Data Analyst

• 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.

• Analyzing structured and unstructured data from MESH and integrated CMS systems (MBES, MacFin, T-MSIS, SPoTT, CMCS DataConnect) to surface insights about state Medicaid program funding, performance, compliance, and modernization
• Designing, building, and maintaining interactive dashboards and reports in Power BI and Salesforce reports/dashboards that consolidate financial, operational, certification, and compliance data into a single workspace for CMS reviewers and leadership
• Supporting Master Detailed Budget Table (MDBT) modernization by reconciling and validating historical and current MDBT data, including line-item mapping across legacy and current formats and verification of total computable, state-share, and federal-share calculations
• Profiling and validating data ingested from spreadsheets (Excel, CSV), documents (PDF, Word), APIs, and enterprise datasets to ensure accuracy, completeness, and alignment with CMS data-governance standards
• Translating CMS reviewer and leadership questions into well-defined analytic requirements, data queries, and visualizations; iteratively refining outputs based on stakeholder feedback
• Documenting data lineage, business definitions, calculation logic, and dashboard methodology in the MESH knowledge base and Confluence to support transparency and auditability
• Partnering with engineering to define data-quality rules, anomaly detection criteria, and automated reconciliation logic that flag funding decreases, mismatched FFP rates, and other discrepancies
• Producing ad-hoc data extracts, briefings, and analyses for CMS leadership in support of Congressional inquiries, audits, briefings, and policy decisions, often on short turnaround
• Supporting Section 508 compliance for all dashboards, reports, and visualizations including color-contrast, alternative text, and assistive-technology compatibility
• Collaborating with the AI/ML team to validate AI-generated submission analysis outputs, monitor model drift, and confirm explainability of recommendations presented to CMS reviewers
• Participating in agile ceremonies, contributing user stories and acceptance criteria for analytics and reporting features, and demonstrating completed work to CMS Product Owners
• Maintaining clear, current documentation of dashboards, KPIs, and methodologies to enable hand-off and continuity in line with CMS transition requirements

• Support the Data Center of Excellence (Data COE) team across five key areas: documentation of data processes and reporting logic, exploratory data analysis beyond standard grant reporting, data pipeline and dashboard cleanup and maintenance, qualitative data capture from member research and surveys, and general research to support grant strategy and benchmarking.
• Draft and refine plain-language documentation of how metrics are calculated, data is cleaned, and reports are generated for grant programs.
• Develop step-by-step guides for updating and maintaining Power BI dashboards and grant reporting processes.
• Perform exploratory analysis on grant data (e.g., credential and placement outcomes, wage trends, training impact) and prepare summary findings for the team.
• Assist with data quality checks, including identifying duplicates, missing values, and inconsistencies across datasets.
• Support data pipeline tasks such as validating outputs, documenting code logic, and assisting with light cleanup of Python notebooks.
• Synthesize qualitative feedback and patterns from member meetings, surveys, and program interactions into structured summaries.
• Conduct landscape research on how peer organizations handle subgrantee data reporting, metric definitions, and data collection practices.
• Support preparation of materials for internal and external stakeholder meetings as needed.

Intern, Data Analytics – Mission Data & Grants

• Lead and develop a team of managers and/or senior analytics professionals, ensuring strong capability development and succession planning.
• Define and execute the Quality Data Analytics strategy and roadmap aligned with enterprise priorities.
• Establish standards for analytics, reporting, and data governance across Quality functions.
• Oversee analytics supporting CAPA, complaints, audits, nonconformances, supplier quality, and post‑market surveillance.
• Ensure analytics outputs meet regulatory requirements (FDA QSR, ISO 13485, EU MDR, MDSAP).
• Serve as a key leader during regulatory inspections, owning analytics narratives and data defensibility.
• Partner cross‑functionally with Quality, Regulatory, Manufacturing, and IT leaders.
• Drive continuous improvement, automation, and adoption of advanced analytics techniques.
• Manage prioritization across multiple stakeholders and enterprise demands; and, Other duties as assigned.

Senior Manager, Quality Data Analytics

• Lead the day-to-day functions of a core Data & Analytics team providing centralized data coordination and data analysis services for a large research portfolio
• Directly oversee a small, dedicated team (including a Clinical Data Manager and a Data Management Analyst) supporting a robust portfolio of 65+ active multi-site research studies
• Manage the day-to-day data management and analysis pipeline
• Act as the Subject Matter Expert (SME) for internal and external stakeholders
• Execute on your own data management, quality control (QC), and data analysis activities
• Ensure the on-time execution of high-quality and compliant research, proper documentation of procedures, accurate data reporting, and assure real-time data access for the investigator(s) and staff
• Provide regular summaries and updates to Program Supervisor
• Plan and facilitate individual and team meetings
• Lead performance review processes for assigned data team staff
• Supervise the day-to-day activities of assigned data management & analytics team program staff
• Maintain oversight of data management and analysis needs across a large portfolio of clinical research studies, effectively delegating tasks and tracking project timelines
• Lead and mentor a team of data professionals
• Act as a hands-on backstop to execute technical tasks (e.g., database builds, QC cycles, dashboard creation) during team absences or high-volume periods
• Oversee the drafting, application, and compliance management of Data Sharing Agreements (DSAs) and Data Use Agreements (DUAs)

