• Work with stakeholders throughout the organisation to leverage data and analytics in driving business growth and answering business question.


• Liaise with data engineering , Product , and business stakeholders to asses the requirements and quality of current and new data sources.


• Develop extensive descriptive and statistical analysis of various aspects of the business to help better understand users behaviours across different business verticals.


• Develop predictive models that help drive overall business growth and optimise customer experience and asses their business impact.


• Perform Experimentation ( A/B testing ) on different customer touch-points and asses the business viability of introducing different changes.


• Develop processes and tools to monitor and analyse model performance and data accuracy.

Who you are!!

• Bachelor's degree or equivalent in Computer Science , Computer Engineering or relevant fields.


• 4+ years of relevant work experience working in a data role.


• Strong problem solving skills and a go getter attitude that can grasp new concepts easily.


• Experience using statistical computer languages (Python,Spark, SQL) to manipulate data and draw insights from large data sets.


• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.


• Strong knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and their applications.


• Excellent written and verbal communication skills for coordinating across teams.


• A drive to learn and master new technologies and techniques.


• Experience in using at least one of the database engines (MySQL, Microsoft SQL Server, PostgreSQL, PrestoDB, Mongo NoSQL, etc..).


• Experience in data analytics stack libraries such as pandas,numpy, scipy, scikit-learn, and matplotlib in Python, or caret,dplyr, and ggplot in R.