS, Step Functions. Database Management – Strong SQL skills and experience with relational databases (PostgreSQL, MySQL) and NoSQL solutions. Experience in hedge fund, asset management, or financial services is strongly preferred. Understanding of fund operations, portfolio analytics, and risk reporting. Strong problem-solving and analytical mindset. Excellent communication skills to work with stakeholders across technology, investment, and operations teams. Ability to work in a fast-paced environment with tight deadlines.Preferred Experience with CI/CD pipelines and DevOps practices. Knowledge of quantitative finance, risk management, and trading systems. Exposure to machine learning or data science applications in finance.