Top Data & Analytics Jobs

The Senior Data Engineer will build data pipelines and complex datasets to facilitate data-driven business decisions, collaborate with IT and developers on performance and reliability, maintain web applications using .NET and C#, and implement internal process improvements to enhance efficiency.

As a Billing Analyst, you will manage billing functions such as reviewing client implementation profiles, handling billing inquiries, reconciling accounts, and ensuring timely mailing of lease documents. Strong communication and customer service skills are essential.

The Sr. Program Performance Analyst at Sunrun will monitor and analyze partner performance against KPIs, provide strategic insights, manage forecasting cycles, and oversee performance management. Responsibilities include maintaining partner scorecards, developing a Quarterly Business Review framework, and conducting competitive analyses to inform strategic planning.

The Procurement Analyst at Tarkett will develop and oversee the strategic approach to supply market analytics, work with category managers on business intelligence, utilize data mining and visualization tools, and provide market-based insights.

The Data Architect will define and deliver data solutions, focusing on ETL processes for the Data Warehouse used in Business Intelligence. Responsibilities include data management and analytics, ensuring data quality, and collaborating with stakeholders to meet business requirements. This role requires strong leadership and extensive hands-on experience in data analytics and modeling.

The Strategic Sourcing Analyst at Simpson Strong-Tie will focus on reporting and analysis, supplier identification, and market insights to optimize sourcing strategies. This role supports cost savings initiatives, enhances reporting for KPIs, and collaborates across departments for effective vendor management and procurement.

The Data Architect at Marvell will design, implement, and manage robust and scalable data architectures that support data engineering and science projects. Responsibilities include developing data models, optimizing data workflows, managing data solutions on AWS, enforcing data governance, and collaborating with various teams to meet business needs while mentoring junior members.