Monitoring & Data Analyst

Capstone Analytic is seeking a Performance Monitoring & Data Analyst to support federal health IT portfolio management, financial planning, acquisition support, performance analysis, and executive decision-making. This role is designed for a technically strong analyst who can take ownership of data collection, extraction, organization, validation, analysis, and insight generation across complex portfolio environments.

The Performance Monitoring & Data Analyst will reduce the data burden on cost estimators, cost engineers, FP&A managers, and senior operations research analysts by performing the detailed analytical work needed to support portfolio strategy and decision-making. This includes working with cost, schedule, performance, value, contract, operational, financial, and technical data.

This position is ideal for someone who is comfortable working with unfamiliar datasets, incomplete explanations, inconsistent sources, and evolving analytical questions.

The successful candidate must be able to ask the right questions, document assumptions, identify patterns, validate findings, and go to the appropriate stakeholders to understand what the data means. This role will focus on rigorous analytical work and insight development.

Collect, extract, clean, organize, validate, and analyze data from multiple financial, acquisition, schedule, performance, operational, contract, and technical sources.

Support portfolio performance monitoring by developing datasets, recurring metrics, analytical outputs, and insight summaries that help leadership understand portfolio health, value delivery, risks, and trends.

Analyze cost, schedule, performance, and value data to identify patterns, anomalies, gaps, dependencies, risks, and emerging issues.

Support cost estimators, cost engineers, FP&A managers, and ORSAs by performing detailed data analysis required for portfolio reviews, investment analysis, gap assessments, roadmaps, performance monitoring, and decision support.

Build and maintain structured datasets, data dictionaries, metric definitions, mapping tables, trackers, source documentation, and analytical workbooks.

Develop repeatable data collection and validation processes that reduce manual burden and improve consistency across recurring portfolio analysis.

Work with unfamiliar or poorly documented data sources to determine meaning, relevance, reliability, limitations, and appropriate analytical use.

Identify data integrity issues, inconsistent definitions, missing values, duplicate records, reconciliation gaps, and source conflicts.

Document assumptions, business rules, data transformations, source limitations, reconciliation logic, and analytical methods.

Support development of performance metrics that measure cost, schedule, operational performance, value realization, investment outcomes, risk, delivery progress, and portfolio alignment.

Conduct exploratory analysis to identify meaningful relationships across multiple data sources and capability areas.

Develop analytical outputs such as tables, charts, pivot models, trend analyses, variance analyses, data summaries, metric packs, and structured findings.

Support analysis of planned versus actual performance, funding versus execution, estimated cost versus actual cost, schedule progress, capability delivery, and benefit realization.

Work with stakeholders to clarify data meaning, resolve discrepancies, validate assumptions, and identify the right source of truth.

Coordinate with financial analysts, cost estimators, cost engineers, FP&A managers, ORSAs, acquisition professionals, technical teams, program managers, and product stakeholders.

Support dashboard and reporting development by preparing reliable datasets, metric logic, and analytical inputs.

Help identify whether portfolio performance issues are driven by cost, schedule, scope, execution, data quality, adoption, technical constraints, contracting issues, or other underlying causes.

Translate raw data into clear analytical insights that can be further shaped into executive-ready recommendations by senior team members.

Support ad hoc analysis, rapid-turn data calls, recurring reporting cycles, and portfolio performance reviews.

Maintain strong analytical rigor, quality control, and traceability across all work products.

Operate effectively in a fast-paced client environment with evolving requirements, incomplete data, and high expectations for accuracy and responsiveness.

Capstone Analytic is a fast-growing…