Job
Description
We are seeking a highly skilled and detail-oriented Data Analyst with 3 to 4 years of experience in data analysis, SQL, Python, and Business Intelligence (BI) tools. The ideal candidate will be responsible for extracting insights from data, creating visualizations, and supporting decision-making processes across the organization. Key Responsibilities: Analyze and interpret complex datasets to identify trends, patterns, and insights that drive business decisions. Write optimized SQL queries to extract, manipulate, and analyze data from relational databases. Utilize Python for data analysis, data cleansing, automation, and statistical modeling. Develop and maintain dashboards and reports using BI tools such as Power BI, Tableau, and Amazon QuickSight. Collaborate with stakeholders to gather requirements and translate business needs into data-driven solutions. Ensure data accuracy, integrity, and consistency across multiple data sources. Perform exploratory data analysis (EDA) to uncover insights and opportunities. Work closely with data engineering teams to improve data pipelines and reporting infrastructure. Present findings and insights to key stakeholders through visual storytelling and data presentations. Required Skills Qualifications: Bachelors degree in Computer Science, Information Systems, Statistics, Mathematics, or a related field. 3-4 years of hands-on experience in data analysis and business intelligence. Strong proficiency in SQL (query optimization, joins, CTEs, window functions, etc.). Expertise in Python for data manipulation (Pandas, NumPy), visualization (Matplotlib, Seaborn), and automation. Experience in developing interactive dashboards and reports using Power BI, Tableau, and Amazon QuickSight. Knowledge of data modeling, ETL processes, and data warehousing concepts. Strong analytical and problem-solving skills with the ability to translate business questions into data insights. Excellent communication and stakeholder management skills. Familiarity with cloud platforms like AWS, Azure, or GCP is a plus. Experience with statistical analysis and machine learning techniques is an advantage. Preferred Qualifications: Certification in SQL, Power BI, Tableau, or AWS is a plus. Experience working in an agile environment. Knowledge of scripting for automation and workflow improvements.
