Data Analyst - Mississauga, Canada - Snaplii

Snaplii
Snaplii
Verified Company
Mississauga, Canada

1 week ago

Sophia Lee

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Sophia Lee

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Description

About Snaplii


Snaplii is a leading Digital Wallet platform that has redefined the way Users and Merchants engage for more efficient communication.

Our platform offers value-added features, including secure credit card payments, a curated list of favorite merchants, cash-back card options, data-driven marketing solutions, and a thriving gift card business.

These offerings allow us to deliver the best in-store and online shopping experience to Users and empower Merchants with a higher level of brand loyalty.

As we expand our operations and introduce new functionalities, Snaplii aims to become the go-to digital wallet for people across North America.


About the Role

You Will:


  • Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
  • Interpret data, analyze results using statistical techniques, and provide ongoing reports.
  • Identify, analyze, and interpret trends or patterns in complex data sets.
  • Work closely with management to prioritize business and information needs.
  • Locate and define new process improvement opportunities.
  • Design and create data reports and reporting tools to help business executives in their decisionmaking process.
  • Collaborate with engineering and product development teams to improve product and data systems.
  • Ensure adherence to data privacy laws and policies.

Required Qualifications and Skills:


  • Bachelor's degree in Informatics, Computer Science, Statistics, or a related field.
  • Proven working experience as a Data Analyst or Business Data Analyst.
  • Technical expertise regarding data models, database design development, data mining, and segmentation techniques.
  • Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc.), programming (XML, Javascript, or ETL frameworks).
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc.).
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Adept at queries, report writing, and presenting findings.
  • Excellent verbal and written communication skills.

Preferred Skills:


  • Experience with data visualization tools (Tableau, Power BI).
  • Knowledge in machine learning and predictive modeling is a plus.
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