Xerox

The range listed is just one component of Xerox’s total compensation package for employees.. Harnessing our leadership position in office and production print technology, we’ve expanded into software and services to sustainably power today’s workforce.. From the office to industrial environments, our differentiated business solutions and financial services are designed to make every day work better for clients — no matter where that work is being done.. Today, Xerox scientists and engineers are continuing our legacy of innovation with disruptive technologies in digital transformation, augmented reality, robotic process automation, additive manufacturing, Industrial Internet of Things and cleantech.. OVERVIEW: The Data & Analytics Delivery Lead will be responsible for leading the delivery of cross-functional projects using advanced data science and analytics techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.

data analytics

General Information Press space or enter keys to toggle section visibility City Cary, Raleigh State/Province North Carolina Country United States Department Information Management Date Monday, July 8, 2024 Working time Full-time Ref# 20033506 Job Level Specialist Job Type Experienced Job Field Information Management Seniority Level Mid-Senior Level Currency USD - United States - US Annual Base Salary Minimum 87,480 Annual Base Salary Maximum 174,960 The salary range above represents the low and high end in the local currency of Xerox’s salary range for this position and is reflected in an annualized amount. Actual salaries will vary based on factors including, but not limited to, geographic location, market competition, and/or the successful applicant’s education, experience, knowledge, skills, and abilities. The range listed is just one component of Xerox’s total compensation package for employees. Employees are also afforded a comprehensive suite of benefits, to view those details please visit Xerox Careers for your applicable country. If you are not reviewing this job posting on , we cannot guarantee the validity of this posting. For a list of our current internal postings, please visit . Description & Requirements Press space or enter keys to toggle section visibility About Xerox Holdings CorporationFor more than 100 years, Xerox has continually redefined the workplace experience. Harnessing our leadership position in office and production print technology, we’ve expanded into software and services to sustainably power today’s workforce. From the office to industrial environments, our differentiated business solutions and financial services are designed to make every day work better for clients — no matter where that work is being done. Today, Xerox scientists and engineers are continuing our legacy of innovation with disruptive technologies in digital transformation, augmented reality, robotic process automation, additive manufacturing, Industrial Internet of Things and cleantech. OVERVIEW: The Data & Analytics Delivery Lead will be responsible for leading the delivery of cross-functional projects using advanced data science and analytics techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. Data & Analytics Delivery Lead will work with IT leaders to develop the right data and analytical solution in business domains such as finance, sales, service delivery and supply chain PRIMARY RESPONSIBILITIES: Lead the development of advanced analytics, AI and data science projectsLead the design of data models, reporting, automation, dashboards, and performance metrics that support key business decisionsSupport the development teams in implementing complex data & analytical solutionsAct as a liaison between business leaders and Project teamsMonitoring achievement of strategic, financial, and operational benefits, ensuring planned business outcomes are achieved EXPERIENCE, QUALIFICATIONS & SKILLSETS: 10 to 15 years of Data & Analytics experience in a lead capacity helping organizations adopt a data and analytics-based decision-making process Working knowledge of Data Warehousing and Business Intelligence, MDM, Data Integration, Cloud Data Platforms, Reporting and Analytics, and Data Visualization and StorytellingExperience with AI, Data & Analytics tools such as Open AI, Reltio, Talend, Azure Data Factory, Snowflake, and TableauExperience with AWS and Azure cloud services Experience with IT transformationAI Machine Learning Experience: using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for businessExperience in working across end-to-end development, technology, or consulting projects (strategy, discovery, design, development, and deployment)The ability to work in a fast-paced agile environment with minimal supervision#LI-CB1

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