Data Analyst

Role & responsibilities : Collect, analyze, and interpret complex data sets using Python and SQL to support business objectives. Collaborate with stakeholders to understand business needs, formulate analytic solutions, and provide actionable insights. Develop and maintain data models and reports to track key performance indicators (KPIs) and business metrics. Create meaningful data visualizations to communicate findings, trends, and actionable insights to non-technical stakeholders. Conduct exploratory data analysis and identify patterns, trends, and opportunities for business improvement. Support data quality initiatives, ensuring accuracy and consistency across data sources. Utilize statistical and quantitative techniques to support problem-solving and business optimization efforts. Preferred candidate profile Python: Proficiency in data manipulation, data analysis libraries (Pandas, NumPy),and data visualization libraries (Matplotlib, Seaborn). SQL: Strong command of SQL for data extraction, transformation, and complex queries. Business Acumen: Ability to understand business context and objectives, aligning analytics with organizational goals. Quantitative Aptitude: Strong analytical and problem-solving skills, with a keen attention to detail. Data Visualization: Basic skills in data visualization to effectively communicate insights. Statistical Analysis: Foundational understanding of statistical methods (e.g., regression, hypothesis testing). Communication Skills: Ability to distill complex data insights into clear,actionable recommendations for stakeholders.