· 2–3 years of experience in statistical or analytical project work, and/or experience in the financial services, telecommunications, retail, technology, or consulting sectors.
· Degree or equivalent in a related field such as computer science, data science, statistics, mathematics, or information technology, physics.
· Highly PC literate with thorough knowledge of statistical:
· Strong proficiency in Python for data analysis, advanced analytics and automation: Python with Pandas, Numpy and Machine Learning Packages and IT packages. PySpark, TensorFlow or PyTorch is an a plus
· Knowledge of R, SQL, and SQL Server is highly valued as an additional asset
· Experience with cloud-based data platforms (e.g., Databricks, Cloudera, and Snowflake)
· knowledge of Power BI for creating interactive dashboards
· Understanding of statistical techniques which may be used to address client business issues
· An innovative and inquisitive mind, focused on addressing and solving data and analysis problems
· Fluency in written and spoken English