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

We are seeking a highly skilled and analytical Data Analyst with a strong background in informatics and systems. The ideal candidate will be adept at managing large datasets, analyzing data to extract meaningful insights, and developing systems to improve our data-driven decision-making processes. This role requires a blend of technical prowess, business acumen, and excellent communication skills

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.