Senior Business Systems Analyst modernizing Boeing Canada’s defence sustainment systems and cloud data platforms. Translating mission needs into requirements, analytics, integrations, and reporting solutions.
About the role
- Analytics Engineer responsible for designing, building, and maintaining scalable data pipelines. Contributing to AI-enriched data infrastructure for revenue-focused initiatives across various teams at Meltwater.
Responsibilities
- Design, build, and maintain scalable dbt models on Snowflake/Databricks/Big Query that transform raw source data into reliable, well-documented datasets for analytics and reporting.
- Build and orchestrate Airflow DAGs that coordinate dbt runs, Snowpark Container jobs, and external task sensors across 20+ source systems.
- Integrate data from Salesforce, Gong, Intercom, Google Ads, Zoom, Satismeter, Workday, Gainsight, Kantata, Jira, and other external APIs into a unified revenue data model.
- Develop incremental, merge-based models with appropriate unique keys, schema-change handling, and date-window filtering for cost-efficient refreshes.
- Apply Snowflake Cortex AI functions (COMPLETE, SENTIMENT, TRANSLATE, SPLIT_TEXT_RECURSIVE_CHARACTER) to enrich text-heavy datasets such as call transcripts, emails, and survey responses, and produce vector-ready chunks for Cortex Search.
- Collaborate on AI/ML pipelines that combine dbt transformations with Snowpark Container Services jobs (e.g., PII redaction) to produce safe, enriched 360° views of customer interactions.
- Optimize warehouse usage, query patterns, and model materializations for performance, scalability, and cost — including query tagging for cost attribution and audit.
- Establish and enforce data quality standards through dbt tests (uniqueness, not-null, referential integrity), source freshness checks, and Airflow short-circuit validators.
- Implement data governance best practices — RBAC-driven schema promotion, masking/PII handling, lineage documentation, and compliant access patterns across source and prod.
- Work closely with Revenue Operations, FP&A, Sales, CS, and Business Applications teams to translate business questions into well-structured datasets and semantic models.
- Support the deployment of data-driven models and algorithms (AI tagging for use cases, churn-risk signals, competitor mentions, sentiment scoring, semantic search over conversations) in close collaboration with stakeholders.
- Contribute to shared dbt macros, testing frameworks, and CI/CD practices (SQLFluff linting, Slack-based alerting).
Requirements
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- 2-4 years of experience in data engineering, ETL development, and database management.
- Proficiency in SQL and Python, with experience using ETL and reverse ETL tools like Fivetran, Census, Hightouch, and DBT.
- Familiarity with data visualization tools (Tableau, Power BI, Looker, etc)
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies.
- Strong problem-solving skills and attention to detail.
- Effective communication skills to collaborate with cross-functional teams.
- Preferred experience with data warehousing solutions such as Snowflake and Databricks.
Benefits
- Flexible paid time off that allows you to have an enhanced work-life balance
- Excellent medical, dental, and vision options
- Complimentary CalmApp subscription for you and your loved ones, because mental wellness matters.
- Energetic work environment with a hybrid work style, providing the balance you need.
- Thrive within our inclusive community and seize ongoing professional development opportunities to elevate your career.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Senior Analytics Engineer building GTM pipelines, metrics, dashboards, and AI data tools. Supporting Motive’s platform for safer, more productive physical operations.
Data Analytics Engineer building trusted SQL data systems for Toptal, a global talent network. Owning transformation, governance, warehousing, and AI - enabled analytics foundations.
Analytics Engineer building dbt models, AI - ready datasets, and Tableau reporting for Movable Ink’s content personalization platform. Translating stakeholder needs into trusted metrics and business intelligence.
Principal leading client relationships and delivery teams for Teragonia’s AI operating system for private equity. Driving engagement outcomes, account growth, and cross - functional analytics solutions.
Staff Analytics Engineer leading analytics architecture, dbt models, and semantic layers at Render. Building trusted data foundations for AI - assisted decision - making across the developer cloud platform.
Lead Data/Analytics Engineer powering analytics and AI products for Dutch’s veterinary telemedicine platform. Owning event instrumentation, experimentation, data pipelines, and trusted metrics.
Senior Analytics Engineer building Fulfillment IQ’s Workbench data and analytics engine. Automating messy supply chain data processing into product - ready datasets.
Senior Analytics Engineer building scalable data transformations for Aleph's AI - native FP&A platform. Improving data integrity, pipelines, and models across diverse financial and operational sources.
Lead analytics engineer scaling analytics platforms for PlayStation game studios. Building performant data models and telemetry solutions for Sony’s console games.