Data Analyst at Avenir Group

The Data Analyst position at Avenir Group requires a blend of technical expertise, business acumen, and strategic thinking to drive data-driven decision-making in the securities business. Key responsibilities span across business analysis, data modeling, trading insights, project implementation, and compliance.

• Technical Proficiency: Must be skilled in SQL and Python for ETL processes and data validation.
• Business Knowledge: Requires solid understanding of HK/US stocks, ETFs, and options to transform data into actionable business insights.
• Analytical Skills: Ability to develop comprehensive metrics, standardized reporting, and BI dashboards.
• Project Management: Experience leading requirement reviews, scheduling, and acceptance testing.
• Compliance Awareness: Collaborate with risk/compliance teams to establish monitoring rules and ensure auditability.

Avenir Group, likely a financial services or securities firm, is seeking a Data Analyst to enhance their data-driven decision-making capabilities. The detailed job description suggests a focus on strategic initiatives and cross-functional collaboration, indicating a need for candidates who can bridge technical data analysis with business strategy. The emphasis on compliance and risk management highlights the firm's regulatory environment, typical in the securities industry. The preference for candidates with brokerage operations knowledge and English proficiency suggests an international scope or clientele.

From an interviewer's perspective, the ideal candidate should demonstrate a strong balance between technical skills and business understanding. Key areas of evaluation will include the candidate's ability to translate complex data into actionable insights, their experience with securities data, and their proficiency in SQL/Python. Behavioral questions may focus on cross-functional collaboration and project management experiences. Additionally, the interviewer will look for evidence of compliance awareness and risk management skills, given the regulatory nature of the securities industry.