Insights & Analytics Specialist

CANADIAN WILDLIFE FEDERATIONOttawa, ON
CA$56,265 - CA$70,331Hybrid

About The Position

Reporting to the Director, Insights & Donor Experience, the Insights & Analytics Specialist translates strategic business questions into structured data solutions, analytical models, and well-defined outputs that support audience segmentation, donor engagement strategies, and testing frameworks for the Canadian Wildlife Federation (CWF). The Insights & Analytics Specialist is accountable for designing, building, and maintaining foundational data structures used by the Insights & Donor Experience leadership team to inform insights and organizational decision-making. This position owns the quality and reliability of analytical datasets and provides the technical expertise required to ensure data integrity, consistency, and accuracy, enabling evidence-based decision-making across the organization.

Requirements

  • Bachelor’s degree, or an equivalent combination of education and experience, in Computer Science, Statistics, Mathematics, Data Science, or a related field.
  • A minimum of 2 years of related experience.
  • Demonstrated ability to analyze and interpret datasets, and translate findings into clear, actionable insights.
  • Strong attention to detail with a focus on data accuracy, integrity, and consistency.
  • Ability to communicate technical concepts effectively to non-technical stakeholders and support data-informed decision-making.

Responsibilities

  • Designs, builds, and maintains data structures, transformation pipelines, and analytical datasets across multiple source systems to support audience segmentation and analysis.
  • Develops and executes longitudinal cohort analyses and segmentation models across fundraising channels.
  • Defines cohort structures and analytical frameworks to support donor lifecycle analysis and engagement strategies.
  • Maintains and enhances analytical assets, ensuring data integrity, consistency, and alignment with established governance standards.
  • Identifies, investigates, and resolves data quality issues and inconsistencies.
  • Conducts ad hoc analyses in response to emerging risks, data issues, or defined business questions.
  • Designs and implements testing frameworks (i.e., contact frequency, solicitation cadence, ask strategies, etc.).
  • Prepares datasets and measurement approaches to support valid and reliable testing.
  • Ensures consistency and accuracy in test design and execution.
  • Documents data structures, analytical logic, segmentation rules, and methodologies to support transparency and repeatability.
  • Maintains clear and consistent documentation of data definitions and assumptions.
  • Supports ongoing maintenance and improvement of analytical assets and processes.

Benefits

  • health
  • dental
  • vision
  • LTD
  • Employee Assistance Program
  • Group RSP enrollment with up to 5% matching
  • 13 paid stat holidays per year
  • paid vacation days
  • sick days
  • float days
  • appointment time
  • Complimentary subscription to Canadian Wildlife magazine
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