Data Management & Analytics Team Lead

Job Summary

Job Title : Data Management & Analytics Team Lead

Responsibilities

• Leads and mentors analytics team members and delegates responsibilities effectively within the analytics team, fostering a culture of accountability and collaboration, and optimizing team performance to achieve project objectives and business targets.
• Handles analysis of complex datasets using advanced statistical methods and machine learning techniques to uncover deep insights that inform strategic business decisions and operational efficiencies.
• Creates sophisticated predictive models and data visualizations, utilizing tools like Python, R, and Palentir, to forecast trends, patterns, and anomalies for proactive decision-making, working under limited supervision.
• Develops, documents, and disseminates comprehensive methodologies, processes, and analytical findings, ensuring transparency, reproducibility, and facilitating cross-functional knowledge sharing and collaboration.
• Presents complex data-driven insights and strategic recommendations to senior stakeholders, effectively translating intricate analytical results into clear, actionable business strategies and influencing key decision-making processes.
• Monitors, maintains, and continuously improves the performance of deployed models, conducting regular reviews, updates, and optimizations to ensure sustained accuracy, relevance, and business impact.
• Interacts and collaborates with cross-functional teams, including IT, data engineering, and various business units, to ensure the successful operationalization, integration, and scaling of data science solutions across the organization.

Minimum required Education

Bachelors / Masters Degree in Information Management, Information Systems, Computer Science, Data Analytics or equivalent.

Minimum required Experience

Minimum 8-9 years of people leader experience with Bachelors/Masters in areas such as Data Analytics, Data Modeling or equivalent

Preferred Skills

• Data Analysis & Interpretation
• Data Harmonization & Processing
• Data Modeling
• Data Quality Assurance
• Statistical Methods
• Structured Query Language (SQL)
• Machine Learning Engineering Fundamentals
• Data Mining
• Business Intelligence Tools

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