Reporting BI Developer

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:

• 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.