Entry Level Data Analyst | 1 YOE | SQL, Python, & Power BI

MOD COMMENT:

The experience is good, but please follow the format in the guide linked at the top of this page. You need to also demonstrate measurable impact, as we explain in that document. Instead of just stating what you can do, explain how it affected business outcomes with real metrics where possible.

Result-driven and detail-oriented Data Analyst with over 1 year of experience transforming complex data into actionable business insights. Proven track record of delivering measurable results, including a 30% increase in customer engagement and a 45% boost in customer satisfaction through in-depth analysis of user journeys and targeted product optimization recommendations.

Proficient in:

• SQL (MySQL, MS SQL Server)
• NoSQL (MongoDB)
• Python for data extraction, cleaning, statistical analysis, and predictive modeling using libraries such as Pandas, NumPy, SciPy, Scikit-learn.
• Skilled in data visualization with tools like Power BI (DAX, Power Query, and Power Apps) and Python advanced visualization libraries such as Plotly, Matplotlib, Seaborn, and Bokeh.
• Experienced in web-scraping with BeautifulSoup and Requests.

Advanced user of MS Excel for advanced and complex data analysis and transformation. Expertise in database design, schema modeling (Star schema, Snowflake schema, 3NF), and data warehousing using Google BigQuery, Amazon Redshift data warehouse, and Snowflake DB. Hands-on experience with ETL frameworks and data pipeline orchestration using Apache Airflow, PySpark, and Kafka.

Fluent in English (oral and writing) with excellent communication and collaboration abilities, delivering high-accuracy results through strong attention to detail, logical reasoning, and analytical thinking. Adept at working across cross-functional teams including product managers, designers, and stakeholders. Skilled in using Metabase for querying, reporting, and building dashboards that support real-time, data-driven decision-making.

Familiar with Agile methodologies (Scrum, Kanban), SDLC, gap analysis, requirements gathering, and technical documentation. Strong understanding and Experienced in cloud computing services including data extraction, building data pipelines, data cleaning and analysis, data exploration and visualization with MS Azure and AWS for scalable data storage and analytics solutions. Highly adaptable, logical, and committed to continuous learning and driving data-informed strategies to improve product and business performance.