Accounting Know what you're worth, ask for $16/hr

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• Know what you're worth, ask for $16/hr
• Every year
• Is this a sign i’ll be fired?
• I’m a new hire and I’m actually very excited for my first pizza party.
• I’m over the B4 approach of putting new associates on engagements with no training.
• Does the deepening sense of despair ever subside?
• How long do you think the market will be hot?
• That will fix things
• How to get over the feeling that you're going to get fired?
• Staying busy on weekends
• Want to go industry, feel lost after 5 years in public
• Is working 60 hours a week for 4 months healthy/sustainable? Alternative?
• Is anyone else getting through these pre-interview puzzle boxes? Mine is very difficult:
• I worked in Big 4 and moved into Data Analytics, AMA [vaguely serious]
• Looking for a CPA for an interview assignment. I don't know anybody near me to interview personally so I'm looking here
• If only this could happen.
• It’s time to stop
• I didn’t know accounting had testing profiles of STEM
• Grant Thornton Vancouver Entry Level Salary
• The amount of possible career paths is kind of overwhelming
• Where Can I Find Unusual Gains in the ASC?
• When should you renege an offer, and what are the long-term consequences (pros/cons) of doing so?
• Am I on the right track?
• Will likely be offered a job as an “Accounts Receivable Specialist”, need some advice.
• When people in advisory say they work 45-55 hours, what does that mean exactly?

Know what you're worth, ask for $16/hr Posted: 05 Nov 2021 11:07 AM PDT submitted by /u/AngVar02 [link] [comments]

Every year Posted: 05 Nov 2021 01:48 PM PDT submitted by /u/fredthemagician [link] [comments]

Is this a sign i’ll be fired? Posted: 05 Nov 2021 06:24 PM PDT Last week I shit on the partners desk after eating Taco Bell and depreciated land. He say's he wants to chat with me next week, should I be worried? submitted by /u/ayoalext [link] [comments]

I’m a new hire and I’m actually very excited for my first pizza party. Posted: 05 Nov 2021 09:04 AM PDT Yes I'm fat. submitted by /u/DodgeTundra [link] [comments]

I’m over the B4 approach of putting new associates on engagements with no training. Posted: 05 Nov 2021 09:37 AM PDT It's infuriating. You're telling me shit like I am supposed to know, you have spent half my life working here and you think I know anything after being here for a couple months? Fuck off. So over it. submitted by /u/RepC [link] [comments]

Does the deepening sense of despair ever subside? Posted: 05 Nov 2021 04:01 PM PDT I've been grinding out public accounting for 3.5 years now, in what seems like an endless descent into a stress induced heart attack. I've done audit and tax, worked for a tiny and small/medium firm, worked my wqy up to senior,, none of it is better. From the partners making completely arbitray changes to procedures and expectations, to the managers who are too busy or self-important to help, to the fellow seniors so burned out they keep quitting so I lose any social connections, it feels like a rat trap designed to squeeze every last ounce of will I have left. I can't remember the last time I left work in a good mood (definitely before I started accounting). Things at home are deteriorating because I clock off still filled with rage from work, and I can see my friends and family's attitudes towards me shifting. I am trying to stay calm, manage my anger and keep things in perspective, but i can't seem to do it when I come home feeling like an idiot because I didn't know the answer to a tax question I didn't know to ask. How do you guys keep showing up at the office everyday? submitted by /u/thcidiot [link] [comments]

How long do you think the market will be hot? Posted: 05 Nov 2021 08:29 AM PDT I currently make 70k as an experienced tax associate, but i think i can make more of i jump ship. I'm trying to make more money so that I can invest more into my retirement with RE and stocks. However, i would probably leave after busy season to not screw them. I could also ask for a raise, but I don't know how to market myself feeling like an average employee. Thoughts? Edit to add: I'm an EA and not CPA living in Bay Area submitted by /u/Chiammo123 [link] [comments]

That will fix things Posted: 05 Nov 2021 01:02 PM PDT submitted by /u/Goober664 [link] [comments]

How to get over the feeling that you're going to get fired? Posted: 05 Nov 2021 02:13 PM PDT Started B4 2 months ago and I can't shake the imposter syndrome. I constantly feel like I am not moving fast enough or doing enough when in reality I am probably meeting expectations. Probably hints at an underlying need for therapy lol, but it sucks constantly thinking I am going to get fired. Anyone feel or felt similar? How did you overcome this feeling? submitted by /u/Inabind_throwaway [link] [comments]

Staying busy on weekends Posted: 05 Nov 2021 07:05 PM PDT I currently have a lot of time on weekends and dont know what to do. I am done all my sections of the CPA and plan to write CFE in september next year. I sometimes review my notes and watch accounting videos on weekend but dont know how to productively spend my time. I go to the gym and spend time with family but wanted to ask the accounting folks any tips to keep the mind busy? Do you recommend me do more cpa reviewing or what? submitted by /u/Hourglass780 [link] [comments]

Want to go industry, feel lost after 5 years in public Posted: 05 Nov 2021 08:20 PM PDT After 5 years in public accounting I'm ready to move to industry. I've been working with some recruiters and have had some first step interviews but I feel so lost. I'm seeking work life balance. I did 80 hours a week for 2 months and 65 or more all the rest of the year at my current firm. I can't do that again. But I've seen y'all post on here that some industry jobs are just as bad. What should I look out for and ask about in interviews? Would larger companies be better than smaller? What industry-tech, oil, healthcare? Any advice is appreciated. submitted by /u/antibacterialsope [link] [comments]

Is working 60 hours a week for 4 months healthy/sustainable? Alternative? Posted: 05 Nov 2021 04:50 PM PDT I'm applying to jobs right now, and it's starting to sink in that tax busy season might not be sustainable or healthy... How has working 60 hours a week been for you guys? Do you get enough sleep? Are you healthy? What alternatives are there? I know there's always private and government, but won't it be just as bad once you get promoted to a higher position eventually? submitted by /u/ThatBoringAccountant [link] [comments]

Is anyone else getting through these pre-interview puzzle boxes? Mine is very difficult: Posted: 05 Nov 2021 01:28 PM PDT submitted by /u/cybernewtype2 [link] [comments]

