Top Data & Analytics Jobs

As a Sr Director of Consumer Analytics, you will lead insights into consumer behavior, manage a team, and influence senior leadership with data-driven strategies to enhance business performance.

The Marketing Analytics Senior Lead will manage the analytics strategy for Lifecycle & CRM marketing, influence investment decisions, lead experimentation, and provide insights to enhance marketing efficiency across a global platform.

Develop and implement advanced algorithms, apply statistical techniques, collaborate with clients, assess technologies, and mentor team members.

Lead a team in data analytics to identify and mitigate compliance risks in lending using statistical modeling and machine learning. Oversee fair lending reviews and collaborate with cross-functional teams to implement data-driven strategies in compliance operations.

Maintain and improve analytics solutions and financial/marketing models (primarily in Excel); perform ETL/data wrangling; analyze market and business data; communicate concise insights to stakeholders; drive data-informed strategic decisions and build production-ready data products or pipelines.

As Director of Data Science, you will lead a team to shape data strategy, driving growth and product decisions by leveraging experimentation and analytics in a dynamic environment.

The Consultant will assess, prioritize, and model demand across the organization, working with stakeholders to ensure effective decision-making and delivery outcomes, requiring strong analytical and financial skills.

As a Data Product Manager, you will bridge data systems and user experiences, manage data quality, and align data strategy with business objectives, while fostering collaboration across teams.

Lead finance analytics strategy owning data warehouse, BI, GCP cost optimization, and Finance AI automation. Build a reporting Center of Excellence, establish data pipelines and AI model foundations, enable self-service analytics, ensure data governance and audit readiness, and manage a team of engineers and a finance/strategy manager.

The role involves delivering robust marketing analytics, collaborating with stakeholders, utilizing modeling techniques, and generating insights to improve marketing effectiveness and ROI.

The role leads the transformation of reporting and analytics for consumer product quality, focusing on complaint data analysis and driving quality improvements globally.

Develop and execute data strategies to enhance fundraising efforts, lead analytics for donor engagement, ensure data quality, and manage a high-performing team.

The Head of Data Governance will establish frameworks for data integrity and compliance, oversee patient data anonymization, and lead governance initiatives. This role requires collaboration with senior leaders to ensure data strategy aligns with regulatory requirements and business goals.

The Director leads Business Intelligence efforts, advancing data solutions, managing teams, and ensuring reliable analytics for decision-making across the University.

Lead planning, oversight, and coordination of Athlete Intelligence and Data projects, manage cross-domain alignment and stakeholder engagement, and facilitate program delivery and reporting in a complex environment.

Lead the Product Data & Analytics team, developing capabilities in experimentation, analytics, and data science to enhance product decisions and strategies. Collaborate across teams to implement data-driven practices, ensuring products meet user needs and create measurable business value.

The role involves leading a team to develop AI and ML solutions, manage customer interactions, and analyze large data sets using various technologies.

The Product Analyst will enhance transaction enrichment products by analyzing data, defining requirements, and making recommendations to improve user experience and product performance.

Join Chevron as an intern in Information Technology – Information and Analytics. Interns will apply data science and analytics to support sustainable energy initiatives. Responsibilities include data analysis, modeling, and contributing to data-driven decision-making processes across multiple areas.

The professor will develop and teach courses in computer and data science, advance a research agenda, and engage in departmental collaboration and meetings.

The Education Engineer will create educational content and curriculum for developers using LangChain tools, collaborating with engineering teams to enhance learning experiences in applied AI.

The Global Head of Claims Data & Analytics will lead the data and analytics strategy, enhancing decision-making and improving claims management through advanced analytics and data governance.

The Market Intelligence Manager will drive strategic analysis, support CEO initiatives, and deliver business insights by analyzing market data and trends.

The role involves teaching various data analytics courses, engaging in scholarly research, and providing service to the university and community, all while integrating Christian principles.

Lead the development of Transaction Monitoring models, leveraging advanced analytics to enhance detection of suspicious activities while managing a global team.