Database Analyst

Responsibilities of the Candidate: • Collect, clean, validate, and analyze data from multiple sources. • Write and optimize SQL queries to extract, transform, and manipulate data from relational databases. • Perform statistical analysis using IBM SPSS, including regression analysis, hypothesis testing, ANOVA, clustering, and forecasting. • Use Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn for data cleaning, exploratory data analysis (EDA), automation, and visualization. • Develop dashboards, reports, and performance metrics for business stakeholders. • Identify trends, patterns, anomalies, and actionable insights from large datasets. • Collaborate with business teams to understand reporting and analytical requirements. • Present findings and recommendations through reports, visualizations, and presentations. • Ensure data quality, accuracy, and integrity across reporting processes. Requirements: • Strong SQL skills, including Joins, Subqueries, CTEs, Window Functions, and Aggregations. • Knowledge of IBM SPSS for statistical analysis and modeling. • Proficiency in Python, particularly Pandas, NumPy, Matplotlib, and Seaborn. • Good understanding of statistics, data analysis, and data visualization. • Knowledge of Excel and BI tools such as Power BI or Tableau is an advantage. • Strong analytical, problem-solving, and communication skills. • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, Economics, Engineering, or a related field. • Relevant certifications in Data Analytics, SQL, Python, or SPSS are a plus.