TL;DR

Data Analyst: Transforming raw data into actionable insights to inform decisions across creative, UX, marketing, and product teams, with an accent on user behavior, performance metrics, and business trends analysis. Focus on identifying trends, opportunities, and risks through campaign, product, and user-experience data analysis.

Location: Must be based in Canada.

Company

%hirify_global% is a global company with 22 studios that creates human experiences and tells big stories for bold clients.

What you will do

Develop measurement and learning frameworks to evaluate performance and drive continuous improvement.
Lead reporting, dashboarding, and visualization efforts from operational scorecards to executive summaries.
Analyze campaign, product, and user-experience data to identify trends, opportunities, and risks.
Partner with creative, UX, product, and account teams to translate insights into strategy and design decisions.
Ensure data integrity through strong governance, validation, documentation, and privacy practices.

Requirements

5+ years of experience working as a data analyst, business intelligence analyst, or similar role within an agency, marketing, or product-focused environment.
Strong proficiency in data manipulation, cleaning, and analysis (SQL, spreadsheets, Python or R preferred).
Experience with data visualization tools or libraries (e.g. Tableau, Power BI, Looker, matplotlib/seaborn).
Comfortable working with multiple data sources, integrating disparate data, and ensuring data quality.
Excellent communication skills, able to translate technical findings into clear, actionable recommendations for creative and business teams.
Ability to work independently and collaboratively and manage competing priorities in a fast-paced, project-driven agency environment.

Nice to have

Experience with marketing attribution models, customer segmentation, lifetime value (LTV) analysis, or predictive analytics.
Background in UX analytics, user-behavior tracking, or product analytics.
Familiarity with privacy regulations, data governance, and ethical data handling.
Experience with automation, ETL pipelines, or data-engineering workflows.
Comfort working in cross-disciplinary teams, supporting both creative and technical stakeholders.

Culture & Benefits

Open, inclusive, and curious culture rooted in Creative Democracy.
Committed to creating an equitable, diverse, and inclusive workspace.
Encourages candidates from diverse backgrounds to apply.