Data Analytics Lead: Drive Marketing Science & Insights

Adelphi Group

Calgary

Hybrid

CAD 110,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Global maternity and parental leave
Competitive benefits packages
Vacation and flex days
Early Dismissal Fridays

Job summary

Critical Mass seeks a Data Analytics Lead to articulate the value of marketing science and guide analytics across client initiatives. You will lead a team delivering data-driven insights, with strong focus on measurement, reporting and data visualization.

You will mentor analysts, shape methodologies, and partner with stakeholders to translate findings into actionable recommendations, while advancing data governance and scalable analytics practices.

Qualifications

  • Bachelor’s degree in a quantitative/technical field; MS preferred.
  • Extensive experience in data science and analytics applied to business problems.
  • Experience leading and developing a team of analysts.
  • Proficiency with data visualization platforms (Tableau/Power BI) and data integration.

Responsibilities

  • Ensure analyses, reports, dashboards meet client needs.
  • Shape analytics content and provide methodology guidance.
  • Lead measurement strategies and framework development.
  • Map and implement data flows with governance compliance.
  • Manage, develop and motivate analysts: resourcing, hiring, training.

Skills

Data analytics leadership
Excel & MS Office
Data visualization
Statistical modeling
Data integration
Mentoring and coaching

Education

B.S. in quantitative/technical field
M.S. degree preferred

Tools

Tableau
Power BI
Google Analytics
SQL

Job description

Critical Mass seeks a Data Analytics Lead to articulate the value of marketing science and guide analytics across client initiatives. You will lead a team delivering data-driven insights, with strong focus on measurement, reporting and data visualization.

You will mentor analysts, shape methodologies, and partner with stakeholders to translate findings into actionable recommendations, while advancing data governance and scalable analytics practices.

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