Unilever Supply Chain Data Analyst

Unilever via Coursera Professional Certificate

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Details

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Provider

Coursera Professional Certificate
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Duration & workload

16 weeks, 10 hours a week

Found in

Overview

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With an expected growth rate of 18%, there hasn’t been a better time to enter the field of supply chain analytics. In this program, you’ll learn in-demand skills like data analysis, demand forecasting, and cost analysis to get job-ready in less than 4 months, with no prior experience needed to get started. Supply chain analysts are essential in helping organizations achieve cost savings, reduce lead times, enhance customer satisfaction, and adapt to changing market conditions through data-driven insights and analytical approaches. This program is designed for entry-level professionals, business administrations graduates and those with strong problem solving, time management, and organizational skills. You will learn the foundational skills employers seek for entry level supply chain analysts roles and get hands-on experience cleaning, filtering, sorting, and presenting data. In this program, you'll learn to: Describe the supply chain analyst role and its impact to the supply chain . Identify potential opportunities in all aspects of the supply chain, ensuring cost and resource efficiencies and continual growth. Use data and the current status of expenses and profitability to understand the impact of operations,, savings realization, and future outlook. Monitor supply chain security risks and adjust overall planning and scheduling accordingly. Describe the role of the supply chain analysts to assist in meeting sustainability goals.

Syllabus

Course 1: Supply Chain Management and Analytics
Course 2: Using Data Analytics in Supply Chain
Course 3: Implementing Supply Chain Analytics
Course 4: Supply Chain Software Tools

Courses

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16 hours 31 minutes
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In the Supply Chain Software Tools course, you’ll learn about the challenges of handling large amounts of data and how to effectively gather, analyze, and use the data. You’ll learn about the latest cutting-edge technological solutions that can streamline operations, and emerging trends (such as artificial intelligence) that allow large amounts of data to be processed and summarized instantly. Additionally, you’ll prepare for a job as a supply chain analyst by building your resume, learning how to market yourself and gain insights into the job research and application process. By the end of this module, you’ll be able to: Recognize supply chain emerging trends. Describe the software tools available for supply chain analytics such as cloud-based solutions, AI-powered projections, advanced analytics, data lakes, and database management. Explain how to access real-time insights, review inventory availability and movement, replenish schedules, and review historical data. Identify how to build accurate plans and forecasts for planning, data collection, validation, aggregation, and financial consolidation. Identify how to test assumptions with scenarios to assist with forecasting decision making. Optimize supply chain operations. Identify patterns and trends in supply chain data and streamline processes. Prepare for a job as a Supply Chain Analyst.
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19 hours
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In the Implementing Supply Chain Analytics: Descriptive, Diagnostic, Predictive and Prescriptive course, you’ll discover how implementing analytical methods, models, and tools helps decision-making become more efficient. You’ll use different types of methods, models, and tools, depending on specific business scenarios or needs, to help you analyze the current state of the supply chain and to lead you to insightful solutions. You’ll also explore the utilization of supply chain models to evaluate and question the data to optimize the flow of goods, information, and cost in a supply chain to help identify potential improvements, determine the most efficient or practical course of action, and to communicate the impact to the customer. By the end of this course, you’ll be able to: Interpret historical data effectively using descriptive analytics. Forecast the most probable outcomes, projects, or future. scenarios, along with their business implications, using predictive analytics. Collaborate and make recommendations that maximize business value, addressing problems through prescriptive analytics. Describe the appropriate communication channels to display and summarize the data results and Supply Chain recommendations. Use supply chain models to evaluate and optimize the flow of goods, information, and sots with a supply chain.
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1 day 11 hours
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In the Using Data Analytics in Supply Chain course, you’ll explore the importance of data governance, and learn the fundamental concepts surrounding data. You’ll also learn the tools and processes employed in supply chain analytics, enabling you to gather, analyze, synthesize, validate, and interpret data-driven insights. This ensures that products are efficiently delivered to their destination in a timely and cost-effective manner. By the end of this course, you’ll be able to: Explain the importance of data governance and adhere to data governance policies. Define data analysis objectives, formulate questions, pinpoint data sources, and implement effective data gathering techniques. Conduct data analysis by applying calculations, summarizations, averages, and classification of information to answer the identified data analysis objectives and questions. Identify how to use SQL, Python, or spreadsheets to clean, manage, consolidate, analyze, and visualize data. Differentiate between various scenarios and construct simulations to evaluate outcomes. Use data visualization to present insights effectively to decision-makers.
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1 day 7 hours 28 minutes
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In the Supply Chain Management and Analytics course, you’ll learn the foundations of supply chain management and how the Supply Chain Analyst role has an impact on the entire supply chain including making smarter, quicker, and more efficient decisions. You’ll focus on the supply chain process, how to use analytics to identify potential opportunities in all aspects of the supply chain, and how to monitor supply chain security risks to help minimize their impact on the entire supply chain. Additionally, you’ll explore the future of supply chain and how it's impacted by security and sustainability. By the end of this course, you’ll be able to: Describe the supply chain components and their importance. Describe the Supply Chain Analyst role and its impact to the entire supply chain in making smarter, quicker and more efficient decisions. Recognize how to use analytics to identify potential opportunities on all aspects of the supply chain ensuring cost and resource efficiencies and continual growth. Use data and the current status of expenses and profitability to understand the financial impact of operations, overall spend, procurement, savings realization, and future outlook. Monitor supply chain security risks and their impact and adjust overall planning and scheduling accordingly. Describe the role of the Supply Chain Analysts to assist in meeting sustainability goals.