day in the life of a Business Analyst at Spotify |business analyst vs data analyst vs data scientist

day in the life of a Business Analyst at Spotify |business analyst vs data analyst vs data scientist

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[Music] the difference between data scientists data analyst and business analysts I'll talk about the key differences the career trajectories also help you figure out which one is right for you [Music] so I know there have been lots of tech layoffs recently uh I think I'm fine for now but it is scary like whenever I open my LinkedIn and it would be just like flooded with posts saying open to work I recently was impacted by the layoff at XYZ company it really hit close to home this morning like 10 minutes before I started filming I was brushing my teeth and then my boyfriend kind of just like jumped out of bed and then he was like oh my goodness my company is having like layoffs right now so he checked his email HR sent him an email saying you're continuing your employment with exciting company so it was just like oh my gosh gosh it was hitting so so so so close and I think now I really understand what it feels like to like all of a sudden lose something and we are kind of out of control for it so if you're impacted by the layoffs I hope you find a job soon and find the opportunities for you but yeah it's just really scary right now in Tech I would say especially anyways I'm making my favorite smoothie for the recipe here [Music] I recently got these glass and I think they're perfect for coffee and smoothie I've got these like last straw it's a lot easier to clean because you can see through it and also it's not cold when you sip on it like metal straws do [Music] foreign [Applause] [Music] so looking at my calendar today I have a 101 with a business analyst who has the same role as me but he works for a different region I think it's just really comforting to do one-on-ones with people that like have the same role as you who understand what you're going through and kind of figuring out what this business analyst role and trajectory looks like I'll spend around an hour and a half of like Focus time to put together a business report um basically diagnosing our user trends for the past two weeks right after that I'll have a call with a data science team to walk them through the report and then this is where we refine the business narrative and put any data we need to support it then I will end the day sending that report out as an email to our executives [Music] foreign [Music] ER because now I can close this MacBook fully and I can just look at these two big screens and then drag it down so I can literally see like what 77 rows in one screen [Music] so my goal today is to send out the growth report I know I look calm here I added some music here and it's a whole vibe but my braid is actually on fire this requires an intense amount of focus and I usually just stare at the screen for an hour or two string the first step is just me going to the tablet dashboards to look at our core metrics performance on a high level I will start building insights around them by putting them into a deck it's basically like you're seeing all these numbers in front of you your goal is to structure them in a way that's easy to understand and tell a story around these numbers in this day in live video I talked about storytelling with data so check it out link below thank you now I want to give a quick shout out to case defy for sponsoring today's video case Defy is the world's most known Tech accessory brand known for their protective phone cases and collaborations they have cases for everyone and different personality types if you're an active Explorer and is always out and about and On The Go case defines bounce cases are perfect for you the bounce cases have a 21 feet drop protection and each of the bounce cases are test dropped for 156 times and they are powered by ecoshock absorption Tech the expanded Corners allow your phone to turn into any heart stopping drop into a simple bounce the bounce cases also come with more than 2 000 designs available and you can also customize them this one is my favorite bounce case it has all the protection but it also comes with a very cheek style you can style it with their accessories too like phone strap or the beads if you're more of a minimalist k-stify also has your clear cases their clear cases are optimized to prevent yellowing with long lasting Clarity via their UV Defender technology the clear cases have a 6.6 feet drop protection you can also customize it with like letters for your name the clear cases are case to find slimmest case with tactical buttons and comfy grip the cases are also made from 65 recyclable and plant-based materials if you're more of a creative K supply has got cases for you as well case File has artist programs where they partner with exclusive artists and work with a diverse and Global set of creators and artists so my favorite one is this one that I showed earlier it says you are exactly where you need to be I love this one because this is such a good reminder for me as I navigate through work live personal relationships and I just love the color this is their collab with the design studio called ice cream color I also picked out other ones from my parents and it's just so adorable so whoever you are and whatever you're into case defies got cases for you you can go to www.kstified.com Lillian chew and you can get 15 off your entire order on case defy today foreign [Music] S I usually just preset my screen to talk about the growth report together we will one complement insights with more comprehensive data and do more complex deep Dives if needed two we will also adjust how we articulate insights for instance one thing I learned is let's say the November new user acceleration happened right when we launched the