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Data Intelligence Specialist

Job in Burlington, Ontario, Canada
Listing for: L3Harris Technologies
Full Time position
Listed on 2026-10-10
Job specializations:
  • IT/Tech
    Data Engineering, Business Intelligence, Business Systems & Technology Analysis, Data Analyst
Job Description & How to Apply Below

L3

Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers’ mission and quest for professional growth. L3

Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.

L3

Harris is the Trusted Disruptor in defense tech. With customers’ mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.

Specialist - Data Intelligence Specialist

Reference # 41873

Waterdown, ON

About the Role

The Data Intelligence Specialist is responsible for designing, developing, and optimizing enterprise data solutions that enable trusted, scalable, and actionable business intelligence across the WESCAM.

This role supports cleaning, merging, transforming, and governing data from multiple enterprise systems into semantic models, analytical views, and modern data lake architectures.

This role works closely with IT leadership, business stakeholders, engineering teams, data professionals, and external partners to ensure that enterprise data assets are standardized, accessible, and aligned with operational and strategic business goals.

This role combines business analysis, data transformation, systems integration, and data modeling expertise to improve organizational decision-making capabilities.

Primary Responsibilities

Data Integration & Transformation

  • Analyze and integrate data from multiple business applications, databases, APIs, cloud platforms, and external systems.
  • Create reusable semantic layers, curated datasets, and business-ready data models.
  • Support the design and maintenance of enterprise data lakes and modern data platforms.
  • Business Analysis & Solution Design

  • Translate business needs into logical and physical data models.
  • Document business rules, transformation logic, lineage, and technical specifications.
  • Semantic Modeling & Analytics Enablement

  • Build semantic views and analytical models to support BI tools and self-service reporting.
  • Support dashboard, visualization, and enterprise reporting initiatives.
  • Data Governance & Quality

  • Implement data quality standards, monitoring processes, and governance controls.
  • Troubleshoot data discrepancies and resolve integration or transformation issues.
  • Project & Stakeholder Management

  • Coordinate work with cross-functional teams including developers, architects, analysts, and business leaders.
  • Communicate technical concepts and operational processes effectively to both technical and non-technical audiences.
  • Required Capabilities

    Technical Skills

  • SQL, Python, or similar data processing technologies
  • Data modeling and semantic layer design
  • Data lake and warehouse architecture
  • Metadata, lineage, and governance tooling
  • Business Analysis Skills

  • Requirements gathering and documentation
  • Process analysis and workflow understanding
  • Problem-solving and analytical thinking
  • Communication Skills

  • Ability to explain technical concepts to non-technical audiences.
  • Strong written and verbal communication skills.
  • Ability to influence and collaborate across departments
  • Desired Education and Experience s

  • Bachelor’s Degree in Information Technology, Computer Science, Engineering, Data Analytics, Business Technology, or related discipline with a minimum of 4 years of relevant experience; or
  • Graduate Degree with a minimum of 2 years of related experience; or
  • In lieu of a degree, a minimum of 8 years of directly related
  • Experience with Azure, Databricks, Fabric data platforms.
  • Experience building…
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