I worked in Big 4 and moved into Data Analytics, AMA [vaguely serious] Posted: 05 Nov 2021 12:59 AM PDT Edit: It looks like a few of you might have checked out my youtube channel -- thanks for that! And please feel free to give me feedback on the videos - positive or negative, I'm always happy to hear it if it comes from a constructive place. Edit 2: If you dunno if you've got a passion for programming or not, check this dude out, if he doesn't inspire you then.... that's ok really, he's probably not for everyone - I just love his stuff: https://www.youtube.com/c/TheCodingTrain (So this ended up really long, hopefully it helps some people!) People seemed interested when I asked in a comment, so here it goes. Shameless self plug, I've got a "Intro to Python" playlist going here. It's pretty fast paced, but if you've played with VBA or some other language before then you'll likely be able to keep up. I will put other resources at the end of the post, I don't expect my series to be the best one out there! Who the hell am I anyway To be clear, I'm not an accountant, and I knew most of what I know about programming and data prior to working at Big 4. But, I do know what it's like to work at Big 4, I worked with a bunch of accountants - I still do - and I know a lot about Data Analytics in the real world and as a career. I'm not claiming to be an expert in anything, just a dude who's done some stuff. Why should I care? Yeah, fair call, if you don't then all good. I've seen people asking about what they need to know / what they should do to head towards analytics and I figured I could be helpful What is analytics? It means a lot of different things to a lot of different people, and it's actually not the only question you should be asking if you're interested in moving towards "something to do with data, and programming and stuff". There are several jobs in the data world, some of them are: Data Analyst: Uses data to answer questions and tell stories (or: uses data to help companies make more money). Sometimes simple things like "Take a look at our sales data, tell us what days we do the most business", more likely something more interesting like "What is the seasonality of our sales and how does it differ amoung different product lines", through to "Take this customer data, segment it into groups and tell us what each of those different groups have in common". Often an Analyst is expected to function without an engineer, architect, boss who knows what they're doing etc, so this one has the most variability. Data Engineer: Uses tools or programming languages to get data from one place to another. Generally on the way, the data will be sanitised, organised and put in a more useful shape for later down the track. These won't just be one-off jobs, but will often be productionized and run regularly. Also works with data pipelines for real-time data. Data Scientist: Most people mean "machine learning engineer" when they say "Data Scientist", but there's more to it than that (sometimes). If you're interested in Neural Nets, Time Series Forecasting and stuff like that, this is the pathway for you. Data Architect: a person who works with pen and paper (visio, schema editors, data modelling programs) and sketches out theoretical structures of data. You really don't need a data architect - until you really do. Like a town planner for your data. Platforms Engineer: Manages the platforms that the data sits on, can include managing the virtual machines, operating systems, databases, analysis tools and environments. If you don't have a deep knowledge of data already, it's most likely you'll want to head towards Analyst path, and that's what I'll largely focus on here, but feel free to ask about other stuff if you find that interesting. Be aware techies sometimes mean something else by Analytics and they think it's the only use of the word (i.e. "understanding how users use our website"). I don't intend to discuss that here, there's very little overlap in interest zones. What are the key skills for an analyst Anyone can learn to code. Anyone can learn ETL tools to manipulate data. Anyone can learn Tableau. A really good analyst has a good appreciation of how businesses make money, might have some domain specific knowledge about customers, types of customers, customer behaviour or other areas like generating revenue and factors that impact that. They can communicate the importance of the outcomes of their analysis, and offer advice to business people in their own language. This is why accountants often make good analysts. Now, that's a great fluffy answer, but there's also the question "what do I need to know to be able to land my first data analyst job?". So, here's a list in rough order of importance: Excel: no self respecting job will put this on their list of required skills, but in reality it's still an important tool in the vast majority of non-bleeding-edge companies. SQL: Only up to a pretty beginner level. SELECT, LEFT JOIN, INNER JOIN, FULL OUTER JOIN, WHERE, GROUP BY, SUM, AVG, MAX, MIN, but also CREATE TABLE, INSERT, DELETE, UPDATE. (Start here: https://www.codecademy.com/learn/learn-sql) Database concepts: "How to get this excel spreadsheet onto that database server", "Why am I joining a table of 100 rows to a table to 10 rows and getting 1000 rows out instea of 100?", how to summarise data up to daily level from more granular data, my it's faster to summarise then join, instead of join then summarise. What is an index, and when do I need to use them? Descriptive Statistics: Really just a decent understanding, you don't need to be expert. (Khan Academy playlist here: https://www.youtube.com/watch?v=uhxtUt_-GyM) Data Visualisation: Tableau Public is a good place to learn this - you can use it for free if you publish your data sets. Take a look at some of the stuff that's published there, but be aware that the featured vizzes are FUCKING COMPLEX and don't be too intimidated by