marketing campaign but since we cannot attribute exactly how many new users came from the marketing campaign like there's no way to measure that so instead of saying new users saw acceleration in November from the marketing campaign we say correlated to the campaign the difference here is it is not 100 attributable it is more directional and correlated a lot of people have guessed me what the difference between what I do as a business analyst versus data scientist or even versus data analysts there are a lot of differences different paths I'm gonna talk about it and break it down for you to keep it structured I'll first talk about the key differences between these three roles the career trajectories for each and also help you figure out which one is right for you I do want to caveat that these observations are based on my experiences and applicable for tech companies only take it with a grain of salt and please don't come at me typically a project life cycle starts with having the data then analyzing the data to create insights and based on the insights provide business strategies for the teams to ultimately grow the business all three roles will need to have certain levels of proficiency throughout each of these three areas but data scientists they lean more heavily in the data part the data might not even exist yet so they're tasked with building data pipelines to ingest the data running events modelings or even designing and running a b tests to be able to create data and store them in data sets that can be analyzed later by the analysts or by themselves data analysts they analyze the existing data in data sets with c equal to provide insights and create data visualizations with dashboards to answer questions for the teams they lean more heavily into analytics and insights how they differ from data scientists is that data analysts only make sense out of existing data while data scientists create new ways of capturing data like we saw a b testing events modeling and analyzing them for analysts to utilize data analyst jobs aren't that common in Tech but when they do exist they typically are embedded on a specific team that only provide Data Insights to that team and fulfill all their data needs I'll tell you why in a bit business analysts like me We lean more into the business strategy part they're on a standardized title but if you want to apply to this role tech companies call a strategy and Ops analyst on the strategy and operations team like my actual title at work is or even Biz Ops or business strategy so don't just look up business analyst titles in terms of what I do I also analyze existing data to provide sites like data analysts do but I will have to take it a step further to build business strategies based on the insights that I see my ultimate goal here is to execute the strategies with the teams to grow the business for instance let's say I work at Netflix if I see that users are declining in the US among 25 to 34 demographic I will have to analyze data and provide insights and business recommendations to relevant teams like that say marketing product Partnerships Etc so they can then come up with tactics so marketing will do an influencer program and partnership will do a pricing bundle my job is to then build a strategy that consolidate all these tactics together like that say the strategy is to accelerate user growth among 25 to 34 in the US by driving a million new users in 2022. once we have the strategy I also need to work on the operational piece so how are we working cross-functionally together how do we build the way of working how do we make sure that the projects are all on track how are we measuring impact usually business strategies are very cross-functional in nature so there are lots of strategic thinking and stakeholder management skills involved and since data analysts and business analysts both analyze existing data already most tech companies don't have the data analyst role they instead make the data analyst role part of the business analyst role and that's why I tell people I do 60 data analytics works and 40 business strategy what about the career trajectory for business analysts there are three common paths I've seen one is you go deeper into the business strategy side of things or how tech companies call it strategy and operation Biz Ops like I mentioned and that's what my team is the more Junior business analysts you are the more data analytics you will do and once you become more senior have the business and strategic thinking and relationship with teams that's when you lean more heavily into business strategy specifically thinking about how to grow the business on a high level enable the teams to see your vision build a way of working and actually execute on those strategies the second path is you go into other generalist role that still enable you to have a broad scope of knowledge about many topics like you do as a business analyst like product managers and program managers in Tech third path is you go into a specialist role since as a business analyst you're driving strategies with different teams you can then decide which team you're passionate about such as data scientists if you really want to focus on the data work or Partnerships if you want to dive into the external facing part for data scientists there are two common paths first path is you become an individual contributor or what we call ICS you don't manage people you instead become an expert in certain subject areas in data science like let's say forecasting where you know different types of forecasting models you know how to train the models you know the statistical theories behind it and know how to apply the models in real business context as an IC you focus on deepening your craft the second path is people manager instead of deepening your data science craft you'll be managing data scientists under you