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Chief Data Insights Strategist

2 weeks ago

Markham, Ontario, Canada Hire Intellect Full time

Company Overview:

Hire Intellect is a full-service agency dedicated to transforming businesses into purpose-driven, profitable brands.

We leverage data analytics, AI, and a skilled team to drive demand, deepen customer loyalty, and implement innovative technology solutions.

The Data & Analytics Lead will play a critical role in driving our data strategy, supporting clients in optimizing campaigns, improving customer engagement, and maximizing ROI.

Job Description:

As the Chief Data Insights Strategist, you will design and manage ETL pipelines, API integrations, and data repositories like BigQuery.

You will develop customer segments using first-party data to enhance targeting and personalization.

Additionally, you will build dashboards, implement analytics solutions, and provide actionable insights on campaign performance.

You will analyze data to identify trends, forecast outcomes, and refine strategies for improved ROI.

Furthermore, you will configure tools like HubSpot and Klaviyo to streamline workflows and campaigns.

Finally, you will define data governance best practices and mentor team members in data literacy.

Key Responsibilities:

  • Data Infrastructure: Design and manage ETL pipelines, API integrations, and data repositories like BigQuery.
  • Audience Segmentation: Develop customer segments using first-party data to enhance targeting and personalization.
  • Reporting & Analytics: Build dashboards, implement analytics solutions, and provide actionable insights on campaign performance.
  • Campaign Optimization: Analyze data to identify trends, forecast outcomes, and refine strategies for improved ROI.
  • Marketing Automation: Configure tools like HubSpot and Klaviyo to streamline workflows and campaigns.
  • Strategic Leadership: Define data governance best practices and mentor team members in data literacy.

Qualifications:

  • Bachelor's degree in Data Science, Marketing Analytics, or related fields.
  • 5+ years in data engineering, analytics, or marketing technology.
  • Proficiency in SQL, Python/R, and data visualization tools (e.g., Tableau, Looker).
  • Experience with platforms like Google Ads, Meta Ads, Shopify, and HubSpot.

Preferred Skills:

  • Expertise in predictive modeling and machine learning.
  • Knowledge of data privacy regulations (e.g., GDPR, CCPA).
  • Strong collaboration, problem-solving, and adaptability skills.