Data Analyst Engineer
Montreal, Quebec, Canada
Valsoft Corporation
We are hiring for a Data Analyst Engineer at ValPay, our Payment Business, to join our growing team in Montreal!
The successful Data Analyst Engineer will interpret complex data to extract actionable insights, aiding our team in making informed decisions. The primary objective revolves around data visualizations, statistical analysis and leveraging tools to make sense of large datasets. You will also be tasked with helping to maintain our organization's data infrastructure, ensuring that our data is accessible, reliable, and optimized for our team to analyze, with a focus on data pipelines, big data technologies, and ensuring data integrity.
Here is a little window into our company: ValPay, the payment processing arm of Valsoft Corp, operates and manages Valsoft's global portfolio of wholly owned software companies, providing mission-critical integrated payment processing solutions across multiple verticals. By implementing industry best practices, ValPay delivers a time-sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.
Our motto is "Be Humble, Stay Hungry."
The successful candidate will be based anywhere within commutable distance of our office in Saint-Laurent, Montreal, working in a hybrid work model!
What your day will look like:
- Data Acquisition: Identify and payment datasets from various internal and external sources, ensuring data quality and compliance
- Data Cleansing: Cleanse and preprocess data to remove errors, inconsistencies, and duplicates, ensuring high data quality and reliability
- Data Transformation: Develop and implement data transformation pipelines to convert raw data into structured formats suitable for analysis and reporting frameworks
- Database Management: Manage data storage and retrieval systems, including databases, data warehouses, or data lakes
- Collaboration: Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver tailored solutions
- Documentation: Maintain clear and organized documentation of data pipelines, processes, and data sources
- Data Analytics: Generate insights, trends, and correlations from collected data
- Data Visualization: Generate dashboards and other interfaces to expose Analytics. Work with the development team to integrate these into merchant-facing products
About You:
- Bachelor's or Master's degree in Data Science, Information Technology, Computer Science or a similar related field
- Proven experience in data engineering, data visualization, using languages and frameworks from Python, R or other similar technologies
- Proficiency in data manipulation and transformation using ETL tools
- Strong SQL skills for data querying and manipulation
- Strong Knowledge of data storage solutions like databases (SQL, NoSQL), data lakes, and data warehouses
- Understanding of the basics of payment processing, including knowledge of payment gateways, credit card processing, and e-commerce, is a plus
- Excellent problem-solving skills, attention to detail and ability to work independently
- Ability to work independently and manage multiple tasks simultaneously in a fast-paced, always-evolving environment
- Strong communication and teamwork skills
- Detail-oriented with strong organizational skills
- Fluent in English, both written and verbal, is essential
- Legally authorized to work in Canada
For information about ValPay, please visit our website at: www.valpay.com
We thank all applicants for their interest; however, only those candidates selected for an interview will be contacted.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Computer Science Data Analytics Data pipelines Data quality Data visualization E-commerce Engineering ETL NoSQL Pipelines Python R SQL Statistics
Perks/benefits: Startup environment
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