Data Analyst

About the Team

The Omni Analytics team delivers analytical support for a variety of retail technology and commerce products including payments, order fulfillment, and inventory systems across retail stores. Collaborating closely with product owners and business stakeholders, the team generates data-driven insights through reports, analytics, and strategic advice. Their responsibilities include data integration, creating and implementing reporting solutions, analyzing sales and inventory performance, labour planning, and continual program assessment to foster ongoing improvements and long-term strategic business growth.

Key Responsibilities

• Assist the Retail Omni Intelligence unit in launching new technology projects via reporting, ad hoc data analysis, and exploratory data work.
• Create and sustain SQL queries, Power BI data models and dashboards, along with Excel-based reporting tools.
• Establish and monitor KPIs and compliance metrics to evaluate the success of programs.
• Work with business stakeholders to convert complex operational workflows into measurable and understandable business outcomes.
• Develop user-friendly, impactful dashboards that effectively convey stories and facilitate informed decision-making for product owners and cross-functional teams.
• Examine data to detect trends, uncover business improvement opportunities, and assess project effectiveness after deployment.
• Deliver actionable recommendations and insights that enhance strategic decisions and operational efficiency.

Qualifications

• Minimum one year experience in Data Analytics, Business Intelligence, or a related discipline.
• Skilled in data transformation, modeling, reporting, and best practices for visualization.
• Proficient in SQL, Microsoft Power BI, and Excel.
• Strong analytical problem-solving aptitude to convert complex datasets into clear business insights.
• Excellent communication and storytelling skills to effectively share results with technical and non-technical teams alike.
• Highly motivated, with capability to lead analytics projects while balancing diverse stakeholder expectations and priorities.
• Background in retail operations, RFID, or inventory management is an advantage.