• Analyze ITAM data related to hardware assets, software assets, inventory accuracy, software license compliance, asset utilization, refresh cycles, lifecycle cost, and data quality. • Develop dashboards, reports, visualizations, and recurring data products to support program performance monitoring and leadership decision-making. • Collect, clean, validate, reconcile, and interpret data from ITAM tools, CMDBs, ServiceNow reporting, asset repositories, spreadsheets, and other program data sources. • Identify trends, gaps, anomalies, inconsistencies, and improvement opportunities within ITAM datasets and reporting processes. • Support development and tracking of ITAM performance metrics, key performance indicators, compliance measures, and operational reporting requirements. • Prepare clear summaries, charts, tables, data narratives, and briefing materials that communicate findings to technical and non-technical stakeholders. • Support strategic planning, process optimization, governance, compliance, and audit readiness activities through quantitative analysis and data-driven insights. • Assist with data calls, ad hoc analyses, oversight inquiries, and leadership requests related to ITAM performance, asset visibility, software compliance, or operational readiness. • Work with program managers, analysts, subject matter experts, and government stakeholders to define data requirements, validate assumptions, and refine reporting outputs. • Maintain organized data files, reporting documentation, assumptions, methodologies, and quality control procedures to support repeatable analysis and traceability. • Recommend opportunities to improve ITAM reporting, data governance, dashboard design, and data quality management.

Role Description Gritter Francona is seeking an IT Asset Management Research & Data Analyst to support a federal Information Technology Asset Management (ITAM) program. This role will provide data analysis, reporting, dashboarding, and performance measurement support for an enterprise ITAM effort focused on improving asset accountability, lifecycle visibility, data quality, compliance, and operational decision-making. The Research & Data Analyst will analyze ITAM-related data across hardware asset management and software asset management workstreams, develop reports and visualizations, identify trends and anomalies, and support data-driven recommendations for program leadership. The ideal candidate is a strong data analyst who can work with large or complex datasets, translate data into clear insights, and produce accurate, client-ready reporting products. Responsibilities - Analyze ITAM data related to hardware assets, software assets, inventory accuracy, software license compliance, asset utilization, refresh cycles, lifecycle cost, and data quality. - Develop dashboards, reports, visualizations, and recurring data products to support program performance monitoring and leadership decision-making. - Collect, clean, validate, reconcile, and interpret data from ITAM tools, CMDBs, ServiceNow reporting, asset repositories, spreadsheets, and other program data sources. - Identify trends, gaps, anomalies, inconsistencies, and improvement opportunities within ITAM datasets and reporting processes. - Support development and tracking of ITAM performance metrics, key performance indicators, compliance measures, and operational reporting requirements. - Prepare clear summaries, charts, tables, data narratives, and briefing materials that communicate findings to technical and non-technical stakeholders. - Support strategic planning, process optimization, governance, compliance, and audit readiness activities through quantitative analysis and data-driven insights. - Assist with data calls, ad hoc analyses, oversight inquiries, and leadership requests related to ITAM performance, asset visibility, software compliance, or operational readiness. - Work with program managers, analysts, subject matter experts, and government stakeholders to define data requirements, validate assumptions, and refine reporting outputs. - Maintain organized data files, reporting documentation, assumptions, methodologies, and quality control procedures to support repeatable analysis and traceability. - Recommend opportunities to improve ITAM reporting, data governance, dashboard design, and data quality management. Qualifications - Bachelor’s degree. - Minimum of 6 years of relevant experience. - Experience performing data analysis, reporting, dashboard development, or performance measurement for IT, operations, business, or management consulting programs. - Experience collecting, cleaning, validating, reconciling, and analyzing structured data from multiple sources. - Experience developing reports, dashboards, data visualizations, charts, tables, and written summaries for client or leadership audiences. - Strong analytical skills with the ability to identify trends, issues, outliers, data quality concerns, and actionable insights. - Strong written and verbal communication skills, including the ability to explain data findings clearly to technical and non-technical stakeholders. - Proficiency with Microsoft Excel and Power BI. - Experience with SQL, Tableau, Python or R, ServiceNow reporting, CMDBs, and asset repositories. - U.S. citizenship required. Preferred Qualifications - Experience supporting Department of Veterans Affairs or other federal civilian agency programs. - Experience supporting IT Asset Management, Hardware Asset Management, Software Asset Management, IT governance, IT service management, enterprise IT operations, or IT modernization programs. - Experience analyzing ITAM metrics such as asset utilization, inventory accuracy, software license compliance, refresh cycle optimization, lifecycle cost, and data quality. - Experience supporting audit readiness, compliance reviews, data calls, GAO, OIG, Congressional, or other oversight-related responses. - Familiarity with ITAM data sources, asset lifecycle processes, CMDB concepts, software license reporting, or hardware inventory reconciliation. - Experience developing executive-level dashboards, recurring status reports, performance scorecards, or operational reporting packages. - Experience documenting data assumptions, methodologies, quality checks, and reporting procedures. - Experience working in remote delivery environments with geographically dispersed teams. Benefits - Health Care Plan (Medical, Dental & Vision) - Retirement Plan (401k, IRA) - Life Insurance (Basic, Voluntary & AD&D) - Paid Time Off (Vacation, Sick & Public Holidays) - Short Term & Long Term Disability - Training & Development

