/r/analytics
Dedicated to web analytics, data and business analytics. We're here to discuss analysis of data, learning of skills and implementation of web analytics.
Dedicated to web analytics, data and business analytics. We're here to discuss analysis of data, learning of skills and implementation of web analytics.
Discussions or questions on Google Analytics, statistics, R, earning qualifications, SQL and anything data related are encouraged.
You need at least 5 comment karma to post here. As in from the whole of reddit. If you don't have that, your posts will need to be manually approved so PM the mods after you've posted your thread.
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- r/marketing
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- r/digital_marketing
- r/analytics
- r/DigitalMarketing
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- r/AskMarketing
- r/content_marketing
- r/GoogleAnalytics
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/r/analytics
I've been curious about what exactly a data company does. Does anyone here have experience starting a data analysis or data science company? I’d love to hear about your journey and get some insights into how these businesses operate. Any advice or stories you can share would be really helpful!
Hey guys,
I'm trying to figure out what I can use AI for in doing analytics and I can't find any usecases. I see people mostly use it to help write Excel, SQL, Python, or even DAX, but my impression are that these are people who haven't learned enough about their languages so they also use it both in a way to discover functionallity they didn't know exist, and try to code up something above their coding level (and most of them give the impression to be below a intermediate level). I have colleagues using AI to spit out DAX code and they are not always knowledgeable enough to see that it is not calculating what they think it is calculating.
Does there exist any meaningful way to use AI if you already have intermediate knowledge of the coding languages you leverage? Anything outside of simply junior-level coding that people use AI for today?
I don't want to be left behind, but I'm simply not able to use AI for anything usefull today and I feel like there is something I'm not getting with it.
We ran some AB tests on a page, all fairly similar setups. Visitors entered the test when you load the page, and the variant had a new feature part way down the page. We let the test run for the agreed time period, sales are up 3% at 99%+ significance, business will make millions, all is wonderful.
The finance team however are continuously trying to discredit this test result, saying we can't apply the 3% uplift to sales to 100% of visitors as some of the visitors won't have seen/interacted with the new feature. They claim we need to isolate out how many people used the feature, and calculate the benefit directly from that.
I've tried a number of times to explain to them this isn't how you use AB test results and how the their method wouldn't give accurate fogures, but nothing seems to get through to them. They remain insistent on using their method.
Does anyone have any suggestions on how to get them to understand?
I started my data analysis journey by learning excel and sql now I might need some extra source since everything is not available in youtube suggest me some best data analystics cource I am currently at btech 3rd year
I read a comment on another post that said pattern recognition is one of the skills needed in analytics. But they said it’s an innate skill which I found interesting. Do you believe this is something that is needed and can it be taught? Or is this something that only comes natural to people?
I am looking for formulas and functions and info about charts, tables, formatting just like in this video for data analytics just to be written in PDF so I can learn it and repeat it when I forget. Does anyone know where to find it ?
Hi there!
I’m currently looking for a data analytics or data analyst role in Dublin and was wondering if there are any hiring managers or HR professionals here who are actively hiring.
I have a few years of experience in the field and a strong analytical mindset. I’m great with numbers and I know this is the right career path for me. I’m eager to learn whatever is needed and fully committed to doing my best.
So far I’ve had two interviews. One went really well but I wasn’t selected in the end. The second one didn’t go well due to an unexpected situation. I had taken the day off for the interview but during the call my boss kept calling me and texting that it was urgent. Even though I had officially taken the day off, this completely threw me off and I couldn’t focus or relax during the interview.
Right now I’m in a extremely tough situation. My current workplace is quite draining and I really need to find a new opportunity as soon as possible. If anyone has leads, advice or recommendations on how to speed up the job search, I would truly appreciate it.
Thank you in advance!
I’m a high schooler that currently applying to a honor college(kinda)program in penn state and they require a professor interview that is going to talk about my understanding of data science.
I know literally nothing.
Like I do know AP stats(so like the basic stats knowledge & know how to use bunch of test on calculator) and calc ab and basic level of computer science(APCSA). But I will literally be butchered by the professor if I showed up as I am right now. So is there a quick way/resource for me to learn a bunch of data science knowledge? my interview is next month.
