Senior Data Analyst

• Utilize strong SQL and Python skills to extract, transform, and analyze large datasets, uncovering insights and trends
• Apply statistical methodologies to interpret data, conduct hypothesis testing, and provide actionable recommendations for business improvements
• Create clear and insightful visualizations using tools like Qliksense/Looker to effectively communicate findings to both technical and non-technical stakeholders
• Create graphical visualizations and KPI's for BI solutions as needed
• Understanding of role of statistical models and analytics in business decision-making
• Work closely with cross-functional teams to understand business requirements and translate them into data-driven solutions
• Ability to capture and analyze quantitative and qualitative data to draw inferences
• Employ advanced analytical techniques such as regression analysis, clustering, and predictive modeling to enhance data-driven decision-making
• Employ data mining techniques to discover hidden patterns and relationships within large datasets

• Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, or related discipline)
• Proven experience working with a strong focus on SQL, Python, and Machine Learning
• Proficiency in statistical analysis and the ability to derive meaningful insights from data
• Solid understanding of data visualization principles and experience with visualization tools( Any of the following : PowerBI/Tableau/Qliksense/Looker)
• Strong problem-solving skills and attention to detail
• Effective communication skills to convey complex findings to diverse audiences
• Ability to work independently and collaboratively in a fast-paced environment
• Familiarity with big data technologies (e.g., Hadoop, Spark, GCP BigQuery) to process and analyze vast amounts of data efficiently

Familiarity with Cloud Computing (GCP) , API development & Devops