• Profile, cleanse, and reconcile outage notification data from email/PDF samples, carrier templates, RDS PostgreSQL tables, S3 landing zones, and exported operational datasets. • Support AI extraction evaluation loops by comparing model output to human-labeled gold data across severity, notification type, service affected, service layer, root cause, lifecycle, carrier type, verification, and state/geography fields. • Develop SQL queries, Python/pandas analysis scripts, and repeatable QA checks that measure extraction accuracy, completeness, timeliness, duplicates, alert eligibility, and carrier-level data quality. • Build dashboard-ready datasets and reporting marts for executive dashboards, national heat maps, carrier scorecards, trend summaries, compliance reports, and crisis-center/state-coordinator operational views. • Partner with the Data Architect on canonical data models, metric dictionaries, lineage notes, source-to-target mappings, row-level security rules, and dashboard acceptance criteria. • Create and maintain QuickSight, Power BI, Tableau, or equivalent BI artifacts depending on the approved platform, including KPI definitions, filters, drilldowns, and test cases. • Analyze grant lifecycle and federal operations data where needed, including eRA/PMS exports, SharePoint trackers, NOFO workflow data, SAM.gov/DNP verification outputs, and manually reconciled spreadsheets. • Support UAT by preparing test data, validating dashboard numbers with stakeholders, triaging data defects, and translating user feedback into backlog-ready analytical requirements. • Document repeatable runbooks for data validation, dashboard refreshes, exception handling, and production reporting operations. • Contribute evidence and documentation for federal security, privacy, and ATO reviews, including audit trails, data handling assumptions, and data quality controls.

Role Description The Impact Data Analyst ensures Kiva effectively realizes its impact strategy by overseeing the management and analysis of Kiva’s impact data. Responsibilities include: - Maintaining databases for impact data and evidence. - Ensuring data is organized, clean, and effectively analyzed for insights and utilization. - Joining Kiva’s impact team responsible for impact strategy, frameworks, and operationalization. - Reporting to the Senior Director of Impact and interacting closely with the investments team. - Providing consistent, accurate, and timely impact data to guide investment decisions. - Working with the Senior Impact Manager and Senior Director of Impact on monitoring and evaluation. - Maintaining Kiva’s impact data sets and ensuring key dashboards are up to date. - Assisting the Investments and Strategic Partnerships teams with grants and funds reporting. - Supporting regular reporting and ongoing requests for impact data and insights. Qualifications - 3 to 5 years work experience in impact data management and analytics, monitoring and evaluation, and/or international development with a quantitative focus. - Passion for impact measurement. - Strong data analysis skills, particularly using Excel/Sheets, Looker, or PowerBI. - Strong data visualization and presentation skills. - Ability to work independently. - Capacity to handle multiple tasks and prioritize effectively. - Experience in a start-up or other fast-paced environment. Requirements - Undergraduate degree in Economics, Political Science, Government, Data Analytics, Mathematics, International Development, or International Relations (preferred). - Knowledge of R, Python, SPSS, Stata or other statistical language (preferred). - Microfinance, Impact Investing, impact monitoring, or impact evaluation experience (preferred). - Experience in data visualization or data dashboard tools such as Tableau, Looker, Power BI, Google Data Studio, or Salesforce (preferred). Benefits - A work-from-home position; final candidate must be authorized to work in Colombia. - An opportunity to improve real lives, solve hard problems, and change the world. - Friendly, supportive, and adventurous environment with a team of engaged colleagues. - A comprehensive, industry-leading benefits package including health, dental, and vision insurance, parental leave, professional development, and unlimited PTO. - JOON, a flexible lifestyle spending account for Wellness, Professional Development, or Working from Home. - Opportunities to connect with and learn from colleagues and partners around the world. - A diverse and inclusive workplace that welcomes people of different backgrounds, experiences, abilities, and perspectives.