How is B Testing used?
Zippia reviewed thousands of resumes to understand how b testing is used in different jobs. Explore the list of common job responsibilities related to b testing below:
- Lead on-site behavioral analysis and web testing efforts for acquisition, retention and custom satisfaction optimization.
- Assist in multiple projects regarding dynamic conversion pages, A/B testing, system migration and custom campaigns for large clients.
- Defined parameters for A/B Testing within email marketing to boost open, click-through & conversion rates across the board.
- Performed A/B testing to determine the most effective email subject lines, HTML content, and call to actions.
- Conducted tests to optimize e-mail performance: creative A/B testing, banners, subject lines, text messaging.
- Led A/B testing for Shop Direct business, optimizing response rate, revenue, and profit per impression.
Are B Testing skills in demand?
Yes, b testing skills are in demand today. Currently, 2,087 job openings list b testing skills as a requirement. The job descriptions that most frequently include b testing skills are advertising analyst, director web marketing, and hacker.
How hard is it to learn B Testing?
Based on the average complexity level of the jobs that use b testing the most: advertising analyst, director web marketing, and hacker. The complexity level of these jobs is challenging.
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What jobs can you get with B Testing skills?
You can get a job as a advertising analyst, director web marketing, and hacker with b testing skills. After analyzing resumes and job postings, we identified these as the most common job titles for candidates with b testing skills.
Advertising Analyst
Job description:
Advertisement is essential for the promotion of the company and its products, as well as to improve sales. An advertising analyst works alongside a company's marketing and creative departments to improve promotion of goods and services. An advertising analyst monitors the market, checks competition, and devises strategies to outmaneuver competitors in advertising products. The analyst must have a keen sense of design and substantial knowledge of advertising techniques.
- Digital Marketing
- B Testing
- Client Facing
- ROI
- Data Analysis
Director Web Marketing
- Digital Marketing
- B Testing
- WordPress
- A/B
- Google Analytics
- Search Engine Optimization
Director Of Search Engine Optimization
- Digital Marketing
- B Testing
- Search Engine Optimization
- Google Analytics
- Organic Search
- Keyword Research
Search Marketing Specialist
Job description:
A search marketing specialist is responsible for utilizing web search engines for marketing operations. Their responsibilities include developing web platform strategies to attract visitors and potential clients, plan search marketing campaigns, gather and analyze data, and monitor the progress of campaigns, performing corrective measures as needed. There are also instances where they must produce written advertisement materials and come up with particular keywords. Furthermore, as a search marketing specialist, it is essential to maintain an active communication line with staff, coordinating every step of the way.
- Digital Marketing
- Paid Search
- B Testing
- A/B
- Marketing Campaigns
- Google Analytics
Marketing Manager, Email
Job description:
An email marketing manager is responsible for strategizing effective email marketing campaigns for the target audience by creating engaging digital content and sales pitches. Email marketing managers supervise the selling and distribution of products through electronic communication, as well as managing the staff's performance on responding to the customers' inquiries and concerns. They also identify business opportunities by analyzing current industry trends to meet consumer demands and interests. An email marketing manager must be keen on details, as well as knowledge of operating various software applications to create digital assets for brand awareness.
- Email Marketing
- Digital Marketing
- B Testing
- A/B
- HTML
- Marketing Campaigns
Marketing Technician
Job description:
A marketing technician provides the technical assistance needed to analyze, implement, and monitor the marketing programs. Besides performing statistical analyses and research and compiling yearly, quarterly, and monthly operations reports, marketing technicians also supervise business development tasks and property leasing activities. They work hand-in-hand with the company's purchasing staff to collect technical information needed to prepare proposal requests for special projects. These professionals evaluate and report programs that adhere to the applicable ordinances, regulations, and laws.
- Digital Marketing
- B Testing
- CRM
- Email Marketing
- SEO
- A/B
Email Marketing Specialist
Job description:
Email marketing specialists are employed to perform marketing tasks. These marketing specialists utilize email as a medium to reach potential and existing customers. They create campaigns for brands and to enhance traffic. It is their job to send and respond to emails. They establish a reputation in the competitive market. In businesses, they are considered important for the analysis of market data on the regional, national, and local levels. Knowledge of marketing and communication skills are important for this job.
