Senior Data Analyst

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:
● Bachelor's 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.