Position: Middle Data / Product Analyst
Category: Data Analyst
English level: fluent
Years of experience: 4

Developed a pipeline that provided tooltips about customer recent activities based on transactional profile (ie "is renovating", "planning a vacation") for call center, which resulted in a 5% uplift in sales and garnered appreciation of call center employees.

Analyzed sets of customer attributes that lead to a purchase, when developed as a triggered pipeline with automatic offer generation this provided 7% uplift in sales.

Analyzed retention and customer activity for customers with a specific product that was designed as retention enabler Demonstrated how it is inefficient, which allowed to save resources allocated to support the product.

Executed a just-in-time power analysis of a big call-based AB-test that resulted in review of the experiment design and allowed to avoid spending resources on an invalid test.

Analyzed amount of documents to be filled before purchase of a product, prepared a visualization of pages signed before purchase to emphasize the need for optimization. Visualization resonated with stake-holders and document package optimization has become a priority.
# Profile
I work as Data Analyst / Scientist, building cloud-based analytics solutions to enhance customer experience by cutting unwanted communications and providing optimized just-in-time offers.

Previously worked as a data / product analyst in a team developing a chatbot that provides users with an interface to messaging-based finance and as a Data Analyst in finance.


# Skills & Technologies

## SQL
I have experience working with an enterprise-grade DB and datasets ranging into hundreds of millions of records. I have written thousands of queries and can confidently perform any join, fluently use window functions, author stored procedures etc.

## Data Analysis in R / Python
I have performed over a hundred ad hoc analyses, delivering insights into customer acquisition dynamics, customer behavior and product profitability. I am very comfortable with all steps of the data analysis loop, from data cleaning and transformation to analysis and visualization. Have experience with sourcing data and integrating data from disparate sources.

## Visualization
I have an extensive working experience with visualizing data. I have solid grasp of principles of good visualization practice and experience in both automated figure generation and preparation of publication-quality reports. Familiar with creating dashboards in Power BI, looking to develop my skills in this area further.


## A/B Testing
Experience with calculating the sample size and interpreting results (winner, uplift) for AB tests with sample sizes in the tens of thousands. Looking to develop my skillset further in this area and tackle bigger and more complex designs. Computed efficacy of medications (assumptions verification, effect size, significance, confidence intervals) in clinical trials (as independent contractor).
Product company preferred
Company has an analytics team
Remote or Remote/Office hybrid
Flexible hours preferred