- Email Marketing
- Digital Marketing
- Email Campaigns
- B Testing
- A/B
- Salesforce Marketing Cloud
Web Manager
Job description:
Web Managers are responsible for managing websites for organizations. Their duties include managing website upgrades, testing for website performance, implement a strategy to increase web traffic and subscribers, troubleshooting website issues, and responding to security breaches. They create content audits as well as ensuring the website has brand strategy alignment. A Web Manager ensures website compliance with all regulations and keeps abreast of the best practice of the industry. They must possess good problem-solving skills and knowledge in search engine optimization.
- Digital Marketing
- WordPress
- Html Css
- B Testing
- Google Analytics
- HTML
E-Commerce Analyst
Job description:
An E-Commerce Analyst is responsible for evaluating the company's retail performance in various online market platforms. E-Commerce Analysts coordinate with the sales team in developing efficient marketing and promotional campaigns based on sales performance and data analytics. They also analyze web traffic, search engine ranking, and branding features. They evaluate the current market trends to identify business opportunities that would generate more resources for the business, drive potential clients, and increase its profitability.
- Digital Marketing
- Google Analytics
- ECommerce
- Data Analysis
- B Testing
- KPIs
Senior Web Analyst
Job description:
A senior web analyst works hand-in-hand with planning and digital teams to analyze and provide insights across digital advertising campaigns and traffic acquisition. These professionals give recommendations depending on web analytics and digital insight. They use data visualization techniques to lead and outline business benefits and present findings in client meetings for excellent implementation. Moreover, senior web analysts partner with Business management team members to analyze and provide insights that enhance media strategies. Also, these professionals oversee digital analytics developments.
- Digital Marketing
- Google Analytics
- A/B
- Web Analytics
- B Testing
- Visualization
Digital Marketing Specialist
Job description:
A digital marketing specialist is an individual who is responsible for promoting products or services of a company using appropriate technology platforms effectively. Digital marketing specialists collaborate with marketing teams to plan and execute digital programs such as online advertising, social media, and mobile. They are proficient in digital technology tools that can include web advertising, social media, and web development. Digital marketing specialists must also develop multimedia packages and present recommendations to the company's director of marketing and communications.
- Digital Marketing
- Marketing Campaigns
- Email Marketing
- Google Analytics
- B Testing
- Lead Generation
E-Commerce Product Manager
Job description:
An E-commerce product manager spearheads and oversees the daily operations of a company's E-commerce platforms, ensuring everything runs smoothly and efficiently. It is their duty to manage e-commerce teams, streamline product roadmaps, set goals and guidelines, research new business opportunities, and develop strategies to optimize operations. They must also create social media campaigns and programs to increase brand awareness and online presence, thus translating into sales. Moreover, as a manager, it is vital to monitor the progress of operations while implementing the company's policies and regulations.
- Digital Marketing
- Google Analytics
- Project Management
- Customer Service
- B Testing
- A/B
Manager, Channel Marketing
Job description:
A channel marketing manager is responsible for monitoring an organization's marketing campaigns and promotional activities to specific channel platforms and ensure that the deliverables meet the interests of the target audience. Channel marketing managers work with the whole marketing team to improve pitches and develop marketing materials for brand awareness. They analyze the recent industry trends to identify business opportunities and generate revenue resources to support the company's long-term objectives and profitability goals. A channel marketing manager handles the budget of the department, allocating adequate assets to the team for marketing operations.
- Channel Marketing
- Digital Marketing
- Marketing Campaigns
- Project Management
- B Testing
- ROI
Technical Marketing Consultant
- Digital Marketing
- CRM
- Cloud
- SEO
- B Testing
- Product Development
Digital Marketing Analyst
Job description:
A digital marketing analyst is primarily in charge of performing research and analysis of marketing trends to develop new campaign strategies. They mostly prepare visual reports and presentations, coordinate with fellow marketing personnel, participate in creative meetings, gather data from clients, keep up to date with the latest trends, and identify new sales opportunities for the marketing team to utilize. Furthermore, a digital marketing analyst must adhere to all the policies and regulations.
- Digital Marketing
- Google Analytics
- Marketing Campaigns
- KPIs
- B Testing
- A/B
How much can you earn with B Testing skills?
