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Fellow International Student
8 Nov 202114:02

Summary

TLDR在这个视频中,Shawn和Arjun讨论了数据分析在供应链行业中的重要性。Arjun,一位来自班加罗尔的国际学生,分享了自己在加拿大Seneca学院供应链管理课程毕业后,在供应链行业工作五年的经验。他强调了数据分析技能对于供应链专业人士的必要性,并解释了数据如何帮助做出更好的业务决策。此外,Arjun还推荐了一些关键工具,如Excel、SQL、Power BI和Tableau,并讨论了不同规模公司中数据分析相关的职位以及薪资范围。他还鼓励学生通过兼职工作来获得宝贵的行业经验,因为这将帮助他们更好地理解业务运作并做出更明智的决策。

Takeaways

  • 👋 视频由Shawn主持,他介绍了自己作为国际学生在加拿大学习供应链课程和商业分析的经历。
  • 👨‍💼 嘉宾Arjun分享了自己作为国际学生从班加罗尔来到加拿大,并在供应链行业工作五年的经历。
  • 📈 数据分析在供应链行业中变得越来越重要,Arjun强调了数据分析技能对于供应链专业人士的必要性。
  • 📊 Arjun作为需求规划师,强调了数据在预测、库存管理和减少浪费中的关键作用。
  • 🛠️ 推荐了Excel、SQL、Power BI和Tableau等工具,这些是供应链专业人士在数据分析中应该掌握的工具。
  • 🔍 在大型公司中,数据分析师和报告分析师的角色是分开的,而在中小型公司中,供应链分析师可能需要同时承担这两种角色。
  • 💼 对于有数据分析背景的人来说,进入供应链行业可以寻找数据分析师、初级数据分析师或报告分析师等职位。
  • 💰 对于初入职场的数据分析专业人士,加拿大的平均起薪大约在5万到6万加元之间,随着经验的积累,薪资会相应增加。
  • 🌐 拥有加拿大本地的兼职工作经验对于理解行业、建立人脉和提升就业竞争力都有间接帮助。
  • 📚 视频最后鼓励观众订阅频道,以便获取更多有关国际学生在加拿大学习和工作的信息。

Q & A

  • Shawn目前在Seneca College学习什么课程?

    -Shawn目前在Seneca College学习商业分析(business analytics)课程。

  • Arjun毕业于哪个学校的哪个项目?

    -Arjun毕业于Seneca的供应链管理(supply chain management)项目。

  • Arjun目前在哪个公司工作,担任什么职位?

    -Arjun目前在Sobies公司工作,担任需求规划师(demand planner)的职位。

  • 为什么数据在供应链行业中变得越来越重要?

    -数据在供应链行业中变得越来越重要,因为现在供应链行业越来越依赖数据驱动的决策,而不再是仅仅依赖物理环境、物流和运输驱动。

  • 作为供应链专业人士,需要掌握哪些基本的数据技能?

    -作为供应链专业人士,需要掌握数据的基本技能,比如数据分析,以便能够阅读数据、得出结论并向管理层呈现数据。

  • 在供应链行业中,数据如何帮助Arjun作为需求规划师进行决策?

    -作为需求规划师,Arjun使用数据来预测销售量,考虑季节性指数、促销策略、公司增长率等因素,以决定需要进货多少产品,以及如何平衡库存和减少浪费。

  • Arjun推荐哪些工具来帮助供应链专业人士进行数据分析?

    -Arjun推荐的工具包括Excel(特别是VLOOKUP、数据透视表、公式、数据可视化等)、SQL(用于数据提取)、Power BI(数据可视化工具)和Tableau。

  • 对于有数据分析背景的人,进入供应链行业应该寻找哪些职位?

    -对于有数据分析背景的人,可以寻找的职位包括数据分析师、初级数据分析师、报告分析师或供应链分析师等。

  • 在加拿大,一个有数据分析背景的新手在供应链行业的起始薪资大约是多少?

    -在加拿大,一个有数据分析背景的新手在供应链行业的起始薪资大约在每年50,000到60,000加元之间。

  • 在加拿大做兼职工作对于找全职工作有帮助吗?

    -是的,在加拿大做兼职工作对于找全职工作有帮助,因为它可以帮助你了解公司文化、建立人际关系、了解客户需求,从而在决策时更加贴近实际。

  • Arjun和Shawn都来自印度的哪个城市?

