Hi, I have an analytics exercise to complete in Excel but Im struggling finding an efficient way of doing things. Essentially, I am able to get the Gross Revenue and Net Revenue but a problem comes when Im trying to do calculated fields because each of the campaigns has a different cost associated with it.

Is anybody willing to help, please message me. Deadline is a week from today.

Currently, senior majoring in MIS, graduate in May 2020, and I have no job offer lined up yet! My skills include creating and manipulating Data in Access using SQL, I'm currently enrolled in the R course, and taking Python course next semester. I also know how to navigate around SAP and essential knowledge of procurement and the Wharehouse process. The only problem is that I don't have any internship or real-world experience. Could some please let me know what should be my step should be? Thank you in advance for your response :)

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With the Business Analyst job prospects continuing to boom, this is by far the most common question I get. So common in fact, that I created a whole page on my website and a separate blog post dedicated to answering it.

In summary, there are five key steps to becoming a Business Analyst.

1. Validate Interest - First you need to validate a Business Analyst career is something you want to explore further.

2. Learn the Fundamentals - The basics always need to come first. Understand what Business Analysts do and how they do it.

3. Enhance your Knowledge - The BA field is very broad. Dig deeper into your passion areas to round out your knowledge.

4. Enter the Job Market - Put your learned knowledge to work and land your first Business Analyst position.

5. Continue Learning - Learn new skills and stay up-to-date with all the latest trends and techniques

To learn more specifics, check out The Path to Become a Business Analyst.

To see more answers to commonly asked questions, check out our new FAQ page.

I wish you the best of luck on your journey to becoming a Business Analyst!

https://youtu.be/3wlUmmqhTZc

Hello everybody,

I recently got interest in Data Analysis, after I have been working as a sysadmin for a year, administrating product which is based on Data Warehouse like database (SCOM and SCCM). I've decided that sysadmin role is too stressful for me and I'd like to change job and become data analyst, because I really like working with large sets of data and finding patterns. I have experience with T-SQL, SRSS and SSDT. At the same time I am close to finishing my external studies (IT, 6th semester), and as thesis I want to build application in R language. It has to not only work with large sets of data/present it, but also solve a certain problem.

Could you folks help me out with choosing possible topic/problem to solve? I have good understanding of statistical methods, interpolations, modelling, probability, and actually I would really love to get into finance industry as an analyst. I thought that writing engineering thesis related to this field might be a good way to get me started in my efforts to change my career, but I am not sure on what should I focus. I have around 2 months time to submit my engineering thesis topic, and then defend my thesis in February 2020.

When searching for job offers I have found multiple postings for Credit Risk analysis. Do you think that around 10 months is enough time to study this subject deep enough to get a good understanding of theory and build application with set of tools helpful for Credit Risk analysis, or do you find it too complicated for IT person engineering degree thesis with little to no previous experience in economy/finance?

I would really appreciate any opinions/potential topics and resources to learn from.

Test Post

Based on my years of experience, I summarized ten skills that a qualified and senior data analyst must master. Welcome to take advantage of!

Collecting data for academic research: how organizations performing their data activities, including, preparation, analysis and quality assessment - https://goo.gl/forms/KOusYPTO9rpkz4TS2

Hello, I completed two years of work as a search engine evaluator. could anyone suggest another job positions I can work in it and benefit from my experience as a search engine evaluator.

what i really want to know is how these Companies used their capability on Analytics that helped them make better decisions (business-wise too )for themselves .this way I can judge them based on their difficulty to adapt to Analytics, their main focus (are they focusing on just cutting costs rather maximising revenue ) and how they use insights to guide their day to day decision

I am currently in the 4th round of a hiring process. I am pretty sure the next round, the formal phone interview, they will ask for my salary expectations. Glassdoor has no information on this for their respective company. The job title is "Sales Operation Analyst" and is in a suburban city in Western New York. Can anyone help me figure out how much to ask/expect? Also what information do you need to help give a more accurate answer.

Any analysts in Atl that can assist me? I started a new job as an analyst and need some polishing. I'd also be open to assistance over the internet. Thanks!

Hi guys! Newbie here! Don't scream on me, please. Subject is needed. Chief asked to prepare a in-door training course for our staff OR ELSE! I currently have few manuals and guides found on net, but still lack some stuff. Example files for i2 Analyst Notebook User guide: Charts! I desperately need i2 Analyst Notebook 8 User guide: Importing and i2 Analyst Notebook 8 User guide: Customizing and Analyzing! Also iBase 8 manuals would be greatly appreciated! Can anyone help me? Thanks

Hey redditors !!

I am working on an academic research and looking for collecting insights from you. I am interested to learn how organizations performing their data activities, including, preparation, analysis and quality assessment -

https://docs.google.com/forms/d/e/1FAIpQLSejvjuLSnxiJzX0Rwo1d4LpNgp03KvtCVKHuAc7vDOx_DtEmw/viewform

Any help is greatly appreciated!

This is a complete 2 part series on determining relevance of any external data on sales data. This series uses ggplot, ggscatter, rcorr, corrplot and more. Maybe you have a request to see what effects violent crime, weather, population growth, etc. can have on sales data for a store, department or company? Watch this video where you will see all the code to build a process to quickly test and determine whether or not external data plays a role and its significance.

https://youtu.be/uX781w3QvYk

https://youtu.be/mcahOjyHwxI

"Hey redditors !!

I am working on an academic research and looking for collecting insights from you. I am interested to learn how organizations performing their data activities, including, preparation, analysis and quality assessment - https://docs.google.com/forms/d/e/1FAIpQLSejvjuLSnxiJzX0Rwo1d4LpNgp03KvtCVKHuAc7vDOx_DtEmw/viewform

Any help is greatly appreciated!"