Top Data & Analytics Jobs

As Head of Investment Data, you will define and drive data strategy, governance, and operations to enhance investment decision-making and client outcomes.

Lead regional sales analytics for the UK, build dashboards and diagnostic reports, execute analytics roadmap using Snowflake, dbt, Tableau and AI, provide strategic insights to sales leadership, partner with Finance and Product, and mentor peers.

Develop and deploy advanced statistical and ML models on large-scale alternative datasets to generate investable signals, partner with investment teams, evaluate data quality, and drive novel data-driven research with commercial impact.

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

Lead the strategy and execution of real-world data capabilities, focusing on data lifecycle management, vendor relationships, and collaboration with various teams to deliver analysis-ready datasets.

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 Staff Data Scientist will drive data-informed monetization strategies across subscriptions, advertising, and virtual currencies, collaborating with product and engineering teams and defining success metrics.

The VP Global Grid Modeling will lead global data strategy, manage high-performing teams, ensure quality datasets, and engage with customers for insights in energy markets.

The Director of Data Enablement and Reporting will lead data governance and analytics efforts for the R&D organization, ensuring AI readiness and compliance while collaborating with stakeholders and driving a data-centric culture.

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.

The Data Product Manager will lead cross-functional teams to create high-impact data products, translate business needs into technical requirements, and manage product roadmaps. Responsibilities include collaborating with stakeholders, optimizing product performance, and ensuring compliance with industry standards.

Agap Technologies Inc. offers online Data Science training, providing real-time instruction, interview training, and support for OPT applications with a professional environment.

Develop advanced algorithms, apply statistical techniques, support clients with data analysis, contribute to emerging datasets, mentor junior associates, and advance thought leadership through research.

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.

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

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

Lead enterprise data, analytics, MDM, and integration strategy. Modernize cloud-native data platforms, manage data warehouse and API-first integration platforms, build/lead data engineering teams, enforce governance and data quality, enable analytics/AI/ML, and manage vendor relationships and managed services.

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.

Perform operational and management audits, evaluate internal controls and compliance, analyze large datasets to assess policies and performance, identify risks and inefficiencies, audit vendor/contract compliance, verify statistical data, and draft and present audit findings with recommendations.

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

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

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

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

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