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.