Position: Senior Data Analyst
Category: Data Analyst
English level: fluent
Years of experience: 8


Dec 2021- present -Content Data Science Team Lead, Picsart
Project: Content Data (ongoing)
Challenge: The team was challenged to create a KPI system/dashboard to measure and optimize content across multiple business units. How content events were collected and stored were different across the business units, so creating unified analytics was a priority.
Summary: We collaborated with ALL the business units that had content as a business function. By "cleaning" the data and conforming a large part of it to a unified system we were able to extract user insights that were previously underserved. On top of that we are creating a KPI system to measure optimal use of content.
Result: Phase 1 of the project, which includes:
 documentation of analytics for more than 1000 user flows,
 QA testing,
 100+ bug reporting and fixing,
 the new PRD setup for missing events.

Jan 2020- Nov 2021- Monetization Data Science Team Lead, Picsart
Project: Picsart Formula
Challenge: The GEM (grow, engage, monetize) formula had become stale and outdated and required a revamp. As the monetization data science team lead I was responsible to manage the entire project to restructure the KPI system for growth, engagement and monetization. Summary: The approach we took was purely data driven. We were able to measure the impact of each component of the formula (growth, engagement and monetization) on revenue. Tying in revenue impact as the key metric for each of the business units was crucial to the project's success.
Result: As a result the “butterfly effect” took hold and each unit better understood their impact of total revenue. Collaboration between revenue driving teams became frictionless. The quarter after the implementation of the new Picsart Formula our revenue grew by 10%.

Project: Monetization Dashboards
Challenge: Having multiple data sources and multiple teams working off of monetization data streams was extremely messy. There was a need for a unified data structure and managerial reporting.
Summary: Back in the days the business model was different and there was a separate Tableau dashboard for each Monetization KPI. As the company grew, there was a need to create an all in one dashboard that would be developed with a logic chain, and migrate from Tableau to Looker. Initially we worked with backend developers to clean the data and fix the bugs, then did some code/job adjustments.
Result: In a 6 months period we achieved a unified dashboard for all Monetization KPIs.
I have spent most of my professional life at Picsart (a high flying unicorn) overseeing a team that deep dives into data, translates those data points into insights and collaborates with different business units to implement strategies and tactics based on those insights. 
Although Picsart is very close to my heart but it's time to make a step to new challenges by gaining new skills and experience that will help me in my career advancement.