- Apply advanced statistical, econometric, optimization models and algorithms to real-world business problems.

- Develop new statistical models as well as provide analysis using existing models.

- Maintain the highest standards to follow the best practices and trending analytics.

- Work with internal business teams to understand problem statement, requirements and use cases.

- Excellent Problem Solving & Quantitative skills

- Hands on experience on Python/R/SAS.

- Experience in tools like Pyspark, SQL, Big Query.

- Ability to create a model & simulation tool from scratch.

- Should be comfortable interacting and managing stakeholders both external and internal.

- Should be good in project management and ensuring timelines and quality is met.

Requirements :

- Masters in Statistics, Marketing, Finance, Operations research, Engineering, or equivalent full-time education.

- 5 to 10 years of work experience on analytic work (use of advanced modelling projects and tools such as R, Python etc.).

- Knowledge of promotional channels and digital analytics.

- Should be inquisitive and have a learning mindset.

- Willingness and ability to experiment with new tools and techniques.

- Strong analytical skills, excellent communication skills and the ability to communicate actionable analytical findings.

- Familiarity with the application of analytics to sales, marketing, or managed markets problems.

- Ability and desire to work in a proactive, highly engaging, high-pressure, client service environment.

- Should have sound experience in data mining and data analysis.

- Strong conceptual & working knowledge of Statistical models.

- Ability to maintain personal composure and tactfully handle difficult situations.