you'll figure out a way of working for the team and their broader business questions to support businesses or product teams in decision making now for data analysts as I mentioned lots of tech companies don't have data analysts because that would just be part of the business analyst scope or the data scientists scope already and most data analysts I've seen either go more into the data and which then becomes a data scientist or into the business end which then becomes a business analyst route however if you want to Pivot into Tech picking up on a data analyst role at a non-tech company is a good way to do so because the data analytics and insight skills is the foundation across both data scientists and business analysts so which role is right for you data scientist is more for you if you like to get deep into the numbers you like to problem solve with data figuring out how to measure things and actually building the data models or tools it's less people facing and more numbers driven business analyst is more for you if you like to think more broadly about why what business opportunities there are with the insights that you scoped out we like to think about the business logic build a business strategy and enable team to see your vision to then execute all strategies together it will be more people facing a key skill we call it is your ability to influence people without Authority how do you make people work on projects with you even though you're not their manager or you're not on their immediate team and also business sense which is how you use Data Insights to identify business opportunities and that usually comes with really understanding how the business works and how to grow the business for lunch I want to meet Kim Bob I think I'm mastered making this and I really want to show you guys because this is now my favorite lunch menu I'm gonna season my rice with gochujang and sesame oil and see how much I've scooped from it already just a little bit so a lot of my co-workers have been finding out about my YouTube channel a lot as in like more than 20 of them do I feel awkward about it of course yes in the beginning I didn't want them to judge me or think of me differently I didn't want to get in trouble but with time I got used to it this just applies everything in life with enough time you can get used to almost anything so don't let the initial feeling Hold You Back YouTube is my little Hobby and now I'm okay to be seen I went from doing YouTube very secretly versus now I just own it I'm not gonna openly talk about my YouTube but with my co-workers asked me about it I will be like yes I have a YouTube what do you want to know about it do you want to start our YouTube channel I can teach you how to do it do you want to be on my Channel That's coordinated time do you want to work on a project with me let's do it pro tip I learned is to dab some water over the end bit so that it sticks better when you roll hold on to the seaweed with your finger a little bit and you roll with the mat so you roll until you can see your rice I just like usually uh whatever I want to it it's really not a lot of guidelines [Music] sesame oil foreign [Music] [Music] who has results for an initiative that we just launched and chill for a bit foreign [Music] [Music] I love your picture is that like a playlist wait where are you Basin again it it France okay but you're where are you from again sorry oh [Music] [Music] biggest thing I've learned about sending emails or like sending big report out is like don't set it out when you finish the draft take a 10 minute break and come back and look at it for me I always find little mistakes or typos sometimes I'll even like test out the email by sending it to myself and see what the graphs look like on my phone if it's too small I may get bigger okay I think I'm gonna send it all right scent I'm going to my chiropractor hey Google stop I have really bad Tension Headache she taught me a few stretching exercises try it let me know how you feel I want to stabilize one arm first under your thigh use your other hand to pull your head to the other side feels so good two more exercise put your hand behind your skull look at this armpit feel the stretch this side of your neck is out looking at this armpit look at this armpit midline of her neck now it's time for my YouTube work oh my gosh am I cut into that line okay I have a video that had a sponsor they will set like multiple deadlines for different stages of the sponsorship 71 almost there this is a really big file it's 30 gigabytes so it's taking a while so I've been working on a special project for the past few weeks now I'll be sharing more um in my future videos but basically I had this idea two months ago and I decided to you know just like go for it why not now I'm just putting the time down to actually make it happen [Music] currently um 2 22 am right now I usually never sleep this late I think my dinner was too spicy and now my stomach is like on fire I just couldn't sleep and all of a sudden I just have like a lot of ideas for how to make the slides that you saw earlier about the differences between data scientists and business analysts I want to show you what I usually do so this is the behind the scenes this looks really rough but this is like part of my thinking process I have to write my thoughts down organize it and I'll start visualizing it and I'll start building a structure I tend to write ideas down whenever I think about it for this one I also had to do a bunch of fact checking with my French horn and data analyst role and data scientist roles because sometimes I'm like oh my gosh there's like a lot of people watching this I want to make sure I get the information right I'm gonna like drink some water and go to bed if you read my next video stable friends

2022-12-28 17:18

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