Data and Analytics Manager

• Analyze structured and unstructured data to identify trends, anomalies, and operational insights
• Write Python or R scripts to process, transform, and analyze data
• Perform exploratory data analysis (EDA) to uncover patterns and correlations
• Develop insight-driven summaries and recommendations for leadership
• Identify emerging risks, performance gaps, and opportunities for improvement
• Define data fields, data models, and analytical requirements based on real data
• Validate extraction logic and ensure data structures support reporting needs
• Collaborate with the Solution Architect to refine data schemas and ingestion outputs
• Ensure data quality, consistency, and analytical readiness
• Design and build dashboards using Power BI, Tableau, AWS QuickSight, or similar tools
• Propose meaningful KPIs, thresholds, and scoring logic
• Develop visualizations that support executive level situational awareness
• Translate analytical findings into intuitive, decision ready dashboards
• Participate in requirements workshops and stakeholder interviews
• Document analytical needs, reporting expectations, and data dependencies
• Provide insight-driven recommendations to guide system design and prioritization
• Support leadership with briefing materials and analytical narratives

Data Insights Analyst

• Collect, integrate, clean, and model data from multiple systems to support accurate analysis and reporting
• Analyze data to identify trends, risks, lifecycle status, technical debt, and system performance across service areas
• Develop dashboards and visualizations that clearly convey insights to technical and nontechnical audiences
• Recommend improvements to data processes, data quality, and workflow automation
• Track and report asset lifecycle data, project standings, schedules, and metrics supporting operational and tech refresh activities
• Prepare accurate datasets and analytical summaries to support forecasting, planning, and leadership decision making
• Respond to data requests and RFIs across engineering, operations, and tech refresh teams
• Produce high quality analysis artifacts and contribute to enterprise reporting and visualization products
• Analyze patching, compliance, and vulnerability data to identify noncompliant assets, track remediation progress, and support reporting requirements
• Produce weekly or monthly dashboards and metrics showing patch status, compliance trends, and security posture across systems and environments

Data Analyst – TS/SCI with Polygraph

• Partner with Program Directors to understand and define data analysis requirements
• Review project scopes of work and translate them into actionable task assignments
• Develop data analytics strategies to support proposal (RFP) responses
• Assess research and data needs to enhance transportation data analysis services
• Oversee data aggregation, validation, and review processes
• Interpret, translate, and present technical findings to stakeholders
• Lead, mentor, and inspire a team of data professionals to deliver high-quality solutions
• Define and execute vision, strategy, and architecture for data systems and analytics

EV Data Analysis Lead

• CREATES, MAINTAINS, and AUTOMATES highly complex data structures and operational reporting that includes business results, operations performance metrics and associate performance dashboards.
• OBTAINS, ANALYZES, and REVIEWS information needed to execute the design and development of reports.
• WORKS independently CREATING and MAINTAINING tools that support performance management and execution.
• RESEARCH and QUERY new systems and data to develop operational reporting.
• CONDUCTS testing and data validation of reporting and tools developed.
• PROVIDES analysis of business results with data-driven recommendations to support management, IDENTIFY insights that help DRIVE business decisions.
• IDENTIFIES new technology and innovative solutions to continually improve and automate reporting.
• ASSISTS with mentoring and training other analysts.
• SHARES best practices.
• ADHERES to the Code of Conduct, company policies, and operating principles.

Business Analytics Analyst III

• Support the conceptualization, execution, and integration of data-driven projects for commercial efforts in the pharmaceutical and life sciences industries.
• Drive innovation and creative solutions within various work streams, providing thought leadership.
• Lead project teams and play a pivotal role in guiding internal stakeholders toward project success.

Consultant, Data Analytics

• Develop dashboards, user interfaces, and reports in compliance with Section 508 accessibility standards.
• Design, test, and deploy interactive reports using Tableau, Power BI, R, Python, and other approved tools.
• Create custom calculations and apply filters for dynamic reporting.
• Design and maintain SharePoint custom solutions supporting communication and tracking.
• Assess and address data management issues and provide recommendations.
• Maintain quality control and compliance with dissemination, visualization, and security governance.
• Develop visual analytics for survey data and registration systems using approved tools.
• Gather, preprocess, and normalize data for visualization.
• Choose visualization types appropriate to data and objectives.
• Implement visualizations with programming languages or visualization libraries (R, D3, Python).
• Add interactive features to visualizations where required.
• Test and validate visualizations to ensure accuracