Senior Analytics Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Oversee the creation and upkeep of reusable, analysis-ready datasets tailored for reporting, dashboarding, and various analytical applications.

• Convert business inquiries into structured analytical methodologies, reporting specifications, data requirements, and output designs with minimal supervision.

• Examine structured data to uncover trends, anomalies, business drivers, and actionable insights.

• Take ownership of transformation logic and dashboard-ready data modeling to ensure precise and scalable analytics outputs.

• Design and sustain ingestion and business-logic-driven transformations utilizing Alteryx, Databricks SQL, PySpark, and related cloud data environments.

• Develop scalable ingestion pipelines through APIs and other connectors.

• Construct scalable analytical models that support Data Analysts, Data Scientists, AI Scientists, and business stakeholders.

• Conduct and enhance data validation, quality assurance, and logic review practices.

• Resolve issues related to modeling, transformation, semantics, and metric consistency.

• Document transformation logic, source dependencies, joins, model assumptions, semantic definitions, and considerations for data quality.

• Assist in code reviews, version-controlled development, and reusable workflow practices.

• Collaborate with Data Analysts, Data Scientists, AI Scientists, Data Engineers, and Architects.

• Enhance model structure, metric consistency, documentation, and analytical workflows.

• Adhere to governance, privacy, and data quality standards.

• Engage in client-facing discussions, articulating model logic, metric definitions, transformation selections, and data quality considerations.

• Share modeling best practices and provide support to junior practitioners.

⛳️ Requirements

• A minimum of 3 years of practical experience in data engineering, cloud data platforms, and enterprise analytics solutions.

• Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, Statistics, or a related technical discipline.

• Ability to create dashboards in Power BI, Tableau, or similar business intelligence tools.

• Experience in developing Alteryx and other ETL processes for automated reporting.

• Capability to translate complex analytical outputs into executive-friendly visual representations.

• Build, maintain, and support interactive reports equipped with filters, drill-downs, and trend analysis functionalities.

• Ensure data quality and consistency behind the dashboards.

• Proficiency in Databricks (Python, PySpark, SQL, Delta Lake, Workflows).

• Familiarity with cloud data platforms and services, particularly Azure/Databricks.

• Experience with API integrations and data ingestion frameworks.

• Knowledge in ETL/ELT pipeline design, development, and support.

• Proficient in workflow orchestration tools such as Airflow, Databricks Workflows, or Azure Data Factory.

• Skills in data modeling, performance optimization, monitoring, and operational support.

• Experience in Power BI or development in enterprise BI platforms.

• Knowledge of data governance, security, access management, and production support.

• Experience in data validation and automated anomaly detection.

• Familiarity with Finance KPIs and spatial data is an advantage.

• Experience with Agile methodologies and consulting is a plus.

🏝️ Benefits

• Flexibility in work arrangements, offering remote and hybrid options (subject to location).

• Opportunities for career advancement, including international mobility and professional development programs.

• Access to learning and development resources, including cutting-edge tools, training, and industry experts.

• Comprehensive medical, dental, and vision insurance for you and your family.

• Employer contributions to Health Savings Accounts.

• Inclusion and accessibility accommodations throughout the interview process.