Department
Data & Analytics
Employment Type
Full-Time
Minimum Experience
Experienced
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