Top Analytics Jobs

As a Data Analyst at OptiFreight Logistics, you will analyze data to uncover insights, develop analytical tools, and drive decision-making within the logistics sector. Your responsibilities will also include collaborating with various teams to enhance client experiences through informed strategies and creative problem-solving.

As a Social Analytics & Insights Trainee, you will support the Research, Strategy & Analysis team by monitoring social media campaigns, analyzing social KPIs, creating presentations, and conducting desk research to inform marketing strategies.

The Senior Analytics & Reporting Analyst will create reports and analytics to support the division. They will analyze data related to strategic initiatives, produce datasets, and work with business and data teams to identify trends. This role involves building relationships with customers, solving complex business problems using data, and ensuring the accuracy of reports.

The Sr Analytics Consultant is responsible for constructing forecasts, delivering executive-level reporting, and developing strategic plans based on business data. This role involves analyzing complex problems, creating specifications for reports, and developing advanced analytic models. The consultant provides insights to decision-makers, streamlines processes, and engages with cross-functional teams to address various business issues.

The Quant Strategist will develop and enhance quantitative models for risk management, asset/liability modeling, and client engagement. This involves modeling insurance company capital evolution, constructing risk scenarios, developing statistical approaches, and communicating complex concepts clearly to clients.

The Assistant Vice President of Supported Models will manage cross-functional projects focusing on data analysis and project execution. Responsibilities include project planning, stakeholder communication, identifying project risks, and utilizing data for strategic decision-making.

The Manager, Data Analytics at McKesson develops data solutions to support customer growth and formulary expansion, manages customer programs, forecasts economic impact, and provides internal consulting services on program initiatives. Responsibilities include overseeing business reporting, defining best practices for data management, and contributing to strategy development. Requires 7+ years of relevant experience and proficiency in T SQL, Microsoft Excel, and reporting platforms like SSRS and Tableau.

The Lead Data and Analytics Engineer will create data pipelines, automate data science models, and collaborate with data science teams. Responsibilities include designing and implementing machine learning solutions, conducting code reviews, mentoring data engineers, and managing analytics projects to improve business metrics and processes.

The role focuses on managing catastrophe exposure related to climate change at USAA. The executive will collaborate with product lines and underwriting to develop exposure management solutions, lead a team, and ensure alignment with regulatory initiatives while utilizing data and AI tools.

Experienced fraud individual that provides decision support for business areas across the enterprise. Responsible for applying mathematical and statistical techniques to draw conclusions and make recommendations to drive change. Involves gathering, manipulating, and synthesizing data to implement strategies.

Lead Data Scientist responsible for developing and implementing quantitative solutions to prevent identity theft and fraud at USAA. Partner with internal teams to deploy machine learning models and graph analytics techniques. Work on financial crimes graph database strategy, identify criminal networks engaging in fraud, and integrate new data sources for improved predictive power.

Fraud Strategy & Analytics Lead at USAA responsible for providing decision support for business areas using mathematical and statistical techniques to draw conclusions and make recommendations. Tasks include leading discussions, applying advanced analytical techniques, organizing requirements, incorporating visualization, monitoring emerging technology, and delivering complex analysis to influence business decisions.

As a Senior Manager, you will lead demand forecasting efforts and analyze workforce plans and site capacity to inform strategic planning. Collaborating with WFP and RE teams, you will synthesize data to provide actionable insights that support space optimization.

The MVP of Operations and Analytics will oversee strategic initiatives, lead the Operations and Analytics teams, develop executive-level presentations, and track business metrics. This role requires collaboration across functions to align with GDM strategy and support financial performance through analytics solutions, forecasting, and project execution.

The Principal Analytics Engineer at Americor will bridge data engineering, data science, and business intelligence, driving analytics innovations. Responsibilities include building and deploying automated machine learning models, conducting audits for best practices, and delivering impactful analytics solutions through advanced reporting and statistical experimentation.

The Implementation Manager is responsible for leading enterprise customer implementations of the Culture Amp platform, ensuring customer satisfaction, managing projects from start to finish, providing technical guidance during pre-sales and post-sales, and collaborating with cross-functional teams to optimize processes and product improvements.

The Implementation Manager is responsible for managing the customer implementation phase, ensuring successful delivery of projects, driving customer satisfaction, providing technical expertise, and identifying opportunities for process and product improvements. The role includes overseeing the end-to-end implementation process and collaborating with various cross-functional teams.