Data Analyst - Edmonton, Canada - CGI

CGI

Verified Company

Edmonton, Canada

2 weeks ago

Posted by:

Sophia Lee

beBee Recruiter

Description

Are you ready to join an outstanding culture that cares about diversity and inclusion, corporate social responsibility and gives the freedom to innovate, influence decisions, and chart an exciting career?

CGI is more than just an IT consulting company; be part of a team that supports the local community with the ability draw on global best-in-class talent.

CGI is looking for a Data Analyst for its expanding team to assist our clients with their analytics journey.

Benefits include a share purchase program, profit sharing, wellness credits, training and development programs, and flexible work schedules and locations.

Insights you can act on

While technology is at the heart of our clients' digital transformation, we understand that people are at the heart of business success.

When you join CGI, you become a trusted advisor, collaborating with colleagues and clients to bring forward actionable insights that deliver meaningful and sustainable outcomes.

We call our employees "members" because they are CGI shareholders and owners and owners who enjoy working and growing together to build a company we are proud of.

This has been our Dream since 1976, and it has brought us to where we are today — one of the world's largest independent providers of IT and business consulting services.

At CGI, we recognize the richness that diversity brings. We strive to create a work culture where all belong and collaborate with clients in building more inclusive communities. As an equal-opportunity employer, we want to empower all our members to succeed and grow. If you require an accommodation at any point during the recruitment process, please let us know. We will be happy to assist.

Ready to become part of our success story? Join CGI — where your ideas and actions make a difference.
Your future duties and responsibilities

Solve some of the most challenging and impactful problems using your data expertise, and ability to communicate compelling insight through data visualizations, reports and dashboards
Help create the platform, tools and APIs necessary to enable other teams to work with data
Efficiently handle vast amounts of data from multiple sources and destinations, including relational and NoSQL databases as well as external systems, both in batch processing and realtime delivery
Work on high priority initiatives using advanced analytics, predictive modeling and data from a variety of data sources to produce actionable business insights
Provide guidance to a customer and project team with respect to technical feasibility, complexity, and level of effort required to deliver a solution
Work closely with other team members to further develop metrics, KPIs, and insights that measure business performance improvements
Assist in the development and delivery of pre and post sales POCs, presentations and proposals for client engagements

Required qualifications to be successful in this role

Experience doing data analysis, reporting and advanced analytical modeling
Hands on experience in deploying reporting and analytical solutions to on premise and cloudbased infrastructure
Handson experience writing complex SQL queries and working with relational databases such as Oracle, DB2, SQL Server, etc.
Handson experience with data reporting and visualization tools like Power BI, Tableau, Qlik etc.
Experience with modern software development techniques and methodologies: DevOps, Agile, etc.
Knowledge and practice of secure software development processes

Attributes

Uptodate with the latest technology trends and have a strong desire to constantly learn
Highly detailedoriented with exceptional organizational and followthrough skills
Selfstarter and able to execute without a lot of direction or oversight demonstrable problemsolving skills
Value teamwork and urgency, with a passion for driving impact
Ability to handle multiple priorities and deadlines
Exceptional communication skills, with an ability to make technical concepts accessible and understandable to nontechnical business users
Analytical curiosity, strong dataoriented skills and a statistical programming background

Education

Bachelor's degree in mathematics, business, statistics, economics, computer science or information systems (or equivalent combination of skill and experience)

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