Lead, Data Analytics (Marketing Science)

TL;DR

Lead, Data Analytics (Marketing Science): Planning, designing, and executing measurement strategies to deliver actionable insights for marketing campaigns with an accent on data extraction, statistical modeling, and attribution. Focus on navigating ambiguity, deriving "so what" and "now what" from complex data, and establishing thought leadership in digital media analytics.

Location: Remote-first environment, candidates can work from anywhere globally. The company is based in Canada, and the salary range provided ($83,000–$104,000 CAD) is for Canada hires.

Salary: $83,000–$104,000 CAD

Company

hirify.global partners with North American retailers and brands, driving local promotions and savings through its Shopper Consideration Platform, aiming to help people make smarter shopping decisions.

What you will do

• Plan and design testing and measurement strategies based on best practices to achieve business objectives.
• Master data extraction, manipulation, and aggregation across enterprise-level systems and large datasets.
• Apply foundational statistical concepts and deep expertise in digital marketing attribution and incrementality measurement.
• Generate compelling and insightful analysis, driving meaningful actions and data visualization best practices.
• Actively refine skills, research industry best practices, and contribute to team knowledge development.

Requirements

• Post-secondary degree in a quantitative discipline (Statistics, Math, Finance, Economics, Business Engineering).
• 5+ years of experience as a data analyst delivering sustained business impact.
• Expertise in data extraction and analysis using SQL, Python, Scala, and R.
• Hands-on experience developing dashboards with industry-leading BI tools (Tableau, PowerBI, Thoughtspot, Looker).
• Strong understanding of cloud data platforms (AWS, Azure, GCP).
• Strong understanding of Retail, CPG, digital measurement, and consumer insights.

Nice to have

• Certifications in data analysis and digital marketing.
• Experience working with Databricks.

Culture & Benefits

• An inclusive, collaborative, and remote-first environment where your voice matters.
• Tools and opportunities for accelerated career growth and development.
• Highly flexible benefits, allowing empowerment to do your best work.
• A focus on impact and being rewarded for contributions.
• An emphasis on authenticity, continuous learning, curiosity, and an entrepreneurial mindset.

Hiring process

• AI is used in limited, administrative ways for scheduling interviews and identifying relevant keywords.
• All application assessments and hiring decisions are completed by real people.
• A member of the recruitment team will respond in the coming weeks.