Data Analyst, Corporate Systems

Role Overview

The Data Analyst, Corporate Systems plays a critical role in developing, enhancing, and supporting key corporate systems, tools, and solutions.

What You Will Do

Provide technical expertise, investigate and resolve application functionality-related issues, provide user support, analyze and debug integration failures, aid business users, and perform integration testing.

Why It Might Be a Fit

The ideal candidate demonstrates strong technical depth alongside analytical and communication skills, with hands-on experience with data integration, APIs, and enterprise systems.

Requirements

• A minimum of a bachelor’s degree or equivalent experience in Computer Science, Business Analytics, Information Systems, or a related field.
• 2+ years of experience in business analysis, data analytics, systems integration, or a related technical role with demonstrated technical depth in integration and data engineering.
• Strong hands-on experience writing complex SQL and Snowflake queries.
• Strong understanding of ETL processes, data modeling concepts, batch job scheduling, and event-based integration patterns.
• Practical experience testing and validating APIs using tools such as Postman, Salesforce Workbench, or equivalent — including REST and SOAP endpoints.
• Ability to read, parse, and interpret JSON and XML data formats for integration analysis, troubleshooting, and documentation.
• Applied knowledge of the application development life cycle; experience with both Agile and Waterfall methodologies is a plus.
• Clear understanding of real-time, batch, and event-based integration patterns.
• Familiarity with scripting languages such as Python or Shell for automation, data processing, or ETL support is an asset.
• Experience handling high-severity (P1) customer-facing production issues, including triage, escalation, and resolution.
• Proven ability to manage multiple priorities and meet deadlines in a fast-paced environment.
• Strong communication skills with the ability to translate technical concepts for non-technical stakeholders.
• Adaptable and eager to learn new technologies and tools as the role evolves.

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• Paid time off
• Retirement plan
• Learning budget
• Parental leave
• Wellness programs

Tagged as: Data Analysis