Key Responsibilities:
- Ability to be a hand-on lead for analytics and software engineering teams.
- Analyze complex data sets to identify trends, patterns, and actionable insights.
- Design, Develop, and maintain dashboards and reports to communicate findings to stakeholders.
- Partner with other technology and business stakeholder to support business initiatives and data-driven strategies.
- Design and implement data models and algorithms for predictive analysis.
- Present analytical findings and recommendations to management and key decision-makers.
- Ability to use JIRA and other project management tools, as the technology lead.
Required Skills and Qualifications:
- At least 7 years of experience in data science, data analysis or a related field.
- Proficiency in data manipulation tools and ETL tools (SQL). Fluency in PySpark is a plus.
- Proficiency with data analysis tools (e.g., SQL, Python, R) and visualization software (e.g., Tableau, Power BI).
- Strong analytical skills with experience in statistical methods and modelling techniques.
- Excellent communication skills, both verbal and written, with the ability to convey complex data insights to non-technical stakeholders.
- Experience in retail or investment banking is a plus.