them. (Start here: https://public.tableau.com/en-us/s/resources) Totally optional, but to learn a lot of this, it would help to be able to install VirtualBox, spin up a linux VM, install a database server and connect to it with a workbench type program, that's easier than it sounds and a SUPER USEFULL skill) Notice, we haven't talked about any programming yet (SQL doesn't count!). That's because if you know the stuff above and you've got a decent grasp of it, then you're pretty well set to dive into a specific domain (like Customer Analytics or Sales Analytics) and land a job. In Tableau you'll need an "I can write Excel formulas" level of knowledge to deal with calculated fields, and a beginner SQL level of knowledge to join together data sources. So, here are some areas, and some other things you'll want to know if you want to head down those paths (I am not an expert in these areas, so grain of salt should be taken): Customer Analytics What is a decision tree What is a customer persona How to use clustering How to cluster customers and describe the different groups using a decision tree What is propensity How to model different customer groups' propensity to spend on different things What is churn What a churn model is and how to build one Customer lifetime values Sales analysis A lot of visualisation Benchmarking and performance (vs budget, vs region, vs prior year) Seasonality and how to describe it Elasticity, how to model it A/B testing FP&A budgeting / forecasting type skills are REALLY useful Big Data Python for the business world, R for the academic world In Python: The basics first, get a jupyter notebook running, muck around. install Anaconda, use Pandas, numpy, matplotlib (and seaborn for bonus points). Moving on to Spark when you want to get to advanced stages. In R: I haven't done as much in R, but grab R studio and do some tutorials. Tableau is really handy for some initial exploration, it can handle serious amounts of data with not soooo much ram Understand what AWS is, what a data pipeline is, what tools AWS offers to build a data pipeline and what they do (you really don't need to be able to do it yourself, just be aware of it). More advanced: learn to use Linux and learn command line tools like sort, cut, sed, maybe even awk. More advanced: Spark (using pySpark) or hadoop Predictive Analytics These days this is moving over to the domain of data science, but there are still a lot of places where you'll just use historical trends to predict the future with statistical (or pseudo-statistical) models. Linear regression ... that's it really :D Just kidding, but only kinda. Knowing how to test a model. Understanding whether your model is valid or not: p values etc... An understanding of what time series models do, but I've never had to do this by hand, I've always had a tool to do it for me. Move on to learning about machine learning. Machine Learning Start with Big Data (you can probably stop at the More Advanced bits), then move on to this Learn to use one of pyTorch, TensorFlow, sklearn, whatever the Microsoft one is called. I use pyTorch and a bit of sklearn. What model to use when How to explain why your machine learning model chose a certain outcome (hint: pretty fucking hard for most models, regression and decision tree models work best in real life because of this, not because of raw model performance). Time series forecasting Types of analyst This is no where near exhaustive, but from an answer I gave to a comment: Customer Analytics Design and Implementation of BI systems is pretty cool (less so being the BI analyst, more designing the environment they will work in) Retail / Fast Moving Consumer Goods Sales Analytics Geospatial Analytics (GIS) - awesome fun, you get to do some super geeky stuff Some people specialize in data visualisation, but there's only a few places where you really seriously need a data viz specialist to handle visualising the data (biotech is one, but those guys also have SERIOUS stats chops). Manufacturing Analytics is a thing, it's fascinating, but there ain't much of it around in a lot of countries anymore. Network analysis is a specialization (I say, only barely understanding why it is, but I don't work at Facebook, Linkedin etc...) Infrastructure is another one - working on analysing roads, power distribution networks, optimizing placement of fire depots, stuff like that - related to network analysis and Geospatial Here are some resources You can learn a lot on Kaggle: https://www.kaggle.com/learn Or Codecademy (has GREAT interactive environments, courses used to all be free, I dunno how much free stuff there is now): https://www.codecademy.com/ In no particular order: Some python stuff: Codecademy python course: https://www.codecademy.com/learn/learn-python Programiz python tutorial: https://www.programiz.com/python-programming/first-program A decent python tutorial: https://www.youtube.com/watch?v=rfscVS0vtbw My python tutorials on Youtube: https://www.youtube.com/playlist?list=PLx_75ujvQR410-bmQC_c4W_kiMSaI37zn Some SQL Stuff Codecademy SQL course: https://www.codecademy.com/learn/learn-sql Programiz SQL tutorial: https://www.programiz.com/sql Big Data Kaggle Pandas tutorial: https://www.kaggle.com/learn/pandas Towards Data Science page on matplotlib: https://towardsdatascience.com/matplotlib-tutorial-learn-basics-of-pythons-powerful-plotting-library-b5d1b8f67596 Towards Data Science page on pyspark: https://towardsdatascience.com/beginners-guide-to-pyspark-bbe3b553b79f Spark by examples: https://sparkbyexamples.com/pyspark-tutorial/ Machine Learning Kaggle machine learning intro: https://www.kaggle.com/learn/intro-to-machine-learning R The R Studio education page thingy: https://education.rstudio.com/learn/beginner/ Codecademy R course: https://www.codecademy.com/learn/learn-r AWS Heaps of good free stuff if you click through to the roles: https://aws.amazon.com/training/ submitted by /u/Joker042 [link] [comments]

