Data Analyst

Description

Reports To: SVP - Information Technology

We are seeking a highly analytical and detail-oriented Data Analyst to support our energy trading operations. This role requires a strong foundation in data management and analysis, with a focus on SQL, Python, Excel, and Power BI. The ideal candidate will have hands-on experience in energy trading environments and a deep understanding of market dynamics and business operations.

- Design, develop, and maintain SQL queries, tables, and views to support trading analytics and reporting.

- Import, clean, transform, and export large datasets from various internal and external sources.

- Build and automate data pipelines to streamline data flow and ensure data integrity.

- Develop dashboards and reports using Power BI, Excel, and Python to support decision-making across trading desks.

- Collaborate with traders, risk managers, and IT teams to understand data needs and deliver actionable insights.

- Monitor market data feeds and ensure timely and accurate data availability for trading strategies.

- Support compliance and audit requirements through accurate data documentation and traceability.

Qualifications

Required Qualifications:

- Bachelor’s degree in Data Science, Computer Science, Finance, or a related field. - 3+ years of experience in a data analyst or similar role, preferably in an energy trading environment.

- Proficiency in SQL for querying, data modeling, and performance tuning.

- Strong skills in Python for data analysis and automation.

- Advanced Excel skills, including pivot tables, macros, and complex formulas.

- Experience with Power BI for building interactive dashboards and visualizations.

- Experience with importing/exporting data across systems and formats (e.g., CSV, APIs, databases).

- Deep understanding of energy markets, trading operations, and market data structures.

Preferred Qualifications:

- Familiarity with energy trading platforms (e.g., ETRM systems).

- Knowledge of risk management and regulatory reporting in energy trading.