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.
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