Ps: the reason why I didn’t post this on data science subreddit is because I could not post there(not enough comment)
I work in operations at a tech company where I occasionally use SQL to query and analyze data at the request of our clients. Today, our company announces its plan to release an AI report generator that we and our clients can use to build these reports.
They simply type what data they want to pull, what information they’re looking for, and the AI builds the report in seconds. No coding required, all in plain English.
I am wondering what this means for an analytics tool like SQL (and the role of a traditional analysts/BI in general). I had no prior experience with SQL or any other query language, and had to self-study over the course of 6 months to be able to use it somewhat effectively. I actually believe my workflow will be extremely streamlined as I can spend less time coding and more time on other stuff. However, I also feel a lot of roles will be made redundant. Each business unit will essentially need less and less people as there will be no need for number crunchers. Extremely pessimistic about the future, curious what this sub thinks.
I worked for a big name tech company as a Measurement Specialist for 2.5 years and moved to an ad agency with a paycut and have been working here for 6 months. I'm desperately trying to find a new job at a big name tech company once again, and have had 3-4 interviews where I made it to the final round but was ultimately not chosen because there was a candidate with better experience.
It's been really discouraging and I'm trying to not spiral and feel like I've messed up my career by taking on a job at a worse company. The job market is rough. I've heard this but now actually experiencing it, I am realizing while there are still jobs in the Marketing space, you're just up against so much more qualified candidates. I recently just had an interview at Roku and they ended up choosing someone who had direct TV experience, even though in my opinion I was perfectly capable of doing the job and maybe 3-4 years ago they would have hired someone who might not have had every single little perfect thing they were looking for.
I need advice. Or maybe someone to tell me it'll all be alright and if I'm getting interviews and making it far then I'll eventually land something. What could I be doing more of to ensure that I'm the best candidate, especially in such a competitive job market? Does anyone know the job prospects of the Marketing Science/Marketing Analytics/Ad Measurement Science space?
Hello Everyone,
25M here! I graduated college in 2021 and have been working for an econ consulting firm ever since. I liked the work at first, but in recent years the projects have gotten much more stressful and the hours more extreme and unpredictable, and I decided I wanted to make a change. I really like the day-to-day coding in R, Python, and SQL that comes with analytical roles, but I also have the long-term goal of moving up to some sort of management, business leadership, or strategy/operations position. I planned to get an MBA in business analytics. The GMAT studying process is under way and I planned to apply fall of 2025 to start fall of 2026.
However, the more I'm reading about these different degrees, the more I'm starting to second-guess myself. It's starting to sound like an MBA (even with a technical concentration) might be considered "non-technical" enough to preclude me from analyst roles upon graduating the program, and that if I am interested in those roles that I should pursue a more technical masters. However, these more technical degrees may make it harder to transition into managerial and business leadership roles as I progress in my career, plus I'd have to switch from the GMAT to the GRE, which may be difficult at this point. For those familiar with these types of degrees, the differences between them, and the career prospects associated with each, I was wondering:
If you read all of this, thank you! Let me know if you have any insights!
Can I get google data analysis course on coursera for free wihout free trial, because I am sure I can't finish it in one week ? Is there any other option to enroll this course for free and to get certificate ? Or if there is not option, which course would you recommend to enroll for free or if there is not any, can you recommend me youtube tutorials that will be enough as google data certification course
Hello all!
I'm currently in a data-entry heavy position that I took because I moved countries and needed a new job fast. Before this I was involved in Data Quality and worked heavily with complex XML files and did some data analysis mostly using Excel. I want to get back to doing more data work and start building up my career after going off-track.
I have a starter knowledge in SQL and know some Python. I am very knowledgeable in Excel.
My current company offers %100 tuition assistance that I wanted to use to do a MSc in IT with a focus on data analysis and management. The college I would be at isn't great (Purdue Global), but it would hopefully give me a headstart and level up my coding and statistics knowledge (very entry level at the moment).
I currently hold a few credits in a data analysis intro course, but it was only an intro so not very in-depth. It didn't go into enough depth for statistics on my opinion.
I struggle with self-study and work better with hard deadlines/a bit of pressure hence why I want a more structured study routine.
