Data Analyst

Data Analyst Jobs Calgary, We are looking to hire a data analyst to join our data team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues.

To do well in this role you need a very fine eye for detail, experience as a data analyst, and a deep understanding of the popular data analysis tools and databases. A data analyst collects and stores data on sales numbers, market research, and logistics.

Linguistics, or other behaviors. They bring technical expertise to ensure the quality and accuracy of that data, then process, design, and present it in ways to help people, businesses, and organizations make better decisions.

Job Details

Hiring Organization PBS Systems
Post Name Data Analyst 
Qualification B.Tech/BE
Industry Private
Employment Type Full Time
Work Hours 8 Hours
Salary CAD 35 To CAD 38 Per Hour
Location Calgary, Alberta, Canada T2Z 5G6

About Organization

PBS Systems is a Dealership Management Software company based out of Calgary, Alberta. For over years, we have been providing accurate, reliable dealership software, services, and support to dealership customers.
This has propelled us to become the largest Canadian dealership vendor as well as one of the top three in North America. PBS has not only increased its operations in Iowa, Texas, Alabama, and Milton, we now proudly do business in both French and English.
Our mission is to deliver leading-edge technology solutions that will exceed our customers’ expectations. We continue to strive as a leader in DMS technology and set our sights high in a constantly evolving industry.

Responsibilities

  • Managing master data, including creation, updates, and deletion.
  • Managing users and user roles.
  • Provide quality assurance of imported data, working with quality assurance analysts if necessary.
  • Commissioning and decommissioning of data sets.
  • Processing confidential data and information according to guidelines.
  • Helping develop reports and analyses.

Skills & Requirements

  • Demonstrated experience in handling large data sets and relational databases.
  • Understanding of addressing and metadata standards.
  • High-level written and verbal communication skills.
  • SQL. Structured Query Language, or SQL, is the standard language used to communicate with databases. 
  • Statistical programming. 
  • Machine learning. 
  • Probability and statistics. 

Benefits

  • Personalize the customer experience. 
  • Inform business decision-making. 
  • Streamline operations. 
  • Mitigate risk and handle setbacks. 
  • Enhance security.

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