You can earn up to $55,380 a year with b testing skills if you become a advertising analyst, the highest-paying job that requires b testing skills. Directors web marketing can earn the second-highest salary among jobs that use Python, $112,723 a year.
| Job title | Average salary | Hourly rate |
|---|---|---|
| Advertising Analyst | $55,380 | $27 |
| Director Web Marketing | $112,723 | $54 |
| Hacker | $88,716 | $43 |
| Director Of Search Engine Optimization | $103,538 | $50 |
| Search Marketing Specialist | $66,688 | $32 |
Companies using B Testing in 2025
The top companies that look for employees with b testing skills are Ford Motor, Intel, and Under Armour. In the millions of job postings we reviewed, these companies mention b testing skills most frequently.
| Rank | Company | % of all skills | Job openings |
|---|---|---|---|
| 1 | Ford Motor | 25% | 2,861 |
| 2 | Intel | 7% | 364 |
| 3 | Under Armour | 7% | 1,227 |
| 4 | Highmark | 7% | 5,451 |
| 5 | Clark Insurance | 6% | 0 |
Departments using B Testing
| Department | Average salary |
|---|---|
| Marketing | $85,390 |
11 courses for B Testing skills
1. A/B Testing 101
A/B testing, also known as split testing or hypothesis testing, is a powerful tool that lets you optimize business performance by helping you make data-informed decisions. A/B testing has countless applications. A few examples: Marketers A/B test campaigns to maximize ROIProduct managers A/B test new features on their website and apps to optimize the user experienceData scientists use A/B testing to improve their algorithmsUnlike most other courses, A/B Testing 101 isn't just about the mechanics of A/B testing. It's not only about what numbers to plug in to a calculator and what numbers to read out. Instead, this course goes into the full life cycle of experimentation - from planning through making data-informed decisions. Specifically, in this course you'll learn how to get the most from your experiments. You'll see: How to figure out what to test (develop an learning plan)How to plan and execute A/B tests in a way that will let you get the most insights, while reducing the time needed to run those testsHow to interpret test results, and other information, to make good decisionsWhile you won't learn statistical formulas in this course, you will come away with a strong grasp of the intuition and underlying principles behind those formulas so you can effectively run experiments and interpret resultsWhether an idea should be A/B tested, and alternatives to A/B testingHow to avoid common pitfalls in A/B testingAs part of the course material, you will also get these tools to help you implement A/B testing best practices: Experiment planning formA/B Testing Calculator ReferenceSample Experiment Decision Making Flow ChartI will also provide you links with optional reading material so you can learn about additional concepts related to A/B testing. Tags: A/B testing, hypothesis testing, split testing, experimentation, statistical significance, t-test, AB testing...
2. A/B Testing in Python
A/B testing is a tool that helps companies make reliable decisions based on data. This is one of the fundamental skills you need to land a job as a data scientist or data analyst. Do you want to become a data scientist or a data analyst?If you do, this is the perfect course for you! Your instructor Anastasia is a senior data scientist working at a Stockholm-based music streaming startup. She has earned two Master's degrees in Business Intelligence and Computer Science, and grown from a recent graduate to a Senior role in just 3 years. Anastasia has performed a significant number of A/B tests for large tech companies with hundreds of millions monthly users. By taking this course, you will learn how to:· Define an A/B test· Start an A/B test· Analyse the results of an A/B test on your ownAlong your learning journey Anastasia will walk you through an A/B testing process for a fictional company with a digital product. This case study unfolds throughout the course and touches on everything from the very beginning of the A/B testing process to the very end including some advanced considerations. Moreover, Anastasia takes some time to share with you her advice on how to prepare for the questions on the A/B test interview for a data scientist or data analyst position. One strong point of differentiation from statistical textbooks and theoretical trainings is that the A/B Testing in Python course will teach you how to design A/B tests for digital products that have millions or hundreds of millions of users. It is a rare overview of the A/B testing process from a business, technical, and data analysis perspective. This is the perfect course for you if you are:- a data science student who wants to learn one of the fundamental skills needed on the job- junior data scientists with no experience with A/B testing- software developers and product managers who want to learn how to run A/B tests in their company to improve the product they are buildingYou will learn an invaluable skill that can transform a company's business (and your career along the way). So, what are you waiting for?Click the 'Buy now' button and let's begin this journey today!...
