Top Senior Level Analytics Jobs
In this role, the Senior Business Analyst will gather and document product requirements, translating customer needs into software solutions. Collaborating with internal and external stakeholders, the analyst will create product requirement documents and use cases while ensuring alignment with business objectives. This position requires strong analytical skills and the ability to communicate effectively across diverse teams.
The role involves leading a team of Solution Specialists to drive the sales of Procore's Analytics products, attract and retain talent, provide training, conduct performance reviews, and deliver forecasts to sales leadership while implementing process improvements.
The Senior Risk Tools Analyst will enhance Mastercard’s information security posture by managing tools that assess the control environment, driving remediation of control gaps, advising asset owners, generating executive-level reports, and maintaining documentation. Responsibilities include leading security tool employment, tracking findings, and drafting responses to stakeholders.
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The Director of Data Operations at FanDuel will lead Data Engineering operations, ensuring the delivery of high-quality data platforms and products. This strategic role involves overseeing data operations, managing cross-functional initiatives, and developing processes for program management and operational excellence to enhance the smooth functioning of the Data Engineering organization.
The Senior Platform Operations Analyst will support technical procurement and sourcing for data centers, hardware, networking, and SaaS platforms. Responsibilities include creating efficient processes, managing supplier relationships, negotiating contracts, and developing sourcing strategies in a fast-paced environment while ensuring cost-effectiveness and alignment with business goals.
The Manager of Card Analytics will lead efforts to grow the credit card business through analytics support, operational efficiency optimization, and collaboration with various teams. Responsibilities include creating reports, building exception reports, and developing analytical frameworks while balancing strategic thinking with operational delivery.
The VP of Data Analytics is responsible for designing and implementing analytical data products and reporting solutions, enhancing data governance, and collaborating with finance and technology teams to drive business growth through strategic data insights.
The Lead Applied Research Scientist will guide the responsible development of AI products at Salesforce, focusing on ethical practices in generative AI, conducting risk assessments, and collaborating with various teams to implement improvements in AI design and safety.
The Qlikview Analyst will develop and implement business analytics solutions, focusing on data visualization and insights using tools like QlikView and Qlik Sense. The role requires the ability to transform data into user-friendly visualizations, lead project teams, and drive analytics-enabled business improvements while collaborating with stakeholders across multiple business areas.
As a Senior Data Scientist, you will develop and implement data processing software and optimization algorithms, apply AI and machine learning techniques to solve business challenges, and collaborate with various teams to bring products to market. You will also maintain and deploy analytics software and advocate product solutions to internal clients.
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