Data Analyst - SQL/Python

Key Responsibilities :

• Design and develop analytical solutions for a wide range of business problems.
• Combine business knowledge with statistical techniques to generate actionable insights and recommendations.
• Perform data mining and analysis to identify consumer behavior patterns and trends.
• Work with diverse datasets to uncover meaningful business insights and support decision-making.
• Ensure all analytical deliverables meet client expectations in terms of scope, quality, accuracy, and timelines.

Essential Skills & Qualities :

• Strong proficiency in SQL for data analysis and manipulation.
• Experience with data visualization tools such as Power BI and Tableau.
• Practical experience applying Data Science concepts to solve business problems.
• Experience using Python and R for data analysis and statistical modeling is an added advantage.
• Ability to work with diverse structured and unstructured datasets.
• Familiarity with Big Data frameworks such as Hadoop and Spark is beneficial.
• Good working knowledge of Microsoft Excel and PowerPoint.
• Strong analytical and problem-solving skills, with the ability to break down complex problems into manageable components.
• Ability to manage multiple tasks simultaneously and prioritize effectively in a fast-paced environment.
• Strong attention to detail and ability to deliver high-quality outputs within tight deadlines.

Qualifications :

• Bachelor's or Master's degree in a quantitative field such as Engineering, Statistics, Mathematics, Economics, or a related discipline.
• Minimum 3 years of relevant analytics experience.