Data Performance Engineer

Who we are

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LIVE is one of the fastest-growing IT Services and Consulting companies in Canada and serves some of the most iconic brands, including Google, Loblaws, Staples, Telus, Bell, Rogers, CIBC, BMO, CMLS, Fossil, Fitbit and more.

Over the last decade, we have achieved 100% client retention and earned more than 20 notable industry recognition. This reflects our reliability in delivering what we promise and the quality we bring to every engagement.

Join our growth-driven culture and help us lead, innovate, and simplify. We are looking for a team members who embody our values:

• Empathetic – we listen, we understand, and are considerate of everyone
• Persevering – we don't give up on challenges or people and go all the way
• Inclusive – we value everyone and their perspectives
• Reliable – we deliver what we promise, and more
• Innovative – we make things better than they were yesterday

• Write and optimize SQL queries to extract, clean, and analyze credit card data for credit risk, marketing, fraud BUs etc.
• Assist in maintaining and improving database systems and data pipelines.
• Identify data inconsistencies and propose solutions to improve data quality.
• Collaborate with cross-functional teams to understand data needs and deliver actionable insights.
• Create reports and dashboards using tools like Power BI etc.
• Support ad-hoc analysis requests related to customer behaviour, product performance etc.
• Document processes and findings clearly for both technical and non-technical stakeholders.
• Tools:
  Adobe Audience Manager, Target, Experience Manager, Quantum Metrics.

• Proficient in designing and executing reporting, analysis, and data visualizations using diverse applications such as Tableau, Power BI, SPSS, Excel, and SQL Server Reporting Services.
• Fluent in programming languages to extract and manage data (e.g., SQL, Python, R) and analyze large datasets.
• Knowledge of data governance principles and best practices.
• Experience with data modelling and business analysis techniques.
• Exceptional analytical and problem‑solving abilities with meticulous attention to detail with an emphasis on accuracy.
• Knowledge of relational and dimensional databases, with an understanding of the flow of data throughout administrative systems.
• Write and optimize SQL queries to extract, clean, and analyze credit card data for credit risk, marketing, fraud BUs etc.
• Assist in maintaining and improving database systems and data pipelines.
• Identify data inconsistencies and propose solutions to improve data quality.
• Collaborate with cross‑functional teams to understand data needs and deliver actionable insights; create reports and dashboards using tools like Power BI etc.
• Support ad‑hoc analysis requests related to customer behavior, product performance etc.
• Document processes and findings clearly for both technical and non‑technical stakeholders.

• Bachelor's degree in computer science, Statistics, Mathematics, Economics, or a related field.
• Basic understanding of SQL and relational databases.
• Strong analytical and problem‑solving skills.
• Attention to detail and a passion for working with data.
• Good communication skills and ability to work in a team environment.
• Eagerness to learn and grow in the field of data analytics.
• Experience with Python or R for data analysis.
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Exposure to financial services or credit card data through coursework or projects.

• Purposeful Work: autonomy, resources, and time you need to do what matters for our clients and most importantly – you.
• Positive Environment: recognition coupled with a flexible environment that celebrates diversity, inclusivity and encourages everyone to achieve their best.
• Growth & Development: opportunities to grow professionally and personally through mentorship, training, and development programs.
• Transparency & Trust: direction, purpose, mission, and expectations are never a secret; you will always know where you stand as well as where you are going.
• Exclusive Perks: discounts on shopping, the gym, insurance, mobile phone plans, not to mention an office smoothie bar and enough coffee to make you vibrate.
• Meaningf…