Senior Data Analyst

You have a passion for data, a keen attention to detail and an analytical mindset. You are a problem-solver that enjoys working collaboratively to use data insight to drive business solutions. The job requires a resource with a strong focus on SQL, Python, and Machine Learning, AI , LLM Concepts

• 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 Cloud Computing (GCP) , API development & Devops is a plus.
• Familiarity with big data technologies (e.g., Hadoop, Spark, GCP BigQuery) to process and analyze vast amounts of data efficiently.