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Data Analyst

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Job Order #: 5809051

Employer Name:
TinyEYE Technologies Corporation
Posted Date:
08-Jul-2021
Location:
SASKATOON
 
# of Positions:
1
Employment Terms:
Full Time
Education:
University Bachelor's Degree
Experience:
3-5 Years
Apply By:
30-Aug-2021
How to Apply?:
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Employer Name:
TinyEYE Technologies Corporation

Contact Name:
Brandy Kormos

Contact Email:
brandy.kormos@tinyeye.com



Description

We are looking for an enthusiastic Data Analyst to join the TinyEYE Tech Team! Your goal will be to determine critical data points, help design and build our analytics system and draw insights to help make data-driven decisions. You will be responsible for developing creative dashboards and visualizations that will provide decision support capabilities to the business. In this role, you will have technical knowledge of data lake and data warehouse concepts, theories, and disparate data and demonstrated proven experience in report creation and insight extraction.

Our Company  

TinyEYE Therapy Services originated from a single wish: to eliminate barriersfor students who needed regular and reliable delivery of educational special services.Sothat iswhat we did!We developed the world's first customer-designedTeletherapy software platform,weve been serving childrenacross North Americafor the past 15 years.Our team of exceptional service providers connectswith students to grow smiles, mendspirits,and engage children in their lives.  

What Youll Do:
- Identify and incorporate critical data points.
- Design our data warehouse and data lake, and partner with the Engineering team for implementing them.
- Create dashboards and visual representations to communicate critical data trends.
- Generate manual reporting when required.
- Work as a part of the Product Team to ensure data-driven product development.

Requirements:
- An undergraduate degree or certificate in a related field.
- Two to four years of related experience is required.
- Prior knowledge and experience in a Data Analyst role or equivalent DBA-related experience, with - knowledge of data warehousing.
- Familiarity with SQL is required.


Bonus if you have:
- Experience designing data warehouses considered an asset.
- Experience with designing data lakes is considered an asset.
- Experience with AWS services about data management is considered an asset.

 

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