The company is looking to leverage data to drive business initiatives and strategies, requiring analysis of complex data sets to identify trends, patterns, and actionable insights. They need to design and implement data models and algorithms for predictive analysis and communicate findings to stakeholders.
Requirements
- 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.
Responsibilities
- Analyze complex data sets to identify trends, patterns, and actionable insights.
- Design, Develop, and maintain dashboards and reports to communicate findings to stakeholders.
- Design and implement data models and algorithms for predictive analysis.
- Ability to use JIRA and other project management tools, as the technology lead.
Other
- Ability to be a hand-on lead for analytics and software engineering teams.
- Partner with other technology and business stakeholder to support business initiatives and data-driven strategies.
- Present analytical findings and recommendations to management and key decision-makers.
- At least 7 years of experience in data science, data analysis or a related field.
- 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.
