Top Analytics Jobs
The Principal Analytics Engineer at Nike will design and implement advanced cyber security data systems, ensuring best practices in data handling and security measures. Responsibilities include overseeing a big data analytics platform, enhancing performance metrics, and guiding junior team members on data reporting and visualization tools, while addressing security and compliance issues.
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.
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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.
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.
Featured Jobs
The Analytics Manager, Fraud and Risk develops a structured analytics program, creates roadmaps, transforms raw data into business insights, prepares detailed reports for leadership, manages incoming requests, enhances KPI reporting, and leads a team of analysts, all while ensuring accuracy and identifying process improvements.
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As a Data Analyst at Coinbase, you will enhance operational efficiency by developing metrics and tools, conducting analyses to drive insights, and automating reporting processes while collaborating with multiple teams to support data-driven projects.
The Manager, Global Web Analytics at Converse is tasked with delivering data-driven solutions to enhance web analytics insights and marketing performance. Responsibilities include collaborating with cross-functional teams, maintaining accurate reporting, and leveraging web analytics tools to inform business decisions related to site improvements and customer behavior.
The Cyber Reinsurance - Analytics/Portfolio Lead will manage and analyze the cyber reinsurance portfolio, enhance underwriting practices using analytics, monitor portfolio performance, and communicate with underwriters, actuaries, and executives.
The Manager - Analytics Consulting (Insurance) manages analytics projects, collaborates with client stakeholders to design analytics solutions, and presents insights to senior management. The role requires expertise in data science and experience in the insurance industry.
Design and build data models, BI dashboards, and applications to solve business problems. Collaborate with a team to understand data and business needs. Support program management and troubleshoot issues. Recommend technical developments and optimize solutions. Continuous learning and development in BI tools, cloud platforms, databases, and version control systems.
As the Senior Director, Data & Analytics, you will lead the Global Data and Analytics practice, drive strategy and growth, deliver data-driven solutions, mentor a team of professionals, manage client relationships, and improve operational efficiency.
As a Manager of Data Analytics, you'll lead a team of data analysts, develop analytics frameworks, present findings to stakeholders, and collaborate with various teams to guide data-driven decisions. Responsibilities include mentoring staff, ensuring data privacy compliance, and staying updated with industry developments.
The Manager will lead marketing analytics projects, maintain client relationships, oversee data science teams, and implement business strategies to enhance client performance. Responsibilities include managing data scientists, driving strategic consulting initiatives, and fostering team development.
The SAP Analytics Cloud Consultant will design and develop planning and analytic solutions for governmental clients. Responsibilities include analyzing needs, managing projects, and deploying web-based solutions, as well as mentoring and collaborating within the consulting team. The role requires strong organizational and communication skills and an understanding of managerial accounting.
The Senior Analytics Manager will analyze data to support TV and streaming campaign design, provide insights for client strategy, and manage a small team of analysts, ensuring growth through innovative analytical approaches.
The Senior Analytics Engineer builds and supports analytics capabilities, designs intuitive dashboards, and ensures data quality. This role involves collaborating with business units to gather requirements, leading data visualization and reporting efforts, and continuously improving analytics tools and processes to meet business objectives.
The Workday Reporting & Analytics Principal Consultant will lead the design and implementation of analytical solutions within Workday, mentor other consultants, support HCM and financial implementations, and engage with clients to analyze requirements and provide solutions. The role emphasizes customer service and expert reporting skills to deliver superior results.
The Analytics Manager will audit, build, and maintain Google Analytics and Google Tag Manager setups, troubleshoot issues, create reports and dashboards, and assist project management tasks. The role requires strong analytical skills and proficiency in web analytics tools.
As a Senior Analytics Lead, you'll drive analytics support across the designated sub-vertical, take ownership of analytic processes for partners, and manage client relationships. Your role includes utilizing SQL for data manipulation, crafting insights, and leading initiatives within the organization to shape analytics strategy and product offerings.
The Lead Analyst will support Global AML Business Systems, Data & Analytics, focusing on the development of technical solutions for AML. Responsibilities include project strategy formulation, business requirements analysis, and collaboration with Compliance, Technology, and regional teams. The candidate should have experience in technology implementations and a strong background in data analysis and AML processes.
As an Analytics Engineer, you will build and manage reporting data models and infrastructure using Snowflake, create reports using Looker, and support data integration with a focus on minimizing development cycles. You will also train team members on data models and maintain relevant documentation.
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