SQL Data Analyst Resume Sample

Location

Poland

Rate

$38 / per hour

Years of experience

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, Python

Experience

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

Senior Compliance Associate, Amazon July 2021 - Present

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

Data Analyst, Self-Employed/Upwork January 2017 - Present

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

WSB Merito Gdańsk 2019 - 2022 Master of Science in IT Project Management

Azerbaijan State Oil and Industrial University 2016 - 2019 Bachelor of Science in Computer Science

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SQL Data Analyst Resume Sample

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