    -Arjun和Shawn都来自印度的班加罗尔(Bangalore)。

Outlines

00:00

😀 欢迎与介绍:供应链与数据分析的结合

本段落作为视频脚本的开头,由Shawn介绍自己和嘉宾Arjun。Shawn提到自己在加拿大学习供应链课程,并正在学习商业分析。Arjun作为嘉宾,分享了自己作为国际学生的经历,以及在供应链行业的工作经验,特别是在需求规划方面。他们讨论了数据分析在供应链中的作用,以及供应链专业人士需要掌握的数据分析技能。

05:00

📈 数据分析技能与工具:供应链专业人士的必备

在第二段中,讨论了供应链专业人士需要掌握的数据技能,特别是数据分析的重要性。Arjun强调了数据对于做出准确预测和决策的重要性,并提到了使用Excel、SQL、Power BI和Tableau等工具的必要性。他建议即使是在家,也应该通过LinkedIn Learning等平台学习Excel,因为这是基础中的基础。此外,还讨论了不同规模公司中可能的职位名称,如在大公司中可能需要专门的报告分析师,而在中小公司中,供应链分析师可能需要同时承担报告和数据分析的任务。

10:01

💼 职业发展与薪酬:供应链与数据分析的就业前景

第三段中,讨论了数据分析背景的个人在供应链行业的就业前景和薪酬水平。Arjun提到,加拿大的平均收入水平和对数据分析技能的需求,以及不同经验水平下可能的薪酬范围。他还强调了在加拿大从事兼职工作的价值,因为它可以帮助理解零售业的运作,建立人际关系,了解加拿大消费者的需求,从而在供应链的更高层次上做出更好的决策。

Mindmap

Keywords

💡数据分析

数据分析是指使用统计学、数据挖掘、人工智能等方法来分析和解释数据的过程。在视频中,数据分析是讨论的核心,特别是在供应链管理领域,它被用来预测需求、优化库存和提高业务决策的效率。例如,Arjun提到作为需求规划师,他依赖数据分析来预测产品销售并减少浪费。

💡供应链

供应链是指从原材料获取到产品最终交付给消费者的整个流程。视频讨论了数据分析在供应链行业中的作用,包括如何通过数据分析技能来提高供应链效率和减少物流成本。Arjun分享了他作为供应链专业人士的经验,强调了数据分析在供应链管理中的重要性。

💡需求规划师

需求规划师是负责预测产品或服务需求并制定相应计划以满足这些需求的专业人员。在视频中,Arjun提到他目前担任Sobies的需求规划师,他需要利用数据分析来准确预测新鲜产品的需求量,以减少浪费并满足客户需求。

💡数据驱动

数据驱动是指基于数据分析和解释来做出决策的方法。视频中强调了在当今世界,企业越来越依赖于数据来指导其业务战略和操作。Arjun提到,与过去相比,现代供应链行业已经从物理和物流驱动转变为数据驱动。

💡Excel

Excel是一个广泛使用的电子表格程序,它提供了各种数据处理和分析工具。视频中提到,Excel是供应链专业人士应该掌握的基本技能之一,因为它用于数据可视化、创建报表和执行数据计算。

💡SQL

SQL(结构化查询语言)是一种用于管理和操作数据库的标准编程语言。在视频中,Arjun建议学习SQL对于想要进入供应链行业的数据分析专业人员至关重要,因为它允许他们从数据库中提取和分析数据。

💡Power BI

Power BI是微软推出的一款数据可视化和商业智能工具,它可以帮助用户将复杂的数据转化为易于理解的图表和报表。视频中提到Power BI作为数据分析工具的重要性,它可以帮助专业人士更有效地向领导层展示数据。

💡Tableau

Tableau是另一个流行的数据可视化工具,它允许用户创建交互式的图表和仪表板来展示数据。Arjun在视频中提到Tableau对于数据分析专业人员来说是一个重要的工具,它有助于在供应链管理中做出更明智的决策。

💡报告分析师

报告分析师是专门负责创建和维护数据报告的专业人员。在视频中,Arjun解释了在大型公司中,报告分析师可能会专注于为供应链分析师提供数据支持和报告,而在中小型企业中,供应链分析师可能同时承担报告和数据分析的职责。

💡薪酬范围

薪酬范围是指某个职位或行业可能获得的薪资区间。视频中讨论了供应链行业中数据分析背景的专业人士可能期望的薪酬范围,这取决于他们的经验和技能水平。Arjun提供了一个大致的薪酬范围,从入门级到更有经验的专业人士。

