*Client is a private equity firm
Key Responsibilities:
- Data Collection & Processing:
- Collect, clean, and structure large datasets to ensure accuracy and consistency
- Write and optimize SQL queries to extract and manipulate data efficiently
- Utilize Python for advanced data processing and analytics across multiple industries
- Automate data workflows to reduce manual effort and improve operational efficiency
- Data Analysis & Insights:
- Apply statistical analysis and machine learning techniques to detect patterns, trends, and anomalies
- Develop predictive models to support business decision-making
- Translate complex datasets into clear, actionable insights for internal and external stakeholders
- Visualization & Reporting:
- Design and develop interactive dashboards and reports using Power BI
- Create visualizations that enhance understanding and facilitate data-driven decision-making
- Support ad-hoc reporting requests and internal data analyses
- Collaboration & Communication:
- Work closely with cross-functional teams to identify business needs and data opportunities
- Present findings and recommendations to senior leadership and stakeholders
- Ensure seamless data integration across departments for enhanced efficiency
Required Skills & Qualifications:
- 1–3+ years of experience in a technical or analytical role
- Strong proficiency in SQL and Python for data processing and analysis
- Experience with business intelligence tools, particularly Power BI
- Knowledge of data modeling, dataset management, and relational database structures
- Business Acumen & Industry Knowledge:
- Experience in private equity, investment management, or M&A is preferred
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