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GeoSpatial Sr.Analyst MAP - GSSANL

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Ipolarity LLC
Full Time position
Listed on 2026-07-10
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 90000 - 150000 USD Yearly USD 90000.00 150000.00 YEAR
Job Description & How to Apply Below

Job Overview

Availability Management

Onsite – Charlotte, NC.

Client:
Kit.

BGV clearance required to start.

Responsibilities
  • Perform thematic analysis across incidents, outages, defects, service disruptions, and operational events to identify recurring patterns, systemic breakdowns, and emerging risk themes.
  • Develop and maintain metrics, dashboards, scorecards, and executive reporting that measure problem volume, aging, repeat incidents, root cause themes, remediation progress, and service impact.
  • Analyze structured and unstructured operational data to uncover trends that inform service improvement, stability efforts, and risk reduction.
  • Partner with engineering, production support, infrastructure, service management, and risk stakeholders to ensure problem records are actionable, root causes are understood, and corrective actions are tracked to completion.
  • Translate technical findings into clear, concise insights tailored to both technical and non-technical audiences, including senior leadership.
  • Support continuous improvement efforts that enhance operational discipline, strengthen governance, and improve the quality and usefulness of management reporting.
  • Promote a culture of ownership, collaboration, and continuous learning consistent with Truist's values and teammate experience.
Required Qualifications
  • Bachelor's degree in Information Systems, Computer Science, Business, Engineering, Analytics, or related field, or equivalent education and related training.
  • 5+ years of experience in Problem Management, Incident Management, IT Service Management, Technology Operations, or Operational Risk.
  • 3+ years of experience in metrics, reporting, analytics, trend analysis, or operational insight generation.
  • Demonstrated experience conducting thematic analysis across operational or service-related datasets.
  • Experience building and delivering executive reporting, dashboards, KPIs, and performance metrics in a complex enterprise environment.
  • Strong ability to synthesize large volumes of operational data into concise findings, actionable recommendations, and management-level insights.
  • Proven ability to work across cross‑functional teams and influence stakeholders without direct authority.
  • Strong written and verbal communication skills with the ability to present complex issues in a simple, business‑relevant way.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Required Skills Problem Management and ITSM
  • Strong knowledge of Problem Management principles, including trend analysis, root cause coordination, corrective action tracking, and governance.
  • Solid understanding of ITIL / ITSM disciplines, especially Incident, Problem, Change, and Knowledge Management.
  • Experience improving operational stability through proactive identification of recurring issues and systemic breakdowns.
Thematic Analysis
  • Ability to identify patterns and themes across incidents, defects, outages, and service interruptions.
  • Experience creating repeatable categorization models, issue taxonomies, and trend frameworks.
  • Strong investigative mindset with the ability to connect disparate data points into a cohesive operational narrative.
Metrics, Reporting, and Visualization
  • Experience designing and maintaining metrics frameworks, scorecards, dashboards, and leadership reporting.
  • Proficiency with tools such as Power BI, Tableau, Excel, Service Now Performance Analytics, or similar reporting platforms.
  • Strong understanding of KPI development, trend interpretation, and performance measurement.
Data Analysis
  • Advanced proficiency in Excel, including pivot tables, lookups, formulas, and data summarization techniques.
  • Experience working with SQL or other data extraction/querying tools preferred.
  • Ability to validate data quality, identify anomalies, and generate insights from large and complex datasets.
Communication and Collaboration
  • Excellent verbal, written, and presentation skills.
  • Ability to tailor communication for technical teams, business partners, and senior leadership.
  • Strong collaboration and facilitation skills in matrixed environments with multiple stakeholders and priorities.
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