Position: Junior Data Analyst
Category: Data Analyst
English level: upper
Years of experience: 1

Successful completion of test tasks

Months of active study of analytics

Three-week basic statistics course in 5 days (sometimes I'm over motivated)

Regular attempts to master machine learning (small result by link in CV)

Web-application with using Java, MySQL, CSS/HTML, ORM, Hibernate (so, knowledge in architecture of data on back-end)

Hand-written data mining algorithms on Python (Naive Bayes algorithm, Page Rank algorithm, K-means clustering, Market Basket Analysis)
Working with data in Python (Pandas, NumPy, Matplotlib, Seaborn)
Awesome interactive SQL trainer
Excel including pivot tables and other (Access - excellent; Word, Power Point - as usually)
Data visualization tools (Tableau, but will be more soon)
Mathematical statistics in theory (wish to practice on A/B testing)
Analytical metrics and job interview secrets from experienced data analysts' videos
Flexible working hours and friendly atmosphere, of course