Data Scientist developing customer-focused data products to improve customer journey at Noibu. Collaborating with teams to analyze feedback data and shape analytics strategies.
Responsibilities
Own the end-to-end development of customer-focused data products
Translate business questions from Go-To-Market (Sales, Marketing and CS) and Product partners into clear requirements
Explore product usage and feedback data and turn findings into dashboards, reports, and recommendations
Advocate for data quality and performance as you shape the long-term analytics strategy around customers and their lifecycle
Collaborate closely with R&D and product teams to define data contracts and ensure product telemetry and event tracking are structured for downstream analytics
Requirements
4+ years of experience building data infrastructure in a high-growth startup or fast-moving technology environment
Strong experience designing and maintaining production-grade data pipelines in a modern data stack
Hands-on experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift
Strong proficiency with SQL and at least one programming language (e.g., Python, Scala)
Deep experience with data transformation frameworks (dbt) and modern data modeling practices
Experience with data orchestration tools such as Airflow or Dagster to manage and monitor pipelines
Experience integrating and unifying data from multiple SaaS platforms and product data sources
Experience working in SaaS or technology environments, especially with product analytics and customer lifecycle data.
Principal Product Manager leading product strategy for health data platform at PointClickCare. Collaborating across teams to optimize health data for analytics and care delivery.
Data Engineer optimizing and maintaining data pipelines in Blackline Safety's IoT - enabled safety ecosystem. Collaborating with product, engineering, and analytics teams on impactful data - driven initiatives.
Azure Data Engineer contractor for Ontario Crown Corporation. Design/build data pipelines using Azure Data Factory, Databricks, Python, PySpark. 3 days/week onsite in Oshawa.
Hiring Data Engineers with IMS DB, DB2, IBM MDM Server, and Talend ETL experience. Role involves data mapping, API integration, and SQL query development.
Data Engineer working with Google Cloud's technologies, assisting clients in data solutions and pipelines. Collaborating with teams to optimize data infrastructures and promote agile practices.
Data Engineer contributing to advanced analytics and machine learning solutions in aviation at Boeing. Collaborating within a data science team to produce industry - leading insights and build cloud - based tools.
Data Architect designing scalable, AI - ready data solutions for business transformations using Microsoft Azure technologies and Microsoft Fabric. Collaborate with engineering and business peers on analytics environments.
Data Engineering Team Lead at Vancity managing data engineering capabilities and mentoring engineers. Overseeing complex data initiatives while ensuring alignment with business priorities and enterprise architecture.
Data Engineer role focusing on Azure Data Factory & Databricks for building data pipelines. 11 - month contract, hybrid work in Oshawa, $90 - $95/hour.