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.