Senior Data Analyst

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We are seeking a highly skilled and detail-oriented Data Analyst with 4 to 7 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:

• Bachelor's degree in Computer Science, Information Systems, Statistics, Mathematics, or a related field.
• 3-7 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.