太阁 Data Analytics Iris Wang
Introduction
My Background Industrial engineering and management science and Economics Double Major From Northwestern University A.T.Kearney Master of Analytics From Northwestern Walmart ecommerce Adobe
My Path To Analytics Industrial Engineering Management Consulting Analytics
The demand for analytics professionals keeps increasing Chart from http://www.edureka.co/blog/10-reasons-why-big-data-analytics-is-the-best-career-move Source: Indeed.com
Analytics career has a good return on investment Chart from http://www.edureka.co/blog/10-reasons-why-big-data-analytics-is-the-best-career-move
Analytics experience trains skillsets across different disciplines Chart from https://www.springboard.com/blog/data-science-career-paths-different-roles-industry/
What are the different filed of analytics? Filed Business Area Key Role Business Partner Example Business analytics Business Units (e.g. Marketing, Business Development etc.) Analytics support for key decision making Business Leaders https://www.linkedin.com/jobs/view/196927674?recom mendedflavor=in_network&trk=job_view_similar_j obs Customer/user analytics Business Units (e.g. Marketing, Product, User/Customer Experience etc.) Customer/User behavior analysis Marketing managers https://www.linkedin.com/jobs2/view/189118870?refid =632968361474519046016&trk=vsrp_jobs_res_name &trkinfo=vsrpsearchid%3a63296836147451904601 6%2CVSRPtargetId%3A189118870%2CVSRPcmpt% 3Aprimary Product analytics Product Management Make a product more successful Product Manager Engineers Researchers Designers https://www.linkedin.com/jobs/view/115668894?refid= a8744bb9 Operation Analytics Operation Units (e.g. Supply Chain, Logistics, Legal, HR etc.) More efficient operations, Cost saving Depends https://www.linkedin.com/jobs/view/207010435?trkinfo =searchkeywordstring%3aoperations%2bdata%2ba nalyst%2csearchlocationstring%3a%252c%2b%2c vertical%3ajobs%2cpagenum%3a1%2cposition%3a 7%2CMSRPsearchId%3A63296836_1474519095851 &refid=63296836_1474519095851&recommendedfla vor=in_network&trk=jobs_jserp_job_listing_text
What will I be working on? Example: Customer Segmentation Chart from https://select-statistics.co.uk/wp-content/uploads/2015/11/market_segmentation_clustering_example.png
How to choose an analytics team? Yes I want to have a variety of industry experience Consulting No Cooperate I want to work with other analysts Yes Centralized Analytics Team No Embedded in business/product team
There are many possibilities for an analytics professional Analyst Senior Analyst Manager Senior Manager Director VP CAO
Analytics professionals have a wide variety of career path More understandi ng of algorithms Advance Technical Skills Analytics Data Scientist
Analytics professionals have a wide variety of career path Analytics MBA Industry Expertise Business Manager/Decision Maker
Analytics professionals have a wide variety of career path Analytics Product Knowledge Experience of working with engineers Product Manager
What are the top used tools for analytics professionals Chart from: http://www.kdnuggets.com/2015/05/poll-r-rapidminer-python-big-data-spark.html
What are the common steps of an analytical project? Data Processing Problem Definition Models & Algorithms Business Understanding Exploratory Data Analysis SQL R/Python/Others Statistics R/Python/Other Statistical Modeling Presentation and Production PPT/Tableau/R Shiny/D3 Communication
Commonly used models Supervised Learning Unsupervised Learning Regression based models Decision Tree based models Clustering Principal Component Analysis Black box models 17
What are the different types of interviews? Technical Questionnaire Data Exercise Interactive Coding Exercise Technical Phone Interview Behavioral Interview In-person Interview
Technical Questionnaire Technical Questionnaire is like test, usually timed, covers a variety of topics like SQL Query Questions Simple Coding Questions Insights Discovery Questions Modeling Questions Probability/Statistics Calculation Many More
Data Exercise Data Exercise is a small analytics project which the candidate is asked to provide analytical insights based on the data provided. Example: We have an app like Weibo and we have the following user data, please use the data provided to answer the following questions: 1) What can you observe about our user retention? 2) What are the important features impacting user retention? 3) Build a predictive model for user retention of the next year (less common for analyst interview)
Data Exercise: Example Data
SQL Coding Test An interactive interface usually will be provided and the candidate is ask to write sql code Example: For the same company, we have the following two tables. Please write SQL query to answer the following question: 1) On average, how many followers does each user have? 2) Get the w most popular users in the NA region in the first week of 2016
SQL Coding Test: Tables T1 T2
Behavior Questions Behavior questions are focused on your experience and are used to test your soft skills like leadership, team work. However sometimes, they can have an analytics aspect as well. Examples 1) Give me a time when you had to challenge the status quo. How did you approach it? 2) Give me an example of how you used data to solve an urgent business problem.
Behavior Questions : Structure Chart from: http://sounddesignlive.com/interview-tips-sound-engineers-star-technique/
How do I prepare? Be comfortable with all SQL functions and complex SQL queries Have a thorough understanding of basic statistics concepts Create a summary of all the necessary models Prepare the STAR of behavior questions
How do I select candidates? SQL Expertise Solid statistics knowledge Sufficient modeling experience (which depends on the job level) Familiarity with at least one statistical language Strong communication skills Honesty!!!
What is the best way to learn analytics? Learn Project Summarize Practice
Q & A
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