Yakovenko Maksym

Data Analyst

I am a dedicated Data Analyst with a strong foundation in payment management and a genuine enthusiasm for working with numbers. With a meticulous and detail-oriented approach, I excel at analyzing and interpreting data to uncover valuable insights and optimize financial processes.

My experience as a Payment Manager has sharpened my analytical skills and honed my ability to navigate complex datasets, making me an asset when extracting meaningful information to drive data-driven decision-making.

Experience

Data analyst

Leroy Merlin Ukraine

Key responsibilities:

  • Work with databases, datasets and tables using SQL and BigQuery
  • Analysis of available data, data aggregation and cleaning
  • Using Google Looker Studio, I create visualizations of processed data and collect them in a dashboard
  • Schedule some jobs using Google CP Scheduled
  • Write scripts to automate processes in Python. Use of additional libraries: pandas, matplotlib
September 2023 - Present

Finance Manager

Individual entrepreneur Pryimak Andrii

Key responsibilities:

  • Accounting of a Limited Liability Company
  • Implementation of payments in the system client-bank
  • Control of AT / CT debt
  • Generated weekly, monthly, and annual financial reports for management
  • Managed payroll to ensure accurate and timely payment of salaries and benefits
  • Payment of salaries
  • Managed accounts receivable and accounts payable to ensure accurate and timely payment of invoices
  • Collaborated with vendors to resolve payment discrepancies and inquiries
  • Reviewed and approved invoices for payment in a timely manner
September 2010 - September 2023

Technical support

IPORT (Internet provider)

Key responsibilities:

  • Configuration of L2-L3 switches, client and other equipment
  • Customer support in solving technical issues that might arise
  • Identified and escalated major technical issues to engineering for resolution
  • Collaborated with cross-functional teams to identify and resolve customer issues
November 2011 - February 2022

Event Photographer

Key responsibilities:

  • Take photos
  • Converted raw images into web-ready formats with minimal loss of quality, resulting in faster loading times
  • Applied color and tonal correction to photos to reflect an artistic vision
  • Created high-quality images for print and web media, resulting in an increase in customer engagement and brand awareness
January 2015 - February 2022

Education

Kyiv National University of Construction and Architecture

Specialist of engineering
Industrial and civil engineering
September 2005 - June 2010

Skills

Programming Languages & Tools
Hard skills
  • Data Analysis
  • SQL
  • Python (basic)
  • HTML, CSS, JS (basic)
Soft skills
  • Ability to work efficiently both individually and in a team
  • Effective listening skills
  • Creative thinking skills
  • Analytical thinking
  • Good sense of humor
  • Accurate
  • Honest
  • Calm
  • Hardworking
Tools
  • BigQuery
  • Looker Studio
  • Google Analytics
  • Tableau
  • Microsoft Excel
  • DBeaver
  • PyCharm, VSCode
  • Git, GitHub
  • Linux, MacOS, Windows
  • Slack, Jira
  • Adobe Photoshop

Projects

BigQuery

I have hands-on experience working with BigQuery, specifically in the context of Google Analytics data.

I am proficient in extracting, transforming, and aggregating data within BigQuery to derive valuable insights. Through my expertise, I have effectively converted, filtered and aggregated datasets to uncover key trends and patterns, enabling data-driven decision-making.

Tableau

I have experience as a Data Analyst utilizing Tableau to create impactful dashboards. Leveraging a database containing movie information, genres, countries, and award winners, I have developed visually compelling and insightful visualizations.

Google Looker Studio

This project in Google Looker Studio focuses on creating a user-friendly dashboard to analyze the performance of advertising campaigns.

The dashboard provides valuable insights into key metrics such as spend, impressions, clicks, ROMI, CPC, CPM, and CTR.

By utilizing dynamic filters, users can easily customize their analysis based on campaign attributes and date ranges. This helps marketers optimize their budget allocation and evaluate the effectiveness of ad placements.

With clear visualizations and grouping of data by campaigns and dates, our dashboard enables data-driven decision-making and empowers advertisers to improve their strategies for better results.

Contacts

Get resume in .pdf

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