So, is doing the MSc worth it? Is it possible it could lead to at least an entry level position?
Any info or experience is highly appreciated
Are you in the early stages of getting your data infrastructure in place?
I’m working towards a solution to get all of this up and running in minutes.
Would love to discuss and get feedback.
What are your top BI use cases?
I have been learning and practicing analytics for a year now. I could say that I mastered excel, can do advanced SQL queries, doing good with python and visualizations. However , all through my learning journey I relied on courses and certificates. I have always been provided with the datasets, notebooks and cloud enviroments for SQL and Python. Which left me struggling with setting up the environment myself, collecting the data I believe would be needed regarding the business task. I don't even understand the different types of SQL and how to connect to a database. Basically, I ONLY know how to analyze data, but not to gather it and set up the environment. And I think this is the disadvantage of structured learning. Can you give me some advice please?
Just curious about this . I'm not in this field yet . If there is someone who started running business afterbeing a business analyst can you share your story
I have just completed a Grad Dip in data analytics at a reputable Australian University and I am trying to decide if there is any merit to going for the full masters degree in terms of job prospects.
For context, I already work in corporate in a team lead role not related to the data space. I love working with data and everything that pertains to it, but I have become increasingly distraught by how saturated the market is and the easy at which AI will penetrate this space.
My understanding is that experience is valued most when it comes to most corporate roles and especially analytics. With this being said, should I finish up my study with the Grad Dip or are there good reasons I should complete a full masters?
Any thoughts and ideas would be appreciated!
Reposting because my original post was removed.
Hi, I feel like an idiot posting on here but I am a beginner on excel and only just recently started dabbling and trying to learn the basics (pivot tables, charts, etc.) for fun on my spare time (I’m a physician recruiter and I’ve been interested in narrowing down on my performance metrics.)
Long story short I am doing some volunteer work at a non profit and they are in dire need of organizing data and making data easier to read and understand what areas are in most need of improving, and even just meeting goals etc.
Could I pay someone to help with creating a dashboard that they can use that has 2024 data and goals for 2025/2026? I know this is a long shot. How much would this cost? It’s rather simple data doesn’t need to be super fancy. Or maybe I could pay someone to just help me? 😂🤣 I appreciate any help / insight.
I just heard that the CDC wonder website is going down and was wondering if anyone can corroborate this information? Are there (non govt) organizations that have backups of the data and content there?
I am currently pursuing a CIS major, and my university offers different tracks, such as Cybersecurity Management and Intelligence. Initially, I was interested in Intelligence, but after hearing about market saturation, I developed an interest in Cybersecurity. However, I recently realized that Cybersecurity, particularly networking, is not something I enjoy, and I find it challenging to learn. Additionally, I have been told that Cybersecurity is not an easy entry-level career and requires multiple certifications like Network+ and Security+.
I have also frequently heard that AI is significantly automating tasks in Business Analytics, Data Analytics, and Data Science, making the future of these fields uncertain. I have also observed at my own school that most master’s students in this major are struggling to find jobs. Yes, I understand that the job market is really bad right now, but some are still managing to secure jobs. Given this, I am considering changing my major entirely. While my current program offers tracks, I believe fully specializing in Business Analytics would be more beneficial. My school recently rebranded the major as Business Analytics and Artificial Intelligence, incorporating AI, which aligns with my interests.
I have also heard that a master’s or Ph.D. is often necessary to secure jobs in Business Analytics or Data Science. Is this true? My plan is to switch to Business Analytics and AI while simultaneously earning Data Science certifications and working on AI/ML projects. I hope this approach will lead to success.
Would you recommend switching my major? Also, do I necessarily need a master’s or Ph.D. to secure a good job in this field?
Hi! I have mini case interview at CapitalOne for Strategy Analyst. It’s a junior role. I have been given some material for preparation. I live in Canada.
I am wondering if anyone has their interview scheduled in this week or done with them? Please help me, I am bit nervous as this is going to be my first case interview. I haven’t had an interview in 2 months, so I really don’t want to mess it up!! I really appreciate any advice or help. Thank you in advance!!
