Data Analyst

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

📋 Description

• Convert data into actionable insights that aid in both strategic and operational decision-making.

• Collaborate with Field Operations, Sales, Finance, Service Delivery, Customer Success, and Executive Management teams.

• Evaluate field service operations, technician productivity, service quality, customer experience, and operational efficiency.

• Create and sustain dashboards that monitor field service KPIs, scorecards, and operational objectives.

• Oversee service delivery performance across managed IT, connectivity, security, and network infrastructure solutions.

• Detect trends in service calls, installation delays, outage response times, service quality, costs, and productivity.

• Anticipate staffing and resource requirements and assist with headcount and workforce planning.

• Assess route efficiency, travel time, fuel usage, scheduling effectiveness, and opportunities for cost control.

• Evaluate performance against SLAs and customer commitments.

• Perform root cause analyses and construct predictive models for service demand and operational bottlenecks.

• Gather, validate, analyze, and interpret data from various business systems.

• Produce both recurring and ad hoc reports, automated reporting processes, data models, and management presentations.

• Assess recurring revenue, customer usage, churn, retention, network performance, service quality, contracts, renewals, profitability, and utilization.

• Ensure data integrity, resolve data quality issues, and document data definitions and analytical methodologies.

• Assist with data governance, forecasting, budgeting, capacity planning, strategic planning, and process optimization.

• Present insights and recommendations to management and executive teams.

⛳️ Requirements

• Bachelor's degree in Data Analytics, Statistics, Mathematics, Business Analytics, Information Systems, Economics, Computer Science, or a related field.

• An equivalent combination of education and experience may also be considered.

• 3-5 years of experience in data analysis, business intelligence, or reporting.

• Proficient in working with large datasets and various data sources.

• Experience in creating dashboards and reports for business stakeholders.

• Experience in field operations, managed services, technology services, or a related industry is preferred.

• Advanced skills in Microsoft Excel.

• Familiarity with Power BI, Tableau, or similar business intelligence tools.

• Understanding of relational databases and data warehousing concepts.

• Familiar with statistical analysis techniques and forecasting methodologies.

• Experience in supporting executive-level reporting and KPI development is preferred.

• Experience utilizing AI tools such as Copilot, ChatGPT, or Claude is preferred.

• Strong analytical thinking, problem-solving capabilities, attention to detail, business acumen, data visualization, communication and presentation skills, project management, critical thinking, collaboration, and a continuous improvement mindset.

🏝️ Benefits

• Medical, Dental, Vision coverage.

• Paid Time Off & Paid Holidays.

• Paid Sick Time.

• Paid Parental Leave.

• 401K with Employer Match.

• Company-provided Life Insurance and Short/Long-Term Disability.

• Supplemental Benefits Available.

• A collaborative work environment.

• Equal opportunities to thrive.