Data Analyst
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Job Description
Data Analyst transforming operational, customer, revenue, and network data into dashboards and predictive insights. Supporting Velocity’s technology solutions and services business with forecasting, KPI reporting, and process optimization.
Responsibilities:
- Transform data into actionable insights supporting strategic and operational decision-making
- Partner with Field Operations, Sales, Finance, Service Delivery, Customer Success, and Executive Management
- Analyze field service operations, technician productivity, service quality, customer experience, and operational efficiency
- Develop and maintain dashboards tracking field service KPIs, scorecards, and operational targets
- Monitor service delivery performance across managed IT, connectivity, security, and network infrastructure solutions
- Identify trends in service calls, installation delays, outage response times, service quality, costs, and productivity
- Forecast staffing and resource needs and support headcount and workforce planning
- Analyze route efficiency, travel time, fuel utilization, scheduling effectiveness, and cost-control opportunities
- Measure performance against SLAs and customer commitments
- Conduct root cause analyses and develop predictive models for service demand and operational bottlenecks
- Collect, validate, analyze, and interpret data from multiple business systems
- Create recurring and ad hoc reports, automated reporting processes, data models, and management presentations
- Analyze recurring revenue, customer usage, churn, retention, network performance, service quality, contracts, renewals, profitability, and utilization
- Maintain data integrity, resolve data quality issues, and document data definitions and analytical methodologies
- Support data governance, forecasting, budgeting, capacity planning, strategic planning, and process optimization
- Present findings 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
- Equivalent combination of education and experience may be considered
- 3-5 years of experience in data analysis, business intelligence, or reporting
- Experience working with large datasets and multiple data sources
- Experience creating dashboards and reports for business stakeholders
- Field operations, managed services, technology services, or related industry experience preferred
- Advanced proficiency in Microsoft Excel
- Experience with Power BI, Tableau, or similar business intelligence tools
- Understanding of relational databases and data warehousing concepts
- Familiarity with statistical analysis techniques and forecasting methodologies
- Experience supporting executive-level reporting and KPI development preferred
- Experience using AI tools such as Copilot, ChatGPT, or Claude preferred
- Analytical thinking, problem solving, attention to detail, business acumen, data visualization, communication and presentation skills, project management, critical thinking, collaboration, and continuous improvement mindset
Benefits:
- Medical, Dental, Vision
- PTO & Paid Holidays
- Paid Sick Time
- Paid Parental Leave
- 401K – with Employer Match
- Company provided Life Insurance, Short/Long-Term Disability
- Supplemental Benefits Available
- Collaborative work environment
- Equal opportunities to thrive
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