Top Analytics Jobs
As a Senior Manager of Data Analytics, you'll lead a team of analysts to drive insights and reporting for the New Propositions E-Commerce team. Responsibilities include managing data platforms, engaging with product teams to define KPIs, and transforming complex data into actionable insights. You will utilize your expertise in data visualization and analytics tools to empower the organization and enhance customer experiences.
The Senior Manager of Data Analytics will lead initiatives to reinvent retail returns by analyzing data, delivering insights, and building applications to enhance customer experiences. Responsibilities include fostering a high-performance culture, developing KPIs, conducting advanced statistical analysis, and driving growth strategies through in-depth user behavior analysis.
As a Staff Data Scientist, you will build complex models to enhance Underwriting and Operations by using advanced statistical techniques and machine learning. You will lead projects, communicate insights, and collaborate with technology partners, focusing on improving business efficiencies and developing tailored analytics solutions.
Lead a team of data scientists in delivering advanced statistical techniques and machine learning solutions for underwriting and operations. Collaborate with partners to drive analytics into products, enhancing decision-making and improving business outcomes. Present insights to executives and influence strategic decisions, while also guiding team development and recruitment efforts.
As a Data Engineer II, you will construct and operationalize complex data solutions, perform data analysis, ensure data quality and governance, and collaborate across teams to support analytic processes. Your role involves designing and deploying data solutions that enable business insights and AI-driven strategies.
The role involves planning and managing data-driven SEO, SEM, and PPC programs. Responsibilities include conducting keyword research, optimizing campaigns, analyzing performance data, and collaborating with writers and developers to enhance marketing strategies. Staying updated on digital marketing trends is essential.
The Associate Manager for Ecommerce Analytics and Insights will design and execute analytics strategies for American Girl, providing KPI reporting, insights to enhance digital data capabilities, and supporting stakeholders across various teams. The role requires expertise in dashboard creation and managing data accuracy across ecommerce platforms.
The People Analytics Data Scientist develops statistical algorithms and operationalizes them for data-driven HR decision-making. This role involves data engineering, enhancing HR processes, creating automation tools, and managing projects to support analytics initiatives within HR.
Featured Jobs
The Quantitative Analytics Senior at Freddie Mac evaluates model implementation risks, prepares validation documentation, manages validation projects, and collaborates with various teams to ensure effective oversight of model risk in financial applications.
The Quantitative Analytics Manager will oversee model risk management, validating and implementing models for credit, market, and counterparty risk. This role emphasizes collaboration with model owners, performing independent validations, and ensuring compliance with policies. A PhD or MS in a quantitative field is required, along with several years of experience in the mortgage industry.
As a Manager, Business Analytics & Reporting, you will analyze data from various sources, develop reporting deliverables, and provide actionable insights to executives. You will lead projects to enhance data reporting capabilities while working closely with teams across different functions within Match Group.
The Data Scientist II role focuses on analyzing data to enhance Tinder's recommendation algorithms and improve user engagement. Responsibilities include A/B testing, designing experiments, building forecasting models, and reporting insights to influence strategic decisions across product, marketing, and engineering teams.
The Product Analytics Engineer at GEICO will provide quantitative support and strategic insights to partners, utilizing data analysis and visualization tools to inform decision-making. Responsibilities include developing program delivery plans, managing delivery obstacles, and coordinating go-to-market strategies while ensuring adherence to product management best practices.
This role involves supporting the Data & Digital Services team by conducting advanced analyses and projects to derive actionable strategic insights. Responsibilities include delivering customized analytics, establishing stakeholder relationships, and developing data sets to enhance operational efficiency and strategic decision-making.
The GTM Analytics Manager will lead business performance metrics, provide data-driven insights for strategic planning, develop business intelligence solutions to support growth initiatives, and assist the executive team in decision-making processes.
This job requires managing and implementing data-driven SEO, SEM, and PPC programs, including campaign management and optimization, analytics management, and collaboration with web developers and marketing teams. The role also involves writing and communicating effectively, analyzing data, and making recommendations for marketing strategies.
Lead a team of developers to design and maintain an analytics platform for counterparty credit risk exposure calculations. Collaborate with various internal stakeholders to ensure compliance with regulatory requirements, develop and implement quantitative models, and manage system optimizations.
The Senior Data Scientist will lead various analytics initiatives to optimize product performance and improve customer experience on Expedia's platforms. Responsibilities include conducting complex experiments, collaborating with cross-functional teams, and providing strategic insights to drive decision-making and enhance the overall user experience.
As an Analytics Engineer at Beam, you will collaborate with various teams to enhance data usability and reliability, develop and maintain the data warehouse, and implement software engineering best practices in analytics processes.
As a Senior Data Scientist in Product Analytics at a leading fintech company, you will leverage data and analytics to drive informed decision-making and innovation in brokerage products. You will work on large analysis projects, develop machine learning models, design experiments, create data visualizations, and mentor team members.
The Senior Analytics Engineer will lead the establishment of data infrastructure, design data warehouses, and build data models and ETL pipelines to enhance product analytics and user engagement. This role balances strategic design and hands-on implementation while collaborating with leadership to address business requirements and promote data literacy.
The role involves collaboration across various departments to analyze reserve trends, ensuring compliance with regulations, and leading financial reporting. The individual will leverage advanced analytics, provide insights to minimize volatility in reserves, and oversee external consulting efforts.
The Predictive Analytics / AI Design Sr. Manager leads a team to develop and implement predictive models and AI solutions within the finance sector. They ensure the accuracy and relevance of predictive analytics, translate business needs into analytical projects, and drive improvements in model performance and decision-making processes. This role involves collaborating with various stakeholders and overseeing the training of end-users in using advanced analytics tools.
Develop predictive models and machine learning algorithms to optimize financial processes. Conduct exploratory data analysis to identify patterns, collaborate with teams to design analytical solutions, and build the Data Analytics function as the company expands.
The Manager of Credit Analytics at Above Lending will lead initiatives to improve loan performance and reduce credit losses. Responsibilities include analyzing credit data, developing business strategies, managing business requirements, and collaborating with cross-functional teams to enhance the underwriting process.
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