Data Analyst

2 weeks ago

Mississauga, Canada Snaplii Full time

**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 decision-making 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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