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Data Analyst, Enterprise Division

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Job Order #: 5674883

Employer Name:
Vendasta Technologies Inc.
Posted Date:
19-Mar-2019
Location:
SASKATOON
 
# of Positions:
1
Employment Terms:
Full Time
Education:
University Bachelor's Degree
Experience:
3-5 Years
Apply By:
29-Apr-2019
How to Apply?:
This job is no longer taking applications

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Employer Name:
Vendasta Technologies Inc.

Contact Name:
Celine Martin

Contact Email:
cmartin@vendasta.com

Employer Website:
https://www.vendasta.com/



Description

As a Data Analyst at Vendasta you will ask questions and discover the answers.  For the Existing Enterprise division, you will be responsible for building and maintaining a variety of data channels required for monitoring business intelligence, success metrics, and user behaviour.

You will report directly to the individuals prioritizing your work and will leverage the interdepartmental analyst group to review, develop, and share information and analyses. The Data Analyst will be articulate, analytical, and a team player who understands the power of data. The Analyst must enjoy coordinating with interdisciplinary teams, learn quickly, and be comfortable working independently.

Responsibilities
Respond to ad hoc requests from various stakeholders, prioritizing tasks based on business value and urgency
Build and interpret internal dashboards and data, analyze results, and provide ongoing reporting
Provide prompt reports on monthly, quarterly, and yearly results for the division
Acquire data from a variety of sources to monitor business intelligence, analyze trends, and assess user behaviour
Assist with the generation of key SaaS metrics required to gain visibility into business performance
Monitor, maintain, and leverage Vendasta KPI databases to surface timely business intelligence
Assist with data gathering strategies that align with company goals
Push requirements to Vendasta Business Intelligence teams to leverage their tech/strategy
Coordinate with management to prioritize business and information needs
Develop and implement databases and other systems that optimize statistical efficiency and quality
Coordinate with internal teams to ensure that required quantitative data is accessible, reliable, and maintainable
Assist product teams with the interpretation of quantitative data to aid in decision making and strategic planning

 

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