Data Analytics Manager

Data Analysis Manager - ES Risk Analytics📍 Location: New York, New York, United States🏢 Industry: Financial Services💼 Work Setting: On SiteAre you passionate about transforming data into strategic insights, leading high-performing analytics teams, and leveraging advanced analytics to drive business growth and customer value? We are seeking an experienced Data Analytics Manager to lead data-driven initiatives, develop analytical models, and deliver actionable insights that influence strategic decision-making across the organization.In this role, you will lead a team of analysts and data professionals responsible for extracting insights from complex datasets, developing predictive and statistical models, and identifying opportunities to improve business performance. You will collaborate closely with stakeholders across multiple functions to solve business challenges through data, analytics, and technology.Key ResponsibilitiesAnalytics Strategy & LeadershipLead and develop a team of analytics professionals responsible for delivering data-driven business insights.Establish priorities, provide coaching, and foster a culture of innovation, continuous learning, and analytical excellence.Drive analytics strategies that support business objectives and improve operational performance.Partner with leadership teams to identify opportunities where data can create measurable business value.Data Analysis & Business InsightsAnalyze large, complex datasets to uncover trends, patterns, risks, and growth opportunities.Translate analytical findings into actionable recommendations for business leaders and stakeholders.Support strategic decision-making through data-driven insights and performance analysis.Develop reporting frameworks and dashboards that improve visibility into key business metrics.Modeling & Advanced AnalyticsDesign, develop, and implement predictive, statistical, and analytical models to solve business challenges.Leverage advanced analytics techniques to improve customer experiences, operational efficiency, and business outcomes.Evaluate model performance and continuously optimize analytical solutions.Drive experimentation and data-driven problem solving across the organization.Data Management & TechnologyUtilize modern data platforms, databases, and big data technologies to manage and analyze large-scale datasets.Ensure data integrity, accuracy, and consistency across analytics solutions.Support the adoption of scalable analytical tools, frameworks, and automation processes.Collaborate with engineering and technology teams to improve data accessibility and analytics capabilities.Cross-Functional CollaborationPartner with business, product, operations, technology, and leadership teams to understand business needs and develop analytical solutions.Present findings, recommendations, and strategic insights to senior stakeholders.Act as a trusted advisor by communicating complex analytical concepts in a clear and actionable manner.Support business initiatives with quantitative analysis and performance measurement.Process Improvement & InnovationIdentify opportunities to improve operational efficiency through analytics and automation.Develop innovative approaches to solving business problems using data science and analytical methodologies.Champion best practices in data visualization, reporting, model development, and analytics governance.Stay current on emerging analytics technologies and industry trends.Required QualificationsBachelor's or Master's degree in Statistics, Mathematics, Data Science, Computer Science, Economics, Engineering, Business Analytics, or a related quantitative field.Minimum 4 to 6+ years of experience in Data Analytics, Business Analytics, Data Science, or a related discipline.Experience leading or mentoring analytics professionals and managing analytical projects.Strong expertise in data analysis, statistical modeling, and business intelligence.Advanced proficiency in:PythonSQLRSparkExperience working with large-scale datasets and modern data platforms.Strong problem-solving, critical thinking, and analytical skills.Excellent communication and stakeholder management abilities.Ability to translate complex data into meaningful business recommendations.Preferred Technical SkillsData AnalysisData MiningStatistical ModelingPredictive AnalyticsData VisualizationSQLPythonRSparkBig Data TechnologiesDatabase ManagementBusiness IntelligenceDashboard DevelopmentMachine LearningCloud Analytics PlatformsAWS Analytics ServicesKey CompetenciesLeadership & Team DevelopmentStrategic ThinkingBusiness AcumenStakeholder ManagementData-Driven Decision MakingProblem SolvingCommunication & PresentationProject ManagementInnovation & Continuous Improvement