Field Service Analytics Manager – Dashboards & Insights

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop, manage, and enhance analytics, reporting, and dashboard functionalities for the Field Service division.

• Provide insights that facilitate strategic decision-making, performance management, operational transparency, and ongoing enhancements within Field Service.

• Assist in forming and guiding a team of analysts dedicated to Field Service operations.

• Create dashboards, establish key performance indicators, analyze operational and customer data, and collaborate with Field Service leadership, IT Business Intelligence, Data Science, Infrastructure, and other business stakeholders.

• Set, monitor, and uphold essential Field Service performance metrics to offer insights into operational effectiveness, trends, risks, and areas for improvement.

• Construct, sustain, and refine dashboards and reporting tools to assist Field Service leadership, operational teams, and business stakeholders.

• Collaborate closely with IT Business Intelligence, Data Science, Infrastructure, and other analytics teams to guarantee data sources, reporting frameworks, and analytical tools are precise, dependable, and aligned with business requirements.

• Examine extensive datasets regarding Field Service performance, customer behavior, market dynamics, technician readiness, productivity, operational efficiency, and other business priorities.

⛳️ Requirements

• A Bachelor's degree in Analytics, Data Science, Business Analytics, Information Systems, Statistics, Engineering, Business, or a related discipline is required.

• A minimum of six years of pertinent analytical experience working with large datasets and providing business insights is required.

• Expertise in crafting complex SQL queries is required.

• Experience in developing dashboards and reports using Tableau or comparable visualization tools is required.

• Familiarity with Snowflake or similar cloud-based data platforms is preferred.

• Practical experience in integrating AI tools, generative AI, automation, or advanced analytics workflows into everyday analytical tasks is preferred.

• Proven ability to persuade stakeholders using data-driven insights, effective communication, and actionable recommendations is required.

• Strong business acumen, critical thinking, problem-solving abilities, and capacity to handle multiple priorities are required.

🏝️ Benefits

• A comprehensive and competitive benefits package designed to promote employee well-being, growth, and long-term success.

• Health insurance.

• Retirement plans.

• Paid time off.

• Flexible work arrangements.

• Professional development opportunities.