Analytics Digitization & Value Reporting Specialist

GURGAON, IN, 122001

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McCormick & Company

McCormick spices and products have been kitchen must-haves since 1889. Learn about seasoning and cuisine while discovering tons of delicious recipes today

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At McCormick, we bring our passion for flavor to work each day. We encourage growth, respect everyone's contributions and do what's right for our business, our people, our communities and our planet. Join us on our quest to make every meal and moment better.

Founded in Baltimore, MD in 1889 in a room and a cellar by 25-year-old Willoughby McCormick with three employees, McCormick is a global leader in flavour. With over 14,000 employees around the world and more than $6 Billion in annual sales, the Company manufactures, markets, and distributes spices, seasoning mixes, condiments and other flavourful products to the entire food industry, retail outlets, food manufactures, food service businesses and consumers.

While our global headquarters are in the Baltimore, Maryland, USA area, McCormick operates and serves customers from nearly 60 locations in 25 countries and 170 markets in Asia-Pacific, China, Europe, Middle East and Africa, and the Americas,

At McCormick, we have over a 100-year legacy based on our “Power of People” principle. This principle fosters an unusually dedicated workforce requiring a culture of respect, recognition, inclusion and collaboration based on the highest ethical values.

Position Overview

Working as a member of GBS Transformation Team under general supervision of the Service Op Manager, the role is primarily responsible for data-driven decision-making and process optimization by applying advanced statistical and analytical techniques to process data. Innovate through the application of machine learning, process mining and predictive analytics to unlock opportunities for enhanced efficiency. Transform complex data into actionable insights through visually compelling dashboards, reports, and visualizations. Additionally, the role aims to encompass a holistic approach to process quality management & KPIs ensuring alignment with industry best practices in order to drive sustained excellence.

Key Responsibilities

  • Create and maintain visually appealing dashboards and reports for effective communication of process insights
    Transform complex data into actionable insights through visually compelling dashboards, reports, and visualizations
    Create informative and visually appealing dashboards, reports, and data visualizations to communicate process insights to stakeholders
    Define visualization strategies and evolve those to continue enhancing visualization effectiveness
    Define visualization effectiveness measure
    Maintain GBS metrics repository 
  • Apply analytics techniques to identify and implement opportunities for process optimization
    Apply statistical and analytical techniques to process data to identify patterns, trends, and anomalies
    Apply advanced analytics techniques, such as machine learning and predictive analytics, to identify opportunities for process optimization
    Define and drive evolution of data analytics strategies
    Demonstrate how data analytics impacted process optimization
    Deliver metrics process efficiency initiatives focusing on process automation. Lead  and supporting process capture efforts.
    Quantify and communicate the tangible impact of PI initiatives on efficiency, quality and relevant processes
    Lead audits, assessments and change initiatives to drive ongoing improvement in process adherence and efficiency
  • Define and optimize process quality metrics, ensuring alignment with organizational objectives
    Define process quality metrics and KPIs to measure adherence to standards
    Establish mechanisms to monitor process quality in real-time or through periodic reviews
  • Champions, partners and Leads Process Discipline Efforts, in collaboration with cross functional teams with GBS Service OP, PI Managers and D&A / Automation HubAdvocate and champion process discipline
    In collaboration with the broader Process Improvement team, establish framework to contribute to identifying and addressing opportunities for improvement highlighted from completed data analytics
    Provide a global, enterprise and customer centric mindset.
    Manage global business networking, connectivity, and relationships 
    Use data to tell the story to influence stakeholders to take data driven decisions to leverage performance

Required Qualifications & Experience

Bachelor's degree in a related field such as Computer Science, Statistics, Mathematics, or Engineering. 
At least 3 years of experience in statistical analysis, statistical modeling, and data visualization.
Proficiency in data analysis tools and programming languages such as SQL and /or Python or other.
3 years of experience with machine learning and predictive analytics techniques
Experience within process quality management and value reporting for transformational initiatives and processes across multiple functions and geographies involving auditing and assessment of processes.
Proven experience in change management, quality assurance and measurements of stakeholder satisfaction

Other Skills & Competencies

Great attention to details and data validation, strong focus on delivering against deadlines  
Ability to handle multiple projects/skills at any one time 
Ability to work independently and as part of a team
Ability to present unbiased view in the audit and assessments
Strong technical aptitude and systems acumen, including MS suite
Fluent English required 

 

McCormick & Company is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. 

 

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Category: Analyst Jobs

Tags: Computer Science Data analysis Data Analytics Data visualization Engineering KPIs Machine Learning Mathematics Python SQL Statistical modeling Statistics

Perks/benefits: Career development

Region: Asia/Pacific
Country: India

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