Highlights

Shawn介绍了自己作为Seneca学院供应链课程毕业生,并正在攻读商业分析。

Arjun作为嘉宾,分享了自己从班加罗尔来到加拿大,毕业于Seneca供应链管理项目,并在供应链行业工作五年的经历。

讨论的主题是数据分析在供应链中的作用。

Arjun强调了数据分析技能对供应链专业人士的重要性,尤其是在当今数据驱动的世界。

数据在供应链管理中扮演着至关重要的角色,尤其是在预测和减少浪费方面。

Arjun分享了作为需求规划师在Sobies工作时,如何使用数据来做出业务决策。

讨论了数据的正确使用对业务增长的影响。

推荐了Excel、SQL、Power BI和Tableau等工具,作为数据分析专业人士应掌握的技能。

强调了Excel在数据管理中的基础作用,包括VLOOKUP、数据透视表和数据可视化等技能。

提到了SQL在数据提取和数据库管理中的重要性。

Power BI作为数据可视化工具,帮助将数据转化为报告和可视化展示。

Tableau作为一个重要的数据可视化工具,对数据分析专业人士至关重要。

讨论了不同规模公司中数据分析师和供应链分析师的角色和职责。

为想要进入供应链行业的数据分析背景的个人提供了职位名称的建议。

讨论了供应链行业对有分析背景的个人的薪酬范围。

强调了兼职工作经验对于理解公司文化和客户需求的重要性。

Arjun鼓励观众订阅频道并分享内容,以获得更多有关供应链和数据分析的有价值信息。

Transcripts

play00:00

hello everyone welcome to fellow

play00:01

international students so today as our

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guest speaker we have mr arjun

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um this is where growth begins

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and to start off i would like to

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introduce myself my name is shawn and

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it's almost been a year since i'm in

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canada now

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in initial i graduated from the supply

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chain course at seneca and now i'm

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pursuing business analytics in seneca

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college so today the main purpose of

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this discussion is to understand the

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role of data analytics in supply chain

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so we'll be having a discussion with mr

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arjun and now mr arjun would like to

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introduce himself

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thank you very much shawn i really love

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uh the energy what you're portraying so

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far uh hey guys this is arjun here very

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excited i came as an international

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student seven years back from bangalore

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and graduated from seneca supply chain

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management program and i'm in the supply

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chain industry from past five years uh i

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work with companies like atlantis

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granger and walmart and i'm currently

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working as an demand planner for sobies

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it's been a quite exciting journey and

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i'm so excited to meet my buddies raven

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today

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basically we both are from bangalore

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india coming from the same place and

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he's he's absolutely doing good in his

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career right now and he's actually

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studying data analytics program and

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we're so so excited to talk about how

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data analytics affects supply chain or

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what are the things uh supply chain uh

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uh professionals uh like you know

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consider or do in terms of data

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analytics so

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sean that's pretty much from my set so

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how about you kickstart and keep things

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rolling

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yes absolutely so as we all know that

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today we live in a very data-driven

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world where businesses use tons of tons

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of data to you know make decisions and

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to see what kind of impact everything is

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having around them

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so my first question to you

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is going to be towards the supply chain

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industry since our discussion is based

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on supply chain as a as an entry level

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supply chain professional do you think

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we supply chain professionals need data

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analytics skills or what kind of skills

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should we have

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as graduates

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yeah absolutely like you know right now

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not just for supply chain for every

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single industry data plays a very very

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important role and so does for supplies

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industry as well uh maybe five six years

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seven years back supply chain was not

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really data driven it was more physical

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environment and

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logistics driven and transportation

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driven uh but right now uh with with all

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the systems with all the data and all

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the predictable models and whatnot as a

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supply chain professional it is very

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vital and very significant and very

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important for you to learn uh data

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analytics or have basics of data

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analytics so that way you know how to

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read data how to like you know

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draw conclusions and present data to the

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latest it's very important

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yes thank you thank you

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now uh moving on to the second question

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now with off with our first question we

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know what kind of skills we need to have

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we know the importance of data now to

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make it more specific what is the impact

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of data analytics in supply chain

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industry or in your organization

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beautiful uh shaman great question so

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for example i work as a demand planner

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for sobes in the fresh industry right in

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the fresh produce and all the fresh

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products and services

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so for me it is very hard to

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come up with the forecast is because the

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shelf life of the products is very low

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and for example for whatever the reason

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i kind of bring a little bit more or

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bring little bit less so either it

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impacts the customer or the business in

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terms of waste so

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for me data is my fuel that means the

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data is my food i need to know how much

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we sold last week how much we sold last

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month how much we sold last year on an

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individual skew level what are some of

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the seasonality index what are some of