3. A/B Testing and Experimentation for Beginners
Learn what A/B testing is and how you can use it to make data driven decision to help your marketing, conversion rate and and customer experience. The course will cover fundamentals of A/B testing, provide you the process that you can use to start A/B testing today, along with some examples to get your creative juice going. The applications for A/B testing are various, some of them are Product Changes - Web, Desktop, Mobile Marketing Messages Landing Page OptimizationCreative designCall to actions Funnel conversions Search MarketingConversion Rate Optimization (CRO)Growth hackingLearn how to setup an A/B test in Google Optimize All major organizations such as Facebook, Google, Amazon, Microsoft, Twitter, etc. spend millions of dollars on A/B Testing. Understand the fundamentals so you can learn and apply too. I have worked several major organizations and helped them deliver better marketing, better conversion and better customer experience using the content I will deliver in this course. Why you should learn from me? I have been in Digital Marketing and Analytics for over 15 years. I have trained people from diverse backgrounds and have converted them into high performing Digital Marketers and Analysts. I understand both the technology and marketing side of business. I have dealt with many analytics technologies way before Google Tag manager existed and know the inner working of Digital Analytics. I have extensively worked with companies like Microsoft, Starbucks, Wall Street Journal, ESPN, T-Mobile to name few and helped them with Data Driven Marketing Decisions. In addition, I have developed various course and taught students from all over the world. I am online instructor for University of British Columbia (Canada), University of Washington (USA), Bellevue College (USA) and Digital Analytics Association. I have an engineering degrees and an MBA...
4. Bayesian Machine Learning in Python: A/B Testing
This course is all about A/B testing. A/B testing is used everywhere. Marketing, retail, newsfeeds, online advertising, and more. A/B testing is all about comparing things. If you're a data scientist, and you want to tell the rest of the company, "logo A is better than logo B", well you can't just say that without proving it using numbers and statistics. Traditional A/B testing has been around for a long time, and it's full of approximations and confusing definitions. In this course, while we will do traditional A/B testing in order to appreciate its complexity, what we will eventually get to is the Bayesian machine learning way of doing things. First, we'll see if we can improve on traditional A/B testing with adaptive methods. These all help you solve the explore-exploit dilemma. You'll learn about the epsilon-greedy algorithm, which you may have heard about in the context of reinforcement learning. We'll improve upon the epsilon-greedy algorithm with a similar algorithm called UCB1. Finally, we'll improve on both of those by using a fully Bayesian approach. Why is the Bayesian method interesting to us in machine learning?It's an entirely different way of thinking about probability. It's a paradigm shift. You'll probably need to come back to this course several times before it fully sinks in. It's also powerful, and many machine learning experts often make statements about how they "subscribe to the Bayesian school of thought". In sum - it's going to give us a lot of powerful new tools that we can use in machine learning. The things you'll learn in this course are not only applicable to A/B testing, but rather, we're using A/B testing as a concrete example of how Bayesian techniques can be applied. You'll learn these fundamental tools of the Bayesian method - through the example of A/B testing - and then you'll be able to carry those Bayesian techniques to more advanced machine learning models in the future. See you in class! If you can't implement it, you don't understand itOr as the great physicist Richard Feynman said: What I cannot create, I do not understand. My courses are the ONLY courses where you will learn how to implement machine learning algorithms from scratchOther courses will teach you how to plug in your data into a library, but do you really need help with 3 lines of code?After doing the same thing with 10 datasets, you realize you didn't learn 10 things. You learned 1 thing, and just repeated the same 3 lines of code 10 times... Suggested Prerequisites: Probability (joint, marginal, conditional distributions, continuous and discrete random variables, PDF, PMF, CDF)Python coding: if/else, loops, lists, dicts, setsNumpy, Scipy, MatplotlibWHAT ORDER SHOULD I TAKE YOUR COURSES IN?: Check out the lecture Machine Learning and AI Prerequisite Roadmap (available in the FAQ of any of my courses, including the free Numpy course)UNIQUE FEATURESEvery line of code explained in detail - email me any time if you disagreeNo wasted time typing on the keyboard like other courses - let's be honest, nobody can really write code worth learning about in just 20 minutes from scratchNot afraid of university-level math - get important details about algorithms that other courses leave out...
