Data Analyst

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