Looking for a CPA for an interview assignment. I don't know anybody near me to interview personally so I'm looking here Posted: 05 Nov 2021 06:28 PM PDT I am a 4th year BS Accounting Information System student. We are conducting this interview for a class examination. The purpose of this interview is for us to gain more insight into what CPAs really do, what challenges they face, what lessons they've learned, what tools they use, and what advice they can give for us future Accounting staffs. Note that the information in this interview may be shared with others. Thank you. submitted by /u/PhRealistArtist [link] [comments]

If only this could happen. Posted: 05 Nov 2021 09:46 PM PDT submitted by /u/proma521 [link] [comments]

It’s time to stop Posted: 05 Nov 2021 07:19 AM PDT submitted by /u/wetbandaid [link] [comments]

I didn’t know accounting had testing profiles of STEM Posted: 05 Nov 2021 01:42 PM PDT submitted by /u/misterbeee2 [link] [comments]

Grant Thornton Vancouver Entry Level Salary Posted: 05 Nov 2021 09:09 PM PDT I am wondering how much GT pays first-year accountants in Vancouver. Thanks! submitted by /u/Heavy_Development_71 [link] [comments]

The amount of possible career paths is kind of overwhelming Posted: 05 Nov 2021 08:41 PM PDT Sorry if this is a rant but I've just had so many of these thoughts on my mind and wanna see if anyone else here relates. Accounting seems like a great major/field because it does open a lot of possibilities, but there are just so many choices for what to do that it can be overwhelming. It's easy to wonder if there was another path that you would enjoy more/make more $/work less/whatever the fuck. I just watched a Ted Talk about the paradox of choice and that seems relevant here. I will be 27 when I start my accounting career in January, due to a career change and some other shit that was going on, which is part of why I'm thinking so hard on this. I'm starting full time big 4 audit in January (I know I'm gonna get fucked), but I know I don't want to be an auditor or even accountant forever. I don't regret majoring in accounting because I feel like it is a good option in terms of the business concentrations, but the posts on this sub don't forecast my future as an auditor as being very enjoyable. I will try to get as much as I can out of the experience and connections but I would much rather work in finance, consulting, or start my own business long term. What would be the ideal amount of time to stay in big 4 audit for it to look good on my resume and get some decent experience before trying to transition into finance or consulting? I have heard some people say that while some audit experience can be good, working in accounting for too long can pigeonhole you as just an accountant. Idk if this is true or not or what the ideal length of time would be. Any replies would be appreciated and all hail ASC 606 submitted by /u/SoCalScuzzlebutt [link] [comments]

Where Can I Find Unusual Gains in the ASC? Posted: 05 Nov 2021 08:30 PM PDT Title pretty much. I need to find the proper ASC citation that talks about unusual gains. I tried to look at ASC 225-20 but apparently it got updated and moved somewhere?? If someone could explain this, I'd greatly appreciate it :) submitted by /u/ElysianFieldsG59 [link] [comments]

