Job Description: Senior Data Analyst / Data Engineer Location: Remote in Canada

About Us: Join our Applied AI Solutions Team, where data, analytics, and artificial intelligence come together to drive innovation and business value. We are focused on delivering scalable AI-powered solutions that transform enterprise operations, enhance decision-making, and unlock new opportunities through data. Our team collaborates across business, technology, security, and architecture functions to build trusted, high-quality data assets that support advanced analytics and AI initiatives.

Position Overview: We are seeking a Senior Data Analyst / Data Engineer to design, develop, and maintain data pipelines, integrations, and analytical datasets that power AI-driven applications and business solutions. This role serves as a critical bridge between enterprise data sources, AI platforms, and business stakeholders, ensuring data is accessible, reliable, secure, and actionable. The ideal candidate combines strong data engineering expertise with advanced analytical capabilities and experience supporting AI, automation, and business intelligence initiatives. This individual will play a key role in enabling data-driven decision-making and supporting the organization's AI strategy.

Responsibilities: Data Engineering & Integration (35%) Design, develop, and maintain scalable data pipelines and data integration solutions. Build and optimize ETL/ELT processes to ingest, transform, and prepare data for analytics and AI applications. Ensure data quality, consistency, availability, and performance across enterprise platforms. Develop and maintain integrations with APIs, databases, cloud platforms, and third-party systems. Support data architecture initiatives, including data modeling and database design. Analytics & Business Insights (25%) Analyze large and complex datasets to identify trends, patterns, risks, and business opportunities. Partner with business stakeholders to gather requirements and translate them into analytical solutions. Develop reporting frameworks, dashboards, and performance metrics using tools such as Power BI, Tableau, or Looker. Support measurement and reporting for AI solution adoption, operational efficiency, and business value realization. Deliver actionable insights that inform strategic and operational decision-making. AI & Applied Data Solutions (20%) Prepare structured and unstructured datasets for AI and machine learning initiatives. Support Retrieval-Augmented Generation (RAG) and knowledge management solutions. Collaborate with AI Engineers to develop datasets for model training, evaluation, and performance monitoring. Assist in implementing data pipelines and processes that support Generative AI applications. Apply data governance and security controls that enable responsible AI adoption. Data Governance & Quality Management (10%) Establish and maintain data quality standards, validation rules, and monitoring processes. Support metadata management, data cataloging, and data lineage initiatives. Ensure compliance with security, privacy, and regulatory requirements. Collaborate with Security, Privacy, and Enterprise Architecture teams to maintain governance standards. Process Improvement & Innovation (10%) Identify opportunities to automate data workflows and improve operational efficiency. Recommend enhancements to data infrastructure, reporting processes, and analytical capabilities. Contribute to continuous improvement initiatives supporting AI, analytics, and enterprise data management. Stay current with emerging technologies, cloud platforms, and industry best practices.

Qualifications: Education Bachelor's degree in Computer Science, Data Analytics, Information Systems, Engineering, Mathematics, or a related field. Experience 5+ years of experience in data engineering, analytics, business intelligence, or related disciplines. Proven experience designing, developing, and maintaining enterprise-scale data pipelines. Experience working with cloud platforms such as Google Cloud Platform (GCP), AWS, or Microsoft Azure. Experience supporting AI, machine learning, advanced analytics, or data science initiatives. Experience working with cross-functional stakeholders to deliver data-driven solutions. Technical Skills Advanced SQL development and query optimization. Strong Python programming skills for data processing and automation. Data modeling and database design expertise. ETL/ELT development and orchestration. API integration and data exchange technologies. Data visualization and reporting tools (Power BI, Tableau, Looker). Cloud data platforms such as BigQuery, Snowflake, Amazon Redshift, or Azure Synapse. Understanding of data governance, metadata management, and data quality frameworks. Preferred Qualifications Experience with AI platforms such as Vertex AI, Azure AI, OpenAI, or similar technologies. Experience supporting Generative AI and Retrieval-Augmented Generation (RAG) solutions. Google Professional Data Engineer certification (or willingness to obtain). Experience within professional services, consulting, customer experience, or enterprise transformation environments. Familiarity with AI model monitoring, evaluation frameworks, and responsible AI practices.

Why Join Us? Be part of a forward-thinking team driving AI and data innovation. Work on cutting-edge analytics, automation, and Generative AI initiatives. Collaborate with talented professionals across business and technology disciplines. Contribute to high-impact projects that deliver measurable business value. Enjoy opportunities for continuous learning, professional development, and career growth.