Manager

• Leads discussions with cross-functional business partners and teams to understand and collaborate on complex business objectives.
• Shapes solution strategies and outcomes by leveraging broad knowledge of the business and overseeing collaboration across teams to ensure alignment and effectiveness.
• Uses breadth of expertise in data analysis to deliver insights that enable informed decision-making.
• Develops and implements advanced or innovative mathematical, statistical, and quantitative techniques to solve medium-to-large scale business problems that significantly impact current and future business strategies.
• Leads the creation of descriptive or explanatory models and oversees effective use of them.
• Analyzes large datasets to identify trends, patterns, and business opportunities.
• Leverages interactive data visualization tools and statistical techniques such as distribution analysis, correlation analysis, outlier detection, multivariate analysis, time series, machine learning, and others to uncover hidden insights.
• Conducts comprehensive exploratory data analysis (EDA) to uncover opportunities including testing hypotheses and validating findings with business partners.
• Coordinates with cross-functional technical teams including IT, data scientists, data engineers and others to ensure data integrity and optimize data pipelines.
• Identifies data quality issues and collaborates to resolve them.
• Assists deployment and monitoring of complex-to-highly complex predictive models into workflows.
• Leads the transformation of technical data insights into communications and presentations for non-technical business partners and leadership to ensure data-driven insights and recommended action plans are easily understandable.
• Uses advanced storytelling approaches to make complex information more accessible and guide stakeholders to adopt a certain point of view.
• Oversees the collection and integration of data from a variety of sources and transforms disparate datasets in to cohesive datasets for analysis.
• Assesses data quality and implements data hygiene techniques to ensure accuracy and consistency.
• Leads data reliability efforts by managing data quality checks, data documentation processes, and collaboration with experienced analysts for peer review and data validation.
• Supervises, guides, coaches, and manages the performance of direct reports.
• Delivers regular feedback and supports professional development.

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