Senior Data Analyst Measurement Triangle Retail Media

Description

Are you looking for a career-defining opportunity to work for one of the fastest-growing Retail Media Networks in Canada? You’ve arrived at just the right place! At Triangle Retail Media (TRM) we put the customer first in everything we do. We use data-driven insights about customer preferences, behaviour, purchase trends, and media consumption to deliver highly-effective, customized marketing solutions for brand marketers and media agencies alike.

At the core of our Retail Media offering is the Triangle Loyalty program, which boasts over 11 million active members, allowing us to deeply understand our customers, personalize our strategies, and measure the impact of paid advertising on brand metrics and sales across all of Canadian Tire Corporation’s retail banners. We are looking for high-achievers with a builder's mindset – individuals who can support the business in multiple areas, be mentally flexible and take pride in creating new process and solutions in an agile, entrepreneurial, exciting environment.

What You'll Do

Triangle Retail Media is seeking a dynamic and detail-oriented Senior Data Analyst, Measurement to join our Analytics team. This role involves building and maintaining digital advertising campaign & audience reporting ETLs, providing brand sales analytics, and delivering insightful reports. The ideal candidate will demonstrate exceptional analytical skills and a strong aptitude for clear communication and effective collaboration with both team members and leadership.
 

• Execute and maintain ETLs for digital advertising reporting to ensure accurate and timely data availability.
• Perform in-depth brand and audience analytics to uncover actionable insights that drive business decisions.
• Collaborate with cross-functional teams to integrate data solutions into business processes.
• Communicate complex data findings clearly and concisely to both technical and non-technical stakeholders.
• Conduct advanced data analysis using SQL, Python (Pandas and NumPy), and advanced Excel (including VBA and advanced formulas).
• Efficiently manage and analyze large datasets using Google Cloud tools such as BigQuery, Vertex AI, and Google Cloud Storage.
• Create compelling and visually appealing reports and dashboards using GA4, PowerBI, and DOMO.
• Distill large sets of data into clear, actionable insights to assist Sales and Account Management teams in strengthening their pitches to vendors/clients.
• Provide detailed insights on TRM media campaign performance to help improve advertising investments.
   

What You Bring

• Post-secondary education in statistics, mathematics, analytics, or a related quantitative discipline. A Master's degree in data analytics, mathematics, or statistics is a plus.
• 3+ years of experience in data science, analytics and/or measurement within retail media, digital media, marketing or advertising.
• Proficiency in Python (including NumPy and Pandas), SQL, and advanced Excel (including VBA and advanced formulas).
• Hands-on experience with BigQuery and data visualization tools such as Looker, PowerBI, DOMO, or Tableau. Certifications in Google Cloud or AWS are a plus.
• Strong communication and presentation skills
• Exceptional team player that can work cross-functionally to achieve the outcomes of the role
   

Why Join Us?

• Opportunity to work at the cutting edge of retail media advertising technology.
• Collaborate with a dynamic team of professionals dedicated to innovation and excellence.
• Competitive salary package with comprehensive benefits.
• Career growth opportunities within a rapidly expanding organization.
   

If you are passionate about transforming retail media advertising through innovative applications data science to Canada’s largest 1st party dataset and have the expertise to drive success in this field, we invite you to apply for this exciting opportunity at Triangle Retail Media.

Located at the vibrant Yonge & Eglinton campus in mid-town Toronto, this role requires a 4-day in-office commitment.

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