I'm working on a project for school in Google Analytics and don't want to spend money on setting up a domain and website. Is there a link sharing platform that offers GA4 connection in its free plan? I have set up a few accounts already on platforms recommended by ChatGPT, only for the information to be wrong and the analytics are only available in the paid version. If anyone can recommend a platform to achieve this, that would be great. Thanks!
Hey guys,
I am currently deciding which bachlors degree I should enroll in if I want to become a Data/Business Analytics and to eventually become a Data Scientist.
So I am planning on studying Bachlors in Business Management with Analytics (Hons) then get some job experience. When the time feels right I plan on doing Masters in Artificial Intelligence from which I believe I can transform to a good Data Scientist.
Since there is still some time left for my intake, I haven't applied and I am still deciding on what I would like to do. I will enroll into a online course by Google for Data Analytics Professional Certificate.
Is this a good plan? If there is any advice you would like to give then please do so since I am very curious on how to make this happen.
I have past experience in Python and Coding and have made a few projects here and there so I don't really think this should be difficult. I have done some webdev so I have a little knowledge on SQL and I think I have a decent presentation and communication skills.
I like the idea of taking data, analysing them and presenting them. I like the idea that I can influence a business in what decision they make which will help them.
Help me to take right decision
I am considering pursuing a MS in statistics, should I switch to a data science BS or remain in my Economics BS?
(The only things that would keep me in Econ are not my interests, but the fact that I would not lose a year and I wouldn’t have to pay 8000 CHF more if I stick to Econ, but I am afraid it is not suitable for a more math related Master)
I'm recruiting for a technical data analyst for a team I'm running (which I define as an analyst who can use more technical skills like SQL to perform custom analytics and build new reports, etc. as opposed to just someone who can use Tableau or Excel). It's relatively easy in an interview process to sound out someone's technical capabilities, but I've always found it harder to get a good sense for someone's core analytical instincts and their ability to dig into the data to understand it and uncover insights. I feel this is particularly important to get confident on because while technical skills can be taught, I've found that core analytical instincts (and interest) can't.
What are your suggestions for questions (or activities) that you use in the interview process to uncover genuine analytics talent rather than just Excel/SQL jockeys?
Hello all.
At my job, I am a lead analyst. Most of the analyst at my job barely know how to just Excel or use a dashboard. They also do not understand data standards and create horrific nonstandard tables that are embedded in weird places on the Excel sheet, poorly formatted, multi indexed, pivoted, and have date columns so the data grows horizontally instead of vertically. Sometimes the data is also hierarchical by row so any transformation scramble the data.
Speaking with my boss, she is open to a title change. I am pushing for lead data scientist. My justification is that I am using the same tools as the data scientists at my job (Python, power bi, power automate, power apps, SQL) while also being a Jira admin and running SQL server as well as spark (databricks). I also have formal training on predictive analytics through a variety of machine learning models via R, Python, and Knime (there are more but these are my favorite) . I find myself creating novel solutions to things that no one else is able to figure out.
My questions are:
Do you think I am justified in this ask based on what I provided?
If not, what do you think would be some good alternative titles I should ask for?
Thanks in advance!
I just visited this subreddit already see plenty of people saying that the job market is dying and the remaining entry jobs will have high requirements, are being off shored to other countries or getting done by A.I
Is there any point in trying to get into this career?
Hi, I feel like an idiot posting on here but I am a beginner on excel and only just recently started dabbling and trying to learn the basics (pivot tables, charts, etc.) for fun on my spare time (I’m a physician recruiter and I’ve been interested in narrowing down on my performance metrics.)
Long story short I am doing some volunteer work at a non profit and they are in dire need of organizing data and making data easier to read and understand what areas are in most need of improving, and even just meeting goals etc.
Could I pay someone to help with creating a dashboard that they can use that has 2024 data and goals for 2025/2026? I know this is a long shot. How much would this cost? It’s rather simple data doesn’t need to be super fancy. Or maybe I could pay someone to just help me? 😂🤣 I appreciate any help / insight.
As the title says, I have my first interview (in a very long time and frankly a bit rusty) coming up. I’m a recent graduate with a degree in info systems and sciences. What are some ways I can incorporate some of the responsibilities of the role into questions? How do yall ask about team culture, professional development, etc. Anything helps!