Heading

Vancouver, British Columbia, Canada

Internship

Hybrid

CAD$20.70/hr - CAD$24.10/hr

Intern

Motorola Solutions is a global community focused on enhancing safety through technology. They are seeking a highly motivated Data Analyst Intern to apply data science and business intelligence techniques to improve contact center operations and customer experience.

Apply Now

Responsibilities

Data Collection and Preparation: Assist in collecting, cleaning, and processing large datasets from various sources, including CRM, call logs, and customer feedback systems
Performance Analysis: Develop and refine operational metrics, reports, and dashboards to monitor contact center performance and key drivers of contact volume (e.g., repeat calls, call time, and common reasons for contact)
Identify Root Causes: Conduct diagnostic and descriptive analysis to find patterns, trends, and root causes of high-impact contact events and recurring customer issues
Reporting and Presentation: Document analysis processes and methodologies, and translate complex data findings into clear, concise, and stakeholder-facing reports and visualizations for non-technical leadership and cross-functional teams
Process Improvement: Partner with business operations teams to recommend and influence business solutions and process improvements based on data-driven insights

Qualification

Required

Currently enrolled in a Bachelor's or Master's degree program in Data Science, Statistics, Business Analytics, Computer Science, or a related quantitative field
Foundational knowledge of data analysis techniques and tools
Technical Skills: Practical experience with SQL (Structured Query Language), Microsoft Excel, Google Sheets and at least one programming language for data analysis (e.g., Python or R). Previous experience working in Salesforce, or Salesforce reporting an asset
Strong analytical, mathematical, and problem-solving skills with a keen attention to detail
Excellent verbal and written communication skills, with the ability to communicate technical findings to business stakeholders
Demonstrated ability to manage time, prioritize tasks, and work without constant supervision