Deliver end‑to‑end solutions supporting risk management and compliance objectives, leveraging capabilities in data management, ETL, visualizations, statistical analysis, and ML/advanced analytics.
Build, maintain, and enhance analytics solutions, including workflows, dashboards, models, and other advanced analytics processes.
Conduct hypothesis-driven and ad hoc analyses across multiple data sources, structured and unstructured.
Partner with cross-functional teams to understand business needs, align deliverables, and support data-driven decision making.
Translate complex results into clear, actionable insights for both technical and non-technical stakeholders.
Lead QC strategy to mitigate data quality issues, automate detection of QC issues, and drive process improvements that enhance overall data quality.
Develop and maintain documentation of projects and processes to support reproducibility and knowledge sharing.

Bachelor’s degree required. A degree in a quantitative field such as statistics, mathematics, engineering, or computer science is preferred.
5-7 years of experience in analytics or data science, preferable within complex or regulated environments; candidates with fewer years of experience may be considered with demonstrated expertise or proven achievements.
Strong understanding of data analytics methodologies, visualization techniques, and insight delivery.
Working knowledge of statistics and machine learning concepts.
Strong experience with ETL and automation tools is required, Alteryx, Dataiku preferred.
Strong experience with at least one viz tool, Tableau preferred.
Strong experience with SQL and at least one programming language (e.g., Python, R).
Strong organizational and project management skills, with the ability to manage time and prioritize effectively.
Strong learning agility with strategic, analytical, and critical thinking skills.
Ability to communicate complex analytical concepts, methods, and results into simple, actionable insights for non-technical stakeholders.
Excellent written and verbal communication and presentation skills.

Manager, Analytics – Data Science

Key skills