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Information Technologist Data Analytics Specialist

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Job Order #: 5667503

Employer Name:
Weyburn Credit Union Limited
Posted Date:
# of Positions:
Employment Terms:
Full Time
Length of Employment:
Completed at least some post-secondary
1-2 Years
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Employer Name:
Weyburn Credit Union Limited

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Employer Website:


Weyburn Credit Union (WCU) is a member owned and democratically ran financial institution with over 9,000 members and $750 million in assets under our administration.  We have over 85 staff members and operate in the communities of Weyburn, Lang and Yellow Grass.  We are known as an employer of choice and work hard to provide our team members with a positive work environment, opportunities for advancement and above market compensation package.

The City of Weyburn was recently named the best place to live in the Prairies.  Weyburn has the best of both worlds by offering small town charm with big city amenities.  As part of WCUs vision, we are dedicated to helping our people be their best and making a positive impact in our communities. We do this by supporting community building events and causes, like Big Bike for Heart and Stroke, Big Brothers and Big Sisters, United Way, Relay For Life, Festival of Trees to name a few. We are principled, energetic, collaborative, experts, local and strong.

The Opportunity

WCU has an exciting and challenging career opportunity within our Technology department for a highly motivated IT professional.  The Information Technologist  Data Analytics Specialist will be reporting directly to the VP of Technology. The successful candidate will be responsible for the administration and support of all analytics and customer relations management platforms. The successful candidate will oversee all upgrades to those systems and communicate with all team members on how changes will impact their positions.


    Post-secondary diploma in a technology related field and 3 to 4 years of related work experience or a general undergraduate degree with 1  2 years related experience
    Experience with regression analysis, forecasting and predictive modelling.
    SQL experience would be considered an asset.

For more information please visit our careers page at


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