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the promotional strategies what is the

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growth percentage of the company these

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are some of the variables and attributes

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i consider into my day in day life of a

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demand planner and draw conclusions

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towards how much i need to bring how

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much i need to keep and and whatnot so

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data plays a very very important role

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what is the impact impact is business

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growth if the right data used in a right

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way the business grows and if there is

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no data and there is no way you can use

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the uh data and obviously the business

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doesn't grow so that's why more and more

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companies are adapting data systems and

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also hiring individuals who have skills

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and data

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all right thank you thank you

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now moving on to our next question uh

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now we know the impact of data analytics

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we know what kind of skills as a

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graduate that we need to possess or as a

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professional that we need to possess to

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get into this industry

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are there any specific tools that you

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that you use or that you recommend

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people to have

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when they are looking for jobs or from a

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from a professional or from a personal

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point of view absolutely i love that

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question um shawn let's let's have a

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context of uh either you're a data

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analyst who are looking for uh jobs in

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supply chain or a supply chain analyst

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or supply chain professional looking for

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jobs in supply chain and assuming that

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you have one to two years of work

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experience back home or here or like you

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know some some sort of one to two years

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of relevant experience as an ideal

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candidate um you should be knowing uh

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excel in and out when i say excel in and

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out at least vlookups pivot tables

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formulas data visualization pie charts

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and

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comparison charts and all of these

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things are basic stuff because right now

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we are gone out of the paper world so

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everything is on computer and in

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computer the only way you can maintain

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data is excel so it's very important if

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you know excel i can tell you you got

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the job it's as simple as that so it's

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very important that you learn excel as

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much as possible and if you are at home

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and you want to spend some time and you

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want to watch a movie i would rather go

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to linkedin learning and spend some time

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on learning excel so that's basic and

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next going into more of data uh pulling

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the data data management systems uh or

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data warehousing is more about sql right

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uh like you know we have uh sql where

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you can actually uh pull sales um like

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you know you're uh in stock or uh you

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can you can code specific um uh like you

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know scripts based on specific um uh

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requirements frankly speaking i'm i'm

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not a i'm prof i'm not a professional in

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terms of writing the scripts but i do

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have a bunch of database where i can run

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the scripts and i can pull the data to

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use my uh use it to my

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daily work and also power bi is a data

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visualization tool which actually helps

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for us to put the data from excel into

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that and show it to our um like you know

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uh our leadership and also it helps to

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set up the reports ready and it's just

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about clicking the buttons and the

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report comes in and give that reports to

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uh profile i mean like you know rest of

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the team and also tableau is something

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which is very very vital so

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in terms of data analytics excel um like

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you know sql tableau and power bi these

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are some of the basic or not basic even

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advanced tools which which are very

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significant and important for you to

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know before entering the job market

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i'm sure these tools will be used from

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an entry level to a very high level job

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as well it doesn't matter what what

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position you're in 100 if you are making

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14 per hour as in supply chain clerk and

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you are making 100 100 per hour as a

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director of supply chain you have to use

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these tools you need to know how to

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navigate through this maybe you don't

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have to know how to build these tools

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and build

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reports but at least you should know the

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name you should know how to navigate you

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should know what's in there so the basic

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application of the tool space exactly

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basic application of the tools yeah yes

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understood understood thank you thank

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you now

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now so now we know what kind of tools we

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have you know what is data analytics we

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know what's the relation between them

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now i my next question is going to be

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more job specific

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now as a data analyst like with the with

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the data analytics background and if i'm

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looking to enter into the supply chain

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industry and we know data analytics is a

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huge industry supply chain is a huge

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industry with a lot of domains

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now to enter supply chain industry what

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kind of job title should i look for or

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for an individual what kind of

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individual i mean sorry what kind of job

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title should the individual look for

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yeah i love that question um

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again let's let's draw

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let's draw in a context state so let's

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think there's a big company and there's

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a medium company big company obviously

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has more money so they can deploy more

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uh people and small company has a little

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bit of less money so they would deploy

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less people right so let's assume big

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company a big company let's say for

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example they have 10 supply chain

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analysts working for them for different

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different things um if they still have

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money so they would they would hire a

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reporting analyst the reporting analyst

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is the guy who knows more data so he's

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building reports he's supporting all

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these 10 and 10 supplies and analysts

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and providing the reports on a daily

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basis working on process improvement and

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whatnot another title would be a data

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analyst is a data analyst working with

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the data and providing the data insights

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to the supplies and analysts so that way

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they're they're not like the supply

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chain analyst is not learning how to do

