Ascension LLC is a small, woman-owned, SBA-certified EDWOSB and SDB management consulting and technology services firm supporting federal, state, and commercial clients in program management, data analytics, business process improvement, performance reporting, and technology-enabled operations support. Ascension’s work includes data cleansing, analytics, visualization, KPI development, dashboard development, reporting, SharePoint/Power Platform support, and performance measurement for federal mission support environments. Ascension’s prior work includes developing dashboards, scorecards, KPIs, reports, data visualizations, and performance analytics to help federal leaders interpret trends, manage program performance, and make evidence-informed decisions.

Position Summary

Ascension is seeking a Data Analyst / Performance Measurement Analyst to support a federal education evaluation effort focused on the next cycle of Regional Educational Laboratories and Comprehensive Centers. This role will support extant data analysis, baseline and change-over-time tracking, technical report exhibits, derivative product visuals, and data/code documentation.

The ideal candidate is a highly organized, detail-oriented analyst who can clean and integrate performance measurement data, create repeatable analytic files, develop tables and figures, and translate complex findings into clear visuals and narrative-ready insights. This is not intended to be a senior evaluation methodology ownership role. Instead, the position is best suited for an experienced data analyst who can work under the direction of the evaluation lead, senior statistician, and/or project director to produce reliable analysis outputs, support annual or periodic reporting cycles, and help ensure data products are accurate, reproducible, and useful for decision-making.

This role aligns closely with Ascension’s Business Data Analyst III labor category, which includes data analysis, entry, aggregation, reporting, dashboard development, KPI briefings, decision-support models, and visual narratives. Ascension’s GSA MAS schedule lists Business Data Analyst III with a bachelor’s degree and 6 years of experience, with a Year 5 ceiling rate of $122.15/hour.

Role Purpose

The Data Analyst / Performance Measurement Analyst will help the project team turn performance measurement data, administrative data, survey data, and evaluation outputs into clean analytic datasets, usable tables, visual exhibits, dashboards, and supporting documentation. The position will support tasks associated with extant data analysis, baseline measurement, change-over-time tracking, technical report exhibits, derivative product data visuals, and data/code support.

The analyst will help ensure that project leadership has timely, accurate, and well-documented data products to support technical reports, derivative products, briefings, annual analysis cycles, and continuous improvement findings. This role is critical because the customer is seeking regular, actionable results that can be used for program improvement, not only end-of-cycle reporting.

Anticipated Day-to-Day Activities

The Data Analyst / Performance Measurement Analyst will be expected to:

• Clean extant performance measurement data from multiple sources, including APRs, AERs, stakeholder feedback surveys, administrative files, tracking spreadsheets, and other evaluation-related datasets.
• Integrate data from multiple sources into structured analytic files that support baseline analysis, longitudinal tracking, subgroup comparisons, and recurring annual analyses.
• Develop data dictionaries, variable crosswalks, file inventories, and documentation to support reproducibility and quality assurance.
• Create tables, charts, figures, dashboard views, and visual exhibits for technical reports, derivative products, briefings, and stakeholder-facing materials.
• Support baseline and change-over-time analyses to help the evaluation team assess trends in satisfaction, service access, collaboration, service alignment, client experience, and performance outcomes.
• Apply established analytic specifications provided by the senior statistician, evaluation methodologist, or project director.
• Conduct quality checks on data files, calculations, figures, and report exhibits to identify missing values, outliers, inconsistencies, duplicate records, and logic errors.
• Document analytic decisions, data transformations, assumptions, and limitations in a clear and audit-ready manner.
• Prepare charts and exhibits that communicate findings in plain language for technical and non-technical audiences.
• Maintain organized project folders, version-controlled analytic files, code files, and working datasets in accordance with project data management requirements.
• Support data/code deliverables by preparing final datasets, statistical code, syntax files, output files, and documentation for government review.
• Collaborate with evaluation, research, data collection, and reporting staff to ensure that data products align with research questions, deliverable requirements, and reporting timelines.
• Assist with data visualizations for derivative products, including one-pagers, briefing visuals, dashboards, trend summaries, and public-facing materials.
• Participate in internal quality control reviews to confirm that tables, figures, and narrative findings are traceable to source data.
• Use Microsoft Excel, Power BI, Tableau, R, SAS, SPSS, Stata, Python, SharePoint, Microsoft Teams, and/or secure federal data environments, as applicable to the project.