When should you renege an offer, and what are the long-term consequences (pros/cons) of doing so? Posted: 05 Nov 2021 05:29 PM PDT VHCOL. Received offers from 3 big 4: Firm A: $65k, Firm B: $71k, and Firm C: $72k (Updated to $74k). Firm B was in a much father location, so despite the firm offering more, it was out of consideration. Firm C didn't even start interviewing me until I had the offer from Firm A, and they didn't even do a final round interview until the the day after my offer deadline with Firm A. I went through with the interviews as I had an internal referral and didn't want to make everyone down the line look bad. Eating the $7k difference was bad enough but I was willing to do it, but now they just increased their offer to $74k, and I'm sick to my stomach losing out on $9k. Not only that, firm C is in a city (still HOCL) not not in the major city, which means saving on taxes; and the location is a quick train ride from my current residence or walking distance from where I would move, so I'd be saving ample time and money on the commuting too. Firm C I never felt super connected to until my interviews (which I loved the one person), and was kind of annoyed that they didn't contact me sooner to start the interview process, I have a feeling if I never got the internal referral that I would have been ghosted. I don't LOVE their benefits policies but for $9k I'll deal with it lol. Firm A I've loved all the people I've met with, the partner I interviewed with (who has gone out of his way to meet with me and give me guidance to help me create my career at the firm), and the recruiters. They also have the most flexibility (which given my current lifestyle means a lot. So eating $6k that firm B give me or even the $7k initially was doable, but $9k is too significant of an amount. Firm A has announced compensation increases for audit but not tax, but they have announced both tax and audit in other HCOLs. While it would make no sense to leave tax at VHCOL out especially given what other B4 are offering, I just don't get why they haven't emailed us and have emailed everyone else regarding it. I do have medical issues and ample student debt from all the attempted credits from when I started getting ill, so I would use that extra money to pay off my medical bills and subsequent debt. What should I do? Should I eat the $9k and if I don't get a raise just leave for another B4 after a year? Should I renege the offer given how substantial the salary is (plus the easier commute)? If I do renege the offer, I understand I will likely be "blacklisted". Is there any circumstance/reason for reneging in which I wouldn't get blacklisted? Would I be blacklisted forever or for how long would I be? Money is important, but getting a bad rap outweighs money I think. I don't want to have burned bridges for longer than 3+ years and limit my future growth for a measly $9k loss as a first year. Any guidance on this situation is much appreciated. submitted by /u/Stunning-Ant-197 [link] [comments]

Am I on the right track? Posted: 05 Nov 2021 09:37 PM PDT I plan to graduate at the end of next summer. Over this past summer I interned at a pretty large private company (>2 billion in revenue, not public accounting) and they kept me as a part time employee after the internship ended. I'm doing a lot of real accounting work like posting journal entries, monthly closing tasks, and reconciliations and I'm basically locked into a full time position when I graduate. I'm a little concerned that if I don't go into public accounting for a few years it will limit my opportunities in the future. Can anyone give me advice? Should I try to stay with this company and get my CPA? If it means anything big 4 is probably not an option for me. I basically shit the bed my first few years of college (long story short I had a drug problem, went to rehab, and now I'm almost 2 years sober) so I'm a 25 year old junior and my gpa isn't very good although I've been crushing it in school ever since I got my act together. submitted by /u/Financial_Sundae_813 [link] [comments]

Will likely be offered a job as an “Accounts Receivable Specialist”, need some advice. Posted: 05 Nov 2021 01:32 PM PDT So I may receive an offer for an AR position with a construction company, and the pay is decent, especially for an AR ($55k). The thing is, I've read that AR isn't really considered accounting, it's more along the lines of data entry. These are the things included in the job description: Prepare, G/L reconciliations, analysis, and AR reporting. Assist in preparing monthly financial statements, reports, and records. Assist in preparation of budget forecasts and reforecasts for operating expenses. Work alongside 'Big Box' retailers to manage high volume EDI transactions. Post and process journal entries during the month-end close process to ensure all transactions are recorded properly. Assist with the preparation of audit schedules, providing document support, and managing inquiries for various financial audits. Maintain collections to ensure DSO does not exceed 90 days. I have a BA, and currently pursuing an MBA with a concentration in accounting. Should I accept this offer, or wait until I get some sort of junior/entry level accounting job? My worry is that the AR role isn't going to make that much of an impact on my resume, at least not as much as a "true" accounting job title. submitted by /u/Shay_Cormac_ [link] [comments]

When people in advisory say they work 45-55 hours, what does that mean exactly? Posted: 05 Nov 2021 03:55 PM PDT Are you billing 45-55 or online like 9-6 Monday-Friday. What's the day like? Advisory meaning: FAAS, TAS submitted by /u/ump13 [link] [comments]

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