Data and Analytics Lead

About the Company

Clearoute Inc. is a professional services company that helps businesses grow through various offerings, including branding, marketing, web development, and consulting. We have been in the industry for over 25 years, establishing ourselves as a trusted growth partner. We pride ourselves on innovative solutioning, effective communication, and rigorous planning to ensure our client's requirements are met in a timely and effective manner. We believe a great business starts with its people. We prioritize our employees' growth and learning, providing them significant exposure to a wide range of industries and allowing them flexibility within their role to focus on what they are passionate about and can be the most successful in.

About the Role

The Data & Analytics Lead will play a pivotal role in driving Clearoute's data strategy and analytics efforts, supporting clients across various industries in achieving measurable digital marketing success. This role will support Clearoute's clients by leveraging data to optimize campaigns, improve customer engagement, and maximize ROI. The ideal candidate combines technical expertise with a strong understanding of digital marketing and client-facing communication. This role will also act as a trusted partner to clients, ensuring that their data strategies align with business goals and deliver measurable results.

Responsibilities:

Modern Data Infrastructure/Stack and Management:

• Design and implement scalable ETL pipelines to automate data extraction, transformation, and loading (ETL) from platforms such as Google Ads, Meta Ads, Shopify, Klaviyo, and HubSpot into centralized repositories like BigQuery.
• Manage a marketing technology stack that integrates data from CDPs, CRMs, analytics platforms, and transactional systems.
• Build and maintain API integrations to connect marketing platforms and ensure seamless data flow.
• Optimize data pipelines for performance, reliability, and scalability.

Audience Segmentation:

• Develop and execute customer segmentation strategies using first-party data and campaign engagement metrics to enhance targeting and personalization.
• Leverage first-party data, behavioral insights, and campaign engagement metrics to build and refine audience segments.
• Drive retention, reactivation, and acquisition strategies using segmentation as a core lever.
• Guide internal teams on best practices for segmentation and collaborate to ensure campaigns resonate with target audiences.

Reporting and Analytics:

• Lead the implementation of analytics solutions, including data layer creation, tag deployment, rigorous testing, and actionable reporting.
• Design, build, and maintain dynamic dashboards and reports-both automated and manual-integrating data from diverse platforms to visualize KPIs and campaign performance.
• Leverage advanced analytics techniques, such as attribution modeling and predictive analysis, to provide strategic insights into customer behavior and campaign outcomes.
• Establish reporting frameworks that seamlessly connect marketing data with CRM and sales management systems, ensuring end-to-end visibility.
• Conduct regular data audits to maintain accuracy and reliability of insights.

Campaign Performance Optimization:

• Leverage marketing and data automation tools to streamline campaign execution, integrate workflows across platforms, and deliver scalable, data-driven insights that enhance performance and personalization.
• Analyze marketing data to identify trends, patterns, and opportunities for optimization.
• Collaborate with the digital team to refine audience segmentation, improve creative performance, and maximize ROI.
• Develop and implement forecasting models to predict campaign outcomes, customer behavior, and marketing trends.
• Establish and manage a comprehensive KPI framework to monitor and optimize marketing performance and efficiency across multiple channels and clients.
• Support A/B testing efforts with data-backed insights.

Marketing Automation & Execution

• Configure and manage marketing automation tools (e. g. , HubSpot, Klaviyo, Salesforce) to execute workflows, email campaigns, and triggered communications.
• Ensure data from automation platforms integrates seamlessly with CRMs and analytics tools.
• Monitor and optimize automated workflows to improve engagement and ROI.

Strategic Leadership:

• Define best practices for data utilization, governance, and reporting across Clearoute and its clients.
• Provide thought leadership in marketing analytics, keeping the team updated on industry trends and tools.
• Partner with the Head of Digital to align data strategies with broader business goals.
• Mentor team members on data best practices, ensuring continuous improvement in data literacy across the organization.

Cross-Functional Collaboration:

• Work closely with marketing, creative, and technology teams to align data solutions with campaign objectives.
• Support CRM teams by ensuring data from marketing channels integrates seamlessly into customer and lead management systems.
• Act as the primary point of contact for client data needs, ensuring clarity and alignment with their goals.

Required Qualifications:

Education:

• Bachelor's degree in Data Science, Data Management, Marketing Analytics, Sales Analytics, Computer Science, or a related field.

Experience:

• 5+ years of hands-on experience in data engineering, analytics, or marketing technology, preferably in a digital marketing or agency environment.
• Proven ability to manage end-to-end data workflows, including ETL, reporting, and audience segmentation.
• Experience working with marketing data from platforms such as Google Ads, Meta Ads, Shopify, and other sales & marketing platforms.

Technical Skills:

• Proficiency in SQL and hands-on experience with data warehouses (e. g. , BigQuery, Snowflake).
• Programming knowledge in Python or R for data manipulation and ETL tasks.
• Expertise in data visualization tools such as Tableau, Google Data Studio, or Looker.
• Experience with API integrations and marketing analytics platforms (e. g. , Google Analytics, Adobe Analytics).

Preferred Qualifications:

• Experience with advanced analytics techniques, such as predictive modeling, machine learning, or multi-touch attribution.
• Understanding of data privacy regulations (e. g. , GDPR, CCPA) and their impact on data handling and marketing practices.
• Prior experience in managing or supporting marketing campaigns.

Key Competencies:

• Execution-Oriented:
  Hands-on ability to execute technical tasks while meeting deadlines.
• Analytical Thinking:
  Strong problem-solving skills to turn complex data into actionable insights.
• Technical Mastery:
  Proficiency in building and maintaining robust data systems and pip.