Senior Data Analyst – Databricks Genie / AI Analytics. Canada (Remote) JD: Required Qualifications
• Bachelor's degree in Computer Science, Information Systems, Statistics, Mathematics, Engineering, Analytics, or related field.
• 4+ years of experience in Data Analytics, Business Intelligence, or Decision Support.
• Expert-level SQL skills, including:
• Complex joins
• Window functions
• Common Table Expressions (CTEs)
• Query optimization
• Data validation
• Strong experience analysing large, complex datasets.
• Experience with Power BI, Tableau, or similar visualization platforms.
• Strong understanding of data modelling and relational databases.
• Excellent written and verbal English communication skills. Demonstrated ability to independently manage competing priorities. Preferred Qualifications
• Experience using Databricks, Spark SQL, Delta Lake, or Lakehouse architecture.
• Experience working with cloud data platforms (Azure preferred).
• Knowledge of Python or PySpark for advanced analytics.
• Hands-on experience with AI-assisted or conversational analytics platforms (e.g., Databricks Genie/AI/BI, Genie Agents, Microsoft Copilot), including configuration, testing, administration, or enablement.
• Understanding of semantic layers, governed metrics, business definitions, and metadata used to support trusted self-service analytics.
• Experience testing conversational analytics outputs and reconciling generated answers to source data or independently developed SQL.
• Experience with event-based analytics platforms such as Amplitude or Google Analytics.
• Exposure to customer, digital commerce, or loyalty analytics. Data analyst
• Perform ad hoc analysis across operational, financial, customer, loyalty, digital, marketing, and restaurant datasets.
• Independently investigate business questions by exploring data rather than waiting for predefined requirements.
• Identify trends, anomalies, opportunities,



and root causes through deep analytical investigation.
• Develop hypotheses and validate them using data-driven methodologies. Data Correlation & Insight Generation
• Correlate data across multiple enterprise systems to uncover relationships that are not immediately apparent.
• Connect digital customer behaviour with restaurant operations, promotions, loyalty, sales, and financial performance.
• Identify leading indicators and hidden drivers impacting key business metrics.
• Build meaningful analytical narratives that move beyond reporting into actionable business recommendations. Storytelling with Data
• Translate complex analytical findings into concise, compelling business stories.
• Present insights through executive-ready visualizations, dashboards, and presentations.
• Clearly explain not only what happened, but also:
• Why it happened
• What is driving the results
• Business impact
• Recommended actions
• Tailor communication for both technical and non-technical stakeholders. Databricks Genie & Agent Enablement
• Escalate data quality, modelling, access, or platform issues to the appropriate engineering or platform teams while maintaining ownership of the business question through resolution.
• Document validated questions, known limitations, business definitions, and usage guidance to improve adoption and trust.
• Partner with functional teams to determine whether a question should be answered through Genie, direct ad hoc analysis, an existing BI product, or a recent reusable analytical capability.
• Monitor common questions, failed or low-quality responses,



and user feedback; troubleshoot issues and recommend improvements to data, semantic definitions, instructions, or model configuration.
• Test and validate Genie responses against source data and independently written SQL to confirm accuracy, consistency, and business interpretation before broader enablement.
• Configure and refine Genie instructions, example questions, trusted data assets, metric definitions, business terminology, synonyms, and other contextual guidance needed to improve response quality.
• Translate recurring ad hoc questions and analytical patterns into candidate Genie use cases, helping move repeatable analysis from manual support to governed self-service.
• Support the administration and ongoing configuration of Databricks Genie spaces and related Genie Agent capabilities for approved business domains. Cross-Functional Partnership
• Partner daily with onshore Product, Engineering, Digital, Marketing, Operations, Finance, and Analytics teams.
• Participate in backlog grooming, planning sessions, analytical workshops, and business reviews.
• Build strong working relationships while serving as a trusted analytical partner.
• Proactively clarify ambiguous requirements and recommend analytical approaches. Self-Sufficient Work Management
• Independently manage multiple concurrent analytical workstreams.
• Prioritize requests based on business value and urgency.
• Maintain consistent communication with onshore stakeholders regarding progress, risks, and findings.
• Identify opportunities for proactive analysis without waiting for assigned work.
• Demonstrate ownership from problem definition through delivery of business recommendations. Continuous Improvement
• Recommend improvements to data quality, analytical processes, and reporting methodologies.
• Identify opportunities for automation and reusable analytical assets.
• Contribute to the evolution of enterprise analytics best practices.

📌 Senior Data Analyst – Databricks Genie (Canada)
🏢 Cyberobotix
📍 Canada