Top Analytics Jobs
The Data Scientist will leverage data science techniques to extract insights from customer data within the Customer Data Platform. Responsibilities include developing predictive models, implementing machine learning algorithms for personalization, collaborating with marketing and sales teams, creating visualizations, and ensuring alignment of initiatives with business objectives.
As a Quantitative Analytics Senior, you will evaluate model risks, perform independent validations, manage model validation projects, and ensure compliance with policies and standards in regard to model oversight at Freddie Mac.
The People Analytics Insight Partner will leverage global data to analyze and drive insights on employee engagement and turnover. Responsibilities include designing data connection methods, uncovering hidden patterns, and presenting findings to various audiences, including C-Suite executives, to influence company decisions and initiatives.
The Integrity & Compliance Global Analytics Lead will create and implement analytic strategies for the Indivior Global I&C Program, generating insights and standardized tools while improving compliance metrics through data analysis and BI solutions. Responsibilities include managing data sets, designing BI reporting systems, and ensuring data quality.
As a Quantitative Analytics Manager, you will oversee MF portfolio credit risk, conduct risk assessments, and provide analytical support for decision-making within the Enterprise Risk Management Division. Your role involves ensuring models capture risks appropriately, monitoring market trends, and collaborating with various teams.
As a Risk & Controls Model Senior, you will evaluate model risk and test model controls for Single-Family. You will document your findings, work closely with model owners and developers, communicate technical issues to various stakeholders, and maintain high standards in model controls testing.
The Data Analytics Consultant will provide critical insights to financial institution clients by conducting in-depth analyses and developing actionable recommendations. Responsibilities include managing data lifecycles, creating dashboards, and leading client engagements to present findings and strategic recommendations.
The Principal Predictive Analytics Consultant leads the analytics team in designing and delivering solutions like Automated Underwriting and Risk Scoring. Responsibilities include managing complex datasets, developing predictive models, ensuring solutions meet business objectives, and presenting findings to stakeholders.
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This role involves managing the data and analytics program for Revenue Cycle Optimization, leading strategic initiatives, performing financial performance analysis, ensuring accountability for ROI outcomes, preparing performance reports, and training team members on analytics tools and methodologies.
The BI Developer will facilitate communication between the Data Reporting Team and customers to align software objectives with business needs. Responsibilities include understanding business requirements, creating specifications for reports and dashboards, managing project delivery, and providing support during implementation.
The Senior Manager, Data & Analytics will lead the data initiatives at Rent by transforming complex data into actionable insights. Responsibilities include managing a team, defining data strategies, ensuring data governance, driving innovative analytics projects, and collaborating with cross-functional teams to meet data needs.
The Sr. Data Scientist will maintain and create Power BI reporting solutions, collaborate with cross-functional teams to understand requirements, implement data engineering solutions, validate analytical tools, and provide insights to improve business objectives using data.
The Sr. Analyst, Supply Strategy & Analytics will work closely with Product and Field Operations teams to optimize CarMax's supply chain. Responsibilities include analyzing acquisition strategies, designing tests for product effectiveness, enhancing analytical tools, and monitoring performance metrics.
Lead data analytics initiatives at Republic Services, a leader in the environmental services industry. Analyze data to drive sustainable growth and improve operational efficiencies. Collaborate with teams to provide insights and guide decision-making processes.
Lead data analytics initiatives for Republic Services, a leader in the environmental services industry. Drive profitable growth through managing customers' waste streams and advancing sustainability goals. Oversee a team dedicated to data analysis and strategic decision-making.
Lead data analytics initiatives for Republic Services, a leader in the environmental services industry. Analyze and interpret data to drive strategic decisions, optimize business processes, and enhance sustainability efforts. Collaborate with cross-functional teams to deliver insights and solutions. Contribute to the company's growth strategy through data-driven recommendations.
The Senior Manager of Supply Strategy & Analytics at CarMax will lead a team of analysts to optimize the supply chain process, focusing on vehicle acquisition and the allocation of cars across stores. The role involves strategic direction, collaboration with business leaders, and presenting insights to executives for informed decision-making.
As a Manager of Strategy & Analytics, you will collaborate with product and operations teams to optimize the supply chain, define strategic directions, present data-driven recommendations, and ensure effective execution through KPI setting and monitoring.
The Staff Ecommerce Analytics Manager will drive ecommerce insights, build scalable data solutions, and lead cross-functional efforts to optimize performance for various brand objectives. Responsibilities include solving analytical problems, creating an analytics roadmap, leading scrums, mentoring team members, and ensuring stakeholder alignment in a hybrid work environment.
The Data Analytics and AI Solutions Lead will design scalable AI and data analytics solutions, discover new business opportunities, manage stakeholder relationships, and drive continuous improvement in processes and methodologies. This role requires collaboration with senior executives and a strong understanding of financial services to effectively implement innovative data-driven solutions.
As a Market Risk Analytics Associate, you will develop and manage analytics for risk models including value-at-risk and stress testing. Responsibilities involve executing functional testing, developing and implementing risk analytics for new products, performing quantitative research, and enhancing analytics infrastructure, while collaborating with stakeholders and creating tools to improve risk analysis.
The AWS Big Data and Analytics Architect will develop and implement data solutions, define an analytical technology roadmap, and collaborate with business leaders to establish analytics strategies. The role involves mentoring team members, creating prototypes, and driving advanced analytics initiatives across the organization.
The Supervisor, Client Reporting + Analytics leads a team of Data Insight Analysts, providing mentorship and ensuring the accurate and timely delivery of operational reports. They collaborate with cross-functional teams, monitor performance, and drive continuous improvement initiatives. This role requires a mix of technical skills in data analysis and leadership abilities to inspire the team.
As a Software Engineer focusing on Data Analytics, you will develop tools and processes for autonomy software, optimize data pipelines, ensure data quality, and produce actionable insights through reports and dashboards, collaborating with stakeholders on performance metrics.
The Manager of Digital Analytics and Omnichannel leads the delivery of digital and omnichannel initiatives for assigned accounts, focusing on client relationship management, project oversight, and the development of best-in-class standards in marketing efforts. They ensure success through collaboration with teams and proficiency in emerging digital trends related to the life sciences industry.
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