S4 Capital Group

Senior Marketing Analyst

S4 Capital Group

full-time

Posted on:

Origin:  • 🇨🇦 Canada

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Salary

💰 CA$93,400 - CA$110,700 per year

Job Level

Senior

Tech Stack

PythonSQL

About the role

  • Own and optimize the data pipelines that power marketing analytics, ensuring timely delivery, accuracy, and integrity of large-scale datasets
  • Diagnose and resolve complex data issues by debugging SQL scripts, auditing data sources, and collaborating with Data Engineering to enhance pipeline performance and reliability
  • Lead data governance initiatives by establishing and enforcing best practices for data quality, consistency, and documentation
  • Develop and automate scripts for data validation, transformation, and migration to improve operational efficiency and integration
  • Conduct complex, deep-dive analyses to measure marketing campaign impact, identify performance trends, and provide actionable recommendations
  • Utilize advanced SQL and scripting to query, transform, and synthesize massive datasets from disparate sources and develop new methodologies and metrics
  • Develop comprehensive reports and presentations translating complex analytical findings into clear, actionable insights for stakeholders
  • Lead end-to-end development of marketing analytics tools and scalable dashboards; partner with marketing stakeholders to gather requirements and translate business needs into technical specifications

Requirements

  • 3+ years of experience in a highly analytical and technical role, such as a Data Analyst, Business Intelligence Engineer, or hybrid Marketing Analyst/Software Engineer
  • Demonstrated experience in building and maintaining data-driven solutions and platforms
  • Expert-level proficiency in SQL for complex data querying, manipulation, and analysis of large datasets
  • Proficiency in at least one scripting language (e.g., Python or R) for data extraction, transformation, automation, and statistical analysis
  • Strong experience with data visualization and dashboarding tools (e.g., Google internal dashboard systems, Google Sheets)
  • Proficiency in Google Apps Script for automation and tool customization
  • Familiarity with data warehousing concepts and experience working with large-scale data infrastructures
  • Strong quantitative and qualitative analytical skills
  • Excellent written and verbal communication skills to articulate technical details and analytical findings