Xerox Analytics Functional Lead - - 22835 in CARY, North Carolina
Analytics Functional Lead at created 4-Aug-2020"/>
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Xerox at https://xerox.avature.net/en_US/careers
Analytics Functional Lead
Department: IM Architecture
Date: Tuesday, August 4, 2020
Working time: Full-time
Job Level: Specialist
Job Type: Experienced
Job Field: IM Architecture
Description & Requirements
Xerox (NYSE: XRX) makes every day work better. We are a workplace technology company, building and integrating software and hardware for enterprises large and small. As customers seek to manage information across digital and physical platforms, Xerox delivers a seamless, secure and sustainable experience. Whether inventing the copier, the ethernet, the laser printer or more, Xerox has long defined the modern work experience. Learn more at www.xerox.com and explore our commitment to diversity and inclusion. at https://www.xerox.com/en-us/jobs/diversity
The Analytics Functional Lead will be responsible for leading cross-functional projects using advanced data science and analytics techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
Work with business leaders to identify their business problems and develop the right approach and analytical solution in Business domains such as Service Delivery, Supply chain.
Lead the development of advanced analytics and statistical models to support the analytic solution Example: Automatic Supplies replenishment, Parts cost optimization
Develop hypothesis trees and other relevant problem-solving approaches for addressing the business challenges.
Lead the design of data models, reporting, automation, dashboards and performance metrics that support key business decisions.
Performing/interpreting value analysis to identify value creation opportunities for business
Support the development teams on implementing analytical solution from a business perspective
Act as a liaison between business leaders and Project teams
Monitoring achievement of strategic, financial and operational benefits, ensuring planned business outcomes are achieved
8 to 10 years of analytics experience in the industry in a direct or consulting capacity helping organizations adopt a data and analytics-based decision-making.
Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
Experience and knowledge of statistical modeling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc.
Experience with data visualization tools: Tableau, Raw, chart.js, etc.
Experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business.
Experience in problem solving using data science, analytical techniques and visualization tools
Conviction and ability to articulate the business impact of moving up the analytics maturity curve to IT and business stakeholders.
Xerox is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, creed, religion, ancestry, national origin, age, gender identity, sex, marital status, sexual orientation, physical or mental disability, use of a guide dog or service animal, military/veteran status, citizenship status, basis of genetic information, or any other group protected by law. Learn more at www.xerox.com at https://www.xerox.com/ and explore our commitment to diversity and inclusion! at https://www.xerox.com/en-us/jobs/diversity People with disabilities who need a reasonable accommodation to apply or compete for employment with Xerox may request such accommodation(s) by sending an e-mail to XeroxStaffingAdminCenter@xerox.com. Be sure to include your name, the job you are interested in, and the accommodation you are seeking.
© 2020 Xerox Corporation. All rights reserved. Xerox® and Xerox and Design® are trademarks of Xerox Corporation in the United States and/or other countries.
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