Business Data Analyst | Motorola Solutions

Location: Remote (Eastern Canada) | Work Mode: Full-time | Travel: < 10% | Posting date/time : February 11, 2026

Job Description

Department Overview

The Customer Experience (CX) team at Motorola Solutions safeguards the user journey. We pinpoint friction early and partner across Product, Quality, and Engineering teams to eliminate obstacles before they reach our customers, ensuring safer communities through reliable technology.

Role Summary:

We are seeking a highly skilled and innovative Business Data Analyst to drive business change across the organization. You will be expected to identify issues through rigorous data analysis and suggest actionable change activities. This role requires working closely with internal teams to develop processes and leverage data insights to accelerate business objectives.

Key Responsibilities:

• Conduct deep-dive analysis and provide fundamental insights to drive business decisions and performance.
• Extract and present data to both technical and non-technical business domains.
• Build, maintain, and automate Business Intelligence (BI) dashboards and self-serve capabilities.
• Define key metrics across different teams and establish robust tracking frameworks.
• Proactively seek opportunities within data to accelerate departmental and organizational objectives.
• Analyze and present reports aggregated from multiple, disparate data sources.
• Ensure the absolute quality and integrity of data used for business reporting.
• Prioritize and deliver on projects, trends, and specific data requests from stakeholders.

Qualifications & Requirements:

• Experience Level: Experienced professional with a background in data-driven change management.
• Technical Orientation: Ability to build automated reporting systems and tracking frameworks.
• Soft Skills: Strong collaborative mindset to work with multiple cross-functional stakeholders.
• Location: Candidates must be located in Eastern Canada (Remote).

Job details made easy by trendtoday360

Position: CX Data Strategist & BI Analyst
Focus: Friction Elimination & Process Optimization
Core Technology: BI Dashboards, Tracking Frameworks, Automation

✅ Job Summary and Focus:

This role at Motorola Solutions is for a Friction Hunter. Working within the Customer Experience team, the focus is on Preventative Analytics—identifying where users might struggle with safety and command center technologies before those issues escalate. You aren’t just “reporting” numbers; you are an Agent of Change. You will be building the “Self-Serve” infrastructure that allows Product and Engineering teams to monitor their own data health, while you focus on high-level Deep-Dive Insight that shifts how the business operates.

📌 Key ATS Resume Keywords:

Business Data Analyst, Motorola Solutions, Customer Experience, CX, Data Analysis, Business Intelligence, BI Dashboards, Automation, Tracking Frameworks, Data Quality, Data Integrity, Stakeholder Engagement, Process Improvement, Deep-Dive Analysis, Change Management, Eastern Canada Remote.

💰 Industry and Regional Insights:

Motorola Solutions is a global leader in Public Safety Tech. This role offers the unique opportunity to apply data science to missions that keep people safer everywhere.

• The Remote Advantage: This position is specifically targeted toward talent in Eastern Canada (Ontario, Quebec, Maritimes), allowing for timezone alignment with global headquarters while offering a 100% remote lifestyle.
• Racial Representation in Canadian Tech: Based on 2025 industry labor data for “Data and Systems Analysts” in Canada:
  • White: 48.2%
  • Asian: 36.5%
  • South Asian: 11.4% (Rapidly growing in Ontario tech hubs)
  • Black: 3.9%
• Gender in CX Analytics: Women currently represent approximately 38% of data analyst roles within Customer Experience departments, a significantly higher percentage than in core backend engineering.
• Market Trends: In 2026, “Self-Serve Capability” is the most requested skill for BI Analysts. Companies are prioritizing analysts who can build tools that let non-technical managers pull their own data, freeing up the analyst for more complex, strategic deep-dives.

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