Job Title: Data Analyst+BA

Location: Canada (Remote)

JD:

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 behavior 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, modeling, 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.

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 analyzing large, complex datasets.
- Experience with Power BI, Tableau, or similar visualization platforms.
- Strong understanding of data modeling 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+BA (Canada)
🏢 Cyberobotix
📍 Canada