Location
PolandRate
Years of experience
7+About
As a results-driven Data Analyst proficient in SQL, Python, and Excel, I excel at transforming data into actionable insights. My expertise includes creating compelling visualizations using Power BI and QuickSight, and collaborating with international teams for seamless data-driven decision-making. I utilize NumPy and Pandas for advanced data manipulation and analysis, and Git for version control. I also have experience in ETL processes, ensuring data accuracy and consistency. Currently, I am open to relocating for the right opportunity to further contribute to data-driven success. In my role as a Senior Compliance Associate at Amazon since July 2021, I have successfully launched several significant projects, boosting productivity and improving program quality. My responsibilities have included data analysis within compliance operations, utilizing SQL, Python, and Excel to process and analyze large datasets. I implemented ETL processes and developed JavaScript scripts to streamline tasks and enhance efficiency. Additionally, I played a pivotal role in the recruitment process and created Chrome extensions to improve daily task efficiency. As a freelance Data Analyst on Upwork since 2017, I have completed over 100 projects for clients worldwide, delivering tailored data insights, recommendations, and visualizations. My proactive problem-solving approach and ability to communicate complex data findings effectively have consistently exceeded client expectations.Tech Stack
SQL, Data Analysis, ETL, Git, JavaScript, MS Excel, Numpy, Pandas, Power BI, PythonExperience
- At Amazon, successfully launched four major projects, resulting in a 50% boost in productivity and a 20% improvement in program quality.
- Proficiently handled data analysis within compliance operations using SQL, NumPy, and Pandas, and implemented ETL processes to streamline data integration and transformation.
- Created multiple JavaScript scripts and Chrome extensions to automate repetitive tasks, saving significant time and improving efficiency.
- Played a pivotal role in recruiting over 10 candidates for various roles within the compliance operations team at Amazon.
- Worked seamlessly with international teams across multiple countries, fostering effective cross-cultural communication and teamwork.
- As a freelance Data Analyst, completed over 100 projects for clients worldwide, utilizing SQL, Python, Excel, Power BI, and QuickSight to deliver tailored data insights and visualizations.
- Effectively communicated complex data findings to non-technical stakeholders, translating data into actionable insights to facilitate informed decision-making.
Employment history
- Launched four significant projects, increasing productivity by 50% and improving quality by 20%
- Handled data analysis within compliance operations using SQL, NumPy, and Pandas
- Implemented ETL processes to streamline data integration and transformation
- Used Git for version control and collaboration, ensuring effective data management
- Created Excel macros to enhance data processing capabilities
- Developed multiple JavaScript scripts, resulting in a 5-hour weekly productivity gain for global program reviewers
- Conducted interviews for over 10 candidates, contributing to team growth and reinforcement
- Created four Chrome extensions, saving 20% weekly time on routine tasks and reducing quality errors by 40%
- Collaborated with international teams from Poland, Germany, Romania, Turkey, India, China, Costa Rica, and the USA
- Completed over 100 successful projects for 50+ clients across 20 countries
- Utilized SQL, Python, Excel, Power BI, and QuickSight for data-driven solutions and reporting
- Used Git for version control to collaborate effectively on projects
- Developed JavaScript-based scripts to automate repetitive tasks and enhance productivity
- Adapted to unique data challenges and delivered tailored data insights and visualizations
- Communicated complex data findings to non-technical stakeholders
- Identified key trends, patterns, and opportunities within large datasets
- Maintained a high client satisfaction rate and received positive feedback
- Managed multiple projects simultaneously, showcasing strong organizational skills
- Kept abreast of industry trends and best practices in data analysis
Education history
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