Data Analyst (GCP)

The Data Analyst will play a key role at Stacktics Inc. and will be required to help create and maintain industry-leading quality and efficiency in service and data analytics delivery.

• →Maintain and exceed client satisfaction with Stacktics’ deliverables, day-to-day work, and overall value as a partner.
• →Cultivate opportunities for company growth and seek areas where Stacktics’ role could be expanded.
• →Adapt to ever-changing client needs and expectations.
• →Maintain dedication toward achieving excellence in delivering client solutions and overall organizational success.
• →Be an enthusiastic, positive, and collaborative teammate and mentor who is always eager to learn.
• →Stay up-to-date on relevant technologies, engage with user groups, and understand trends to ensure we are using the best possible techniques and tools.

• 4+ years of experience in data analytics, with a proven track record of driving measurable impact.
• 3+ years of experience using Python; experience in other programming languages will also be considered.
• 3+ years of experience using SQL, with a strong ability to write large, dynamic analytical queries.
• Experience with data visualization tools; Looker and LookML experience is a must.
• Strong foundation in data engineering, data governance, and business intelligence best practices.
• Experience working on a cloud platform (GCP preferred).
• Deep understanding of marketing analytics platforms (GTM, GA4, GA360) and their implementation is a strong asset..
• Interest in developing machine learning skill sets; basic knowledge and understanding of machine learning concepts is a plus.
• Knowledge or experience in data engineering is highly desirable.
• Familiarity with large-scale OLAP databases and data warehouses; strong understanding of Google Cloud BigQuery is preferred.
• Technical understanding of marketing concepts such as cookie-based data collection, audience segmentation, attribution modelling, A/B testing, and marketing KPI calculations is a plus.
• Proven track record in uncovering insights through data exploration, pattern recognition, and advanced analytics techniques.
• Develop creative and practical data-driven solutions by leveraging statistical analysis and predictive modeling to address business challenges. Clearly articulate findings and approaches to both technical teams and business stakeholders.
• Skilled in applying machine learning algorithms, forecasting methods, optimization strategies, or natural language processing to real-world use cases.
• Driven by curiosity and a problem-solving mindset, with the ability to apply the right tools and techniques to a variety of analytical scenarios.

• Flexible Remote Working Policy (within Canada)
• 100% employer-paid benefits package
• Regular Lunch and Learns from your Team Mates
• Standing desks
• Fully-loaded kitchen: snacks/fruit/drinks
• Fun Employee Events and Activities
• Participation in Community Engagement
• Quarterly CEO coffee breaks