Welcome to Data Analysis Journal
Go behind the scenes of genuine data analysis and data storytelling.
Data Analysis Journal is a weekly newsletter and advice column about data analysis, data science, and product analytics.
I’m Olga, an analyst, data scientist, and big data enthusiast. Born in Ukraine and based in San Francisco, I’m an analyst both at heart and by choice, and I do believe that math rules the universe.
One of my favorite things to do is to set some time aside, preferably entirely too late at night, and stare coldly into foreboding time series charts until they permanently burn into my retinas. When I am not doing that, I write about all the data things people make me do at work with the hope to expand and advance analytics.
With over a decade of trial and error, I share what good or bad analysis practice is, what framework to use to best solve a challenge, what interviewers look for, how to hire the best analysts, and how to successfully structure and grow data teams.
When you subscribe to Data Analysis Journal, you will receive:
Weekly SQL and Python solutions, interview questions, and guidance.
Deep dives and analytical case studies.
Data analysis project examples and walkthroughs.
How to approach A/B tests, real-life scenarios, and implementation.
Insights from data analysts and data science experts.
My frameworks and playbooks for metric calculations, test evaluations, and forecasts.
What readers say
“Olga's data analysis journal helped me switch careers from consulting to Tech because I was able to develop a Product analytics mindset through her articles on user retention, cohort analysis, product adoption, and SQL Interview questions.“ - Sangamitra, Product Analyst
“In addition to being full of resources, Olga's newsletter provides a crucial framework for understanding the practice of data analysis. Read it to gain insight into real-world analytics problems and find ways to improve your own skills.” - Lira, Analytics Manager
“Olga's newsletter is a one-stop-shop for all of your data-related resources, whether you're starting out new in the industry or a seasoned data enthusiast - you'll find great information that'll help expand your data world! I love the wide variety of topics this newsletter covers that you'll be sure to learn something new from it. I'm so glad to have this newsletter as a resource when I transitioned into the industry last year. I call this my e-mentor! “ - Helen, Data Scientist
“I’m a Product Manager, and I always struggled with analytics. This journal provides the right guidance for me like - what to look for running tests, conversions to track, rates and metrics to know. Must read for every Product Manager.” - Jonathan, Product Manager
“I’ve been reading Olga’s newsletter for as long as I can remember. As someone new to the industry her newsletter felt like having a personal data mentor showing me the do’s, don’ts, and what’s new in the industry. It’s a must-read for anyone starting out in the industry or wanting to keep up in the industry i.e everyone!” - Adaobi, Analyst
“I find the Journal is quite helpful for staying in the loop of things. With how fast-moving technology is, it can be quite difficult to keep track of everything that’s happening out there. Having a newsletter compile all the interesting tidbits helps immensely. Also good for browsing through other’s projects for inspiration, or reading interesting data stories!” - Aaisha, Data Scientist
Random post picks
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Paid subscribers will receive one newsletter a week and get full access to the website along with my mentorship and support.
Free subscribers will receive one newsletter per month.
All revenue from subscriptions is donated to Ukrainian Children's Aid and Relief Effort charity.
*If your company would like to purchase a group subscription at a discounted rate, please contact me at email@example.com
**If you are looking for a job, and can’t afford a paying subscription at the moment, please email me, and I will set you up!
I love what I do, and my mission is to show you just how exciting and impactful data analysis can be.