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an sql and like spending a lot of time

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but he's looking into the data and he's

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taking the business business decision

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because a data analyst would not take a

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business decision data analyst only

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pulls the data and like you know creates

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the data and gives the information to

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the leadership the leadership or the

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analyst would be taking the

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responsibility on a big company maybe

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you should be looking on a data analyst

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or a junior data analyst or a reporting

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analyst in the supply chain industry

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let's assume you are applying for a

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medium company right and they don't have

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10 supplies in analysis they just have

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two supplies analysts right now as a

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supplier and analyst you should be

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working the reporting job as well as the

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supplies and analysis

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so this is where you will be named as a

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supply chain analyst but however you

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will be kind of born to build the

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reports and learn the tools and and make

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sure that you are the supplier of the

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data for yourself and the decision maker

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as well yes

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these are some of the rules

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understood understood thank you thank

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you so i guess

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now we know we have an overview of the

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relation between data analytics and

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supply chain and how data is used being

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used in supply chain as

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today

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uh this is a very common question that

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we all wonder what

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like what's what lies for us

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as an individual in getting into a job

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or getting into a company if you can

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just describe the pay scale

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that is involved in our supply chain

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industry for someone from an analytics

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background that's a great question man i

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don't know whether we discussed about

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this before the meeting but i it was in

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my mind and i wanted to talk about it

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but you asked that question very well uh

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to be straightforward um obviously let's

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talk about average canadian income right

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so the average canadian income is 40 000

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um so frankly speaking companies are

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recognizing that there's a lot of talent

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available within canada a lot of people

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who have similar skill sets think about

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it for example i know excel there are 10

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000 people also knows excel yes

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i know tableau there are other 10 000

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people also know no table this is a huge

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competition so that's why to start off

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the pay pay is not really high because

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coming from back home or south asian

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countries we always compare um uh us pay

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as they pay like 100k jobs like those

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100k jobs and whatnot but canada is not

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as big as us and the scale the pay

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scales are much

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different uh than um

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us right so for example uh

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let's assume and student has two years

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education in canada or one year of

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education in data and also he has two

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years of experience uh and it would be

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his first job he his or her first job in

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canada we would expect somewhere between

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fifty to sixty thousand dollars per year

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full temperature

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okay and let's assume they have two

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years of canadian experience maybe they

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should be looking between sixty to

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eighty thousand dollars okay

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they have five years of experience in

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the data maybe they should be looking

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between ninety to one twenty case it all

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goes up on them uh uh like an experience

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but as a fresher you should be aiming

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somewhere between 50 to 60 000 per year

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okay just a small add-on question with

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that

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uh so as students we are even if we

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don't want to we are compelled to do

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part-time jobs to survive in canada do

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you think our part-time experience will

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help us in the ads value in getting a

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full-time job 100 no questions about it

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i'm a big advocate of this particular

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topic um it might not directly help you

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out but indirectly it does help you

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because if you work in a nice part-time

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job you think about yourself you're

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working in a fresh coach a retail store

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so you get an opportunity to understand

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how does a big retailer works one number

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one you understand their culture you

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make relationships you network with

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people as well as you are facing the

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canadian customer on everyday basis so

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you know the pulse of the customer

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a person who knows the pulse of the

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customer at the bottom of the supply

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chain would make better decisions in the

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when they come on the top yes

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happening on the ground level exactly

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you're completely aware for example

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let's say you are you got a report

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saying that we um shorted 50 cases of

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bananas for customers think about it or

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50 50 bananas you like oh just 50 i sold

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1200 uh bananas just 50 doesn't matter

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but if you are working at the store

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level

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you know what is the frustration of 50

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customers who are like

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where they're unhappy because the

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bananas are not there right when they

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don't find their product on the shelves

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exactly so now you know the pulse of the

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customer so you make better decisions in

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the top level so the companies do

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recognize that if you're coming from a

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store level or in like you know a good

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part-time job in canada they do

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recognize and they do appreciate that

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you you have some sort of experience for

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sure all right all right

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i think this was a very informative

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informative discussion for our fellow

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international students who are planning

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to come to canada and as an

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international student for me who's been

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living here

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thank you for your time

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and we hope this video gives a lot of

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benefits to everyone who's going to see

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it thank you again absolutely thank you

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very much for dropping by today uh guys

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please subscribe to the channel and uh

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like you know please hit the bell icon

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and we are going to produce more content

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more authentic and quality content and

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uh we're pretty sure that this is gonna

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be beneficial for you and uh please

play13:59

share thank you very much bye

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