5. Learn to A/B test like a professional
By the end of this course you'll have a clear understanding of A/B testing and how it fits into the overall conversion rate optimisation (CRO) process. You'll be able to set up and run A/B tests that will help you to improve your website's conversion rates. A large number of A/B testing courses out in the marketplace just show you how to set up and run A/B tests. This is all well and good, but they tend to miss out on critical elements within the whole process - like setting and measuring goals, gathering insights and creating problem statements and hypotheses. In this course I take you through the entire A/B testing process, incorporating: Setting a baseline and goals;Gathering insights;What the different types of experiment are;What you should do before, during and after running an A/B testDocumenting your experiments. The course is suitable for both beginners and people with digital marketing experience. It's ideal if: You want to start running A/B tests but don't know where to start. You already work in marketing and want to expand your knowledge. You run a small or medium-sized business and want to increase your sales...
6. Coding for A/B testing: Run more AB tests, find more winners
** Bestselling A/B testing course on Udemy in the category: A/B testing**As a Conversion Optimization specialist or as someone working on website A/B testing, your success is often determined by the number of A/B tests you run and the number of test winners you find. So the more tests you run, the higher your chance of success. But very often, the IT department is a major bottleneck for us. When we want to set up a test, it ends up at the bottom of the IT backlog, costing you valuable time and decreasing your chance to be successful in AB testing. If you recognize this situation, then this is the right course for you. By taking this course you will learn: HTMLCSS for website AB testingJavaScript (jQuery) for website AB testingData tracking for website AB testingSetting up 60 to 90% of your own A/B tests without the help of a developerThis helps you to set up and run many more A/B tests and greatly increase your success. The course is set up in a practical and engaging manner. Together, we will start with the absolute basics before building many different kinds of A/B tests on your own website, while we increase the complexity step by step. The course is designed for people with no coding skills, and for those that have some experience already. The learnings in this course are applicable to every testing tool on the market. Coding for A/B testing course structureSection 1: IntroductionSection 2: HTMLSection 3: CSS for AB testingSection 4: jQuery for AB testingSection 5: JavaScript for AB testingSection 6: Data gathering for AB testingSection 7: Debugging & Quality assurance for AB testingSection 8: Thank youOf course, there are many web development courses out there. But there is one big difference: As a Conversion specialist, you don't build websites, you chance them. This requires a completely different focus on coding while also making sure you obtain reliable and trustworthy data. Web development courses help you to build websites, this course helps you to build and run reliable and successful A/B tests. The course is designed for anyone working on A/B testing. Conversion specialists, growth hackers, and even front-end developers can hugely benefit from this course. Now let's get started. Feel free to check out the free preview lectures, or start taking this course right now...
7. Create an A/B web page marketing test with Google Optimize
In this 1.5-hour long project-based course, you will learn how to create an A/B web page marketing test with Google Optimize and Google Analytics, personalizing weight option, goals, targeting, activation, and using a sample Google Sites to practice. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions...
8. Ultimate Google Optimize Course: Start A/B Testing Now!
Google Optimize is the free A/B testing and experimentation tool from Google (paid version is called Google Optimize 360). Its ease of use, its completeness and its free nature make it an essential tool for anyone who wants to improve the efficiency of their website today. In this course, you are going to learn everything you need to start using Google Optimize through theory and practical videos. Starting from very basic notions such as, what is Google Optimize and A/B Testing and how it works, we will dive into advanced concepts such as, how to do advanced tests and improve average revenue per user thanks to experimentation. At the end of this course, you will: Master all the types of tests available in Google OptimizeKnow how to create the right test strategy for your website, depending on your objectiveMake better decisions for your website based on dataYou don't need to be a pro to take this course. I will be by your side throughout your learning process and I made sure that the content is focused on what is the most important, without you ending up getting lost in useless modules or features. We are going to be a great team. See you on the course!...
9. Beginners Guide to Adobe Target:A/B Testing,Personalization
Looking to improve your website's performance and increase conversion rates? Look no further than this comprehensive beginner's course on Adobe Target. With step-by-step guidance, you'll learn the essentials of A/B testing, personalization, and data analysis. Discover how to set up tests, create audiences, and evaluate results. Plus, explore best practices for maximizing the impact of your website's content. You'll start by getting familiar with the Adobe Target interface and exploring its features. You'll learn how to create and implement A/B tests, including how to define your test goals, target your audience, and analyze your results. You'll also explore personalization and how to use Adobe Target to create unique, data-driven experiences for your customers. But it's not just about the technical aspects of Adobe Target - you'll also learn how to use data to drive decision-making. You'll explore how to analyze your results, evaluate the impact of your tests, and identify opportunities for further optimization. Throughout the course, you'll gain valuable insights into content optimization, including targeting and segmentation. You'll learn how to use these tools to deliver personalized experiences that engage your customers and drive conversions. By the end of this course, you'll be equipped with the skills you need to start optimizing your website for success with Adobe Target. Whether you're a marketer, web developer, or data analyst, this course will give you the tools you need to create personalized, data-driven experiences that drive results. Enroll today and start taking your website's performance to the next level...
10. Complete Course on A/B Testing with Interview Guide
Have you always wondered how companies like Google, Facebook, Amazon use experimentation and AB Testing to launch successful products?Do you want to apply online experimentation at your start-up or your current role?Or maybe you are interviewing for a role in big Tech and wondering how to succeed in those interviews?With the rise of smartphones, online controlled testing has really come to the forefront. If you do a google search for Experimentation or A/B testing, you will come across thousands of blogs and articles that discuss this topic. Unfortunately, most of them are either full of inaccuracies and misinterpretation of mathematical concepts Or they are too difficult to understand. This is not surprising. A/B testing is a deep area - there are many nuances involved throughout the process from conceptualization & design all the way to implementation & analysis. This course addresses this. I have designed this course to go deep into important statistical concepts but in a way that is easy to understand using everyday examples. In just two hours, you will learn -What product experimentation is and how to do it rightWhat is AB Testing, Multivariate Testing and Multi-armed Bandit TestingWhat is the relevance of statistics in AB testingWhat do statistical concepts such as confidence intervals, Type 1, Type 2 errors, p-value, statistical significance and statistical power mean And how do they fit in the big pictureAnd how to calculate sample size and duration for a successful AB testHow to excel in AB testing interviews through real interview questionsAll these concepts will be reinforced with real world examples from companies such as Amazon, AirBnb, Square and Uber. I will also provide you with templates and cheat sheets that have really helped me in my career. In 2 hours, you can master product experimentation and immediately start applying it in your job or interviews. See you in the course!...
11. Learn Google Optimize - Beginners - Free A/B Testing Tool
Google Optimize is a free testing and experimentation platform from Google (paid version is called Google Optimize 360). Considering wide popularity of Google Analytics and Google Optimize's easy integration with Google Analytics makes it one of the best tools for running A/B Test, MVT and experimentation. Those seeking a new job this tool with add value to your resume so go ahead and signup. In this course you will learn everything you need to get started with experimentation. We will cover Signup for Google OptimizeUnderstand Accounts and ContainersSetup Google Optimize codeCreate A/B testCreate Redirect testCreate Multivariate test A must know tool for Digital Marketers, Digital Analysts, Growth Hackers and Conversion rate Optimization professionals or those seeking to enter these fields. Here is what some of the students are saying: Brad Bookser Anil is an excellent instructor. He provided a clear and concise introduction to Google Optimize. I now have a better understanding of how to set up accounts, containers, and experiments in Google Optimize. If you are looking for an excellent introduction that will get you started with Google Optimize, I highly recommend this course. Joseph Cox Excellent Course!!!! Although the course is short it is concise. The instructor goes into great detail on how to setup your A/B testing campaigns using the testing Tool. As soon as the course begins we get right into what the tool is useful for, how to incorporate the tool into your business workflow and connecting the tool to your web properties/campaigns which need to be tested and then how to incorporate them into your current analytics tracking/reporting scheme. Why you should learn from me? I have been in Digital Marketing and Analytics for over 15 years. I have trained people from diverse backgrounds and have converted them into high performing Digital Marketers and Analysts. I understand both the technology and marketing side of business. I have dealt with many analytics technologies way before Google Tag manager existed and know the inner working of Digital Analytics. I have extensively worked with companies like Microsoft, Starbucks, Wall Street Journal, ESPN, T-Mobile to name few and helped them Data Driven Marketing Decisions. In addition, I have developed various course and taught students from all over the world. I am online instructor for University of British Columbia (Canada), University of Washington (USA), Bellevue College (USA) and Digital Analytics Association. I have an engineering degrees and an MBA...