Top Analytics Jobs

The Lead Insights & Analytics Manager at NIKE is responsible for managing business relationships, defining strategic questions, delivering data-driven presentations, and coordinating analytics efforts. This role involves developing models to measure project impacts, executing store tests, and collaborating with Insights and Technology teams to enhance data capabilities.

The Analytics Analyst III is responsible for providing complex resolutions to analytics and data problems, managing data preparation, analysis, and interpretation to deliver actionable insights and recommendations to various senior stakeholders. This role involves developing advanced analytic models, performing data mining, and fostering continuous improvement through performance data analysis and consultation.

As an Analytics Lead, you will manage projects for medium- to large-scale clients, overseeing data management, report building, and communication. You'll work with analysts and data scientists to deliver data-driven insights while leading teams and engaging with clients to achieve strategic goals.

The Data and Analytics Solution Architect will design and implement data architecture and integration processes to support business goals, improve data governance, and collaborate with cross-functional teams. Responsibilities also include selecting data solutions, monitoring performance of cloud data infrastructure, and driving innovation with new technologies.

The Sr. Data Scientist will manage projects involving clinical data analysis, develop algorithms for real-world data insights, and collaborate with various teams to drive advancements in cancer care. Responsibilities include data wrangling, pipeline engineering, and supporting product development.

The Data Analytics SME will leverage Excel and Power BI for data analysis and visualization, creating insightful reports and managing data efficiently. Responsibilities include performing advanced data analysis, designing pivot tables, developing Power BI dashboards, and providing actionable insights to support decision-making across the organization.

The role involves designing and developing data visualizations, utilizing SQL for database queries, and collaborating in an Agile environment. The candidate will maintain solutions as business needs evolve and work on data pipelines, models, and visualizations.

As the Advisor of Data Science and Advanced Analytics at Ciena, you will enhance the company's analytics capabilities by transitioning from descriptive analytics to predictive and prescriptive analytics. Responsibilities include collaborating with business teams to identify data-driven solutions, preparing data for analysis, developing statistical and machine learning models, deploying data models into production, and ensuring data quality and security.