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The Data Analyst is accountable for extracting, processing, and analyzing large volumes of structured and unstructured data from diverse sources. This involves writing complex SQL queries to extract, aggregate, and analyze the data, as well as utilizing Python for data manipulation, automation, and exploratory data analysis.
- Collecting, cleaning, and transforming datasets to ensure data quality and accuracy.
- Developing dashboards, reports, and visualizations to present insights to stakeholders.
- Collaborating with cross-functional teams to identify data requirements and KPIs.
- Strong expertise in SQL (query optimization, joins, CTEs, window functions).
- Hands-on experience in Python (Pandas, NumPy, Matplotlib/Seaborn for analysis & visualization).
- Experience working with relational databases (MySQL, PostgreSQL, SQL Server, etc.).
- Ability to translate business needs into technical requirements and analytical solutions.
- Knowledge of statistics and basic machine learning concepts.
- Experience with Business Intelligence tools (Power BI, Tableau, Looker, etc.).
