IBM Data Analyst in SAINT JOHN, New Brunswick

Since receiving the Randstad Award for Canada's Most Attractive Employer (ranked #1 in 2015), IBM is expanding its New Brunswick footprint by growing its IT Services Centre. Through partnership and collaboration, IBM is planting the economic development seeds to help transition New Brunswick into a knowledge worker economy that can positively tackle challenges for the benefit of all Canadians and organizations around the world. Will you join us? As an IBMer, you can change the way the world works. Join IBM and be part of a diverse and global team of thinkers and doers—people who want to make an impact, cultivate their expertise and collaborate with some of the world’s top business and technology professionals. Network in an open, friendly and flexible work environment where diversity is embraced and new, creative ways of thinking are encouraged and supported. There is no better place to launch or further your career. The data scientist will interface with the GTS Canada sector accounts to: 1) identify key data components to be included within the analysis; 2) design & development of the dataset (includes normalizing data, data scrubbing, joining datasets, building business logic within the dataset, automation of data maintenance); 3) design and creation of visual dashboards within IBM Watson Analytics (working with the accounts to customize the dashboard to meet their requirements); 4) perform on-going analytics based on the datasets / dashboards - communicating to the accounts (and clients) drivers for continual improvement; and 5) where required build and maintain automation modules related to data management.APCCA

'- Excellent oral and written communication skills.- Ability to interface with all levels of management (both IBM internal & client facing).- Ability to work well independently and in a team based environment with local, global, and remote team members.- Extensive Excel Skills (Includes: formulas & macro development) - Data Science Knowledge - IT Operational Process Knowledge (for example: Incident, Problem, Change Processes)

Domestic Delivery