Data Analyst

at  ING

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

• 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 deliverable