Responsibilities 

Utilize various techniques such as data collection, analytics, data visualization and work with vast amounts of data to produce pertinent insights that enable data-driven solutions for business.  

Create reports and visualizations, generate insights and recommendations as part of deliverables required by stakeholders such as product owners and senior management 

Effectively communicate the technical background, potential, and importance of the solutions in order to generate an appreciation of the work done; understand the needs of the stakeholders  

Readiness to conduct research and condense knowledge on relevant literature to map and direct the paths towards business solutions 

Ensure data handled are within data policies, standards and regulations in terms of compliance 

Be able to manage stakeholders’ expectations in terms of timelines and deliverables 

Qualifications 

Proficiency in Data Analytics techniques (e.g. data collection, data wrangling, data cleaning, EDA, etc.) 

Proficiency in python and its Data Science, Machine Learning suite of libraries (e.g. Scikit Learn, Pandas, Matplotlib, etc.) is a plus 

Proficiency in SQL and analytical tooling such as SAS (or similar) is preferred 

Proficiency in visualization tools such as PowerBI, Tableau is preferred 

Proficiency in usage of different data platforms such as RDBMS, Data Warehouse and Data Lakes is a plus 

Experience in working and coordinating remotely 

Strong problem solving and solutions engineering mindset 

Strong analytical and organizational skills  

Preferably a degree in the related fields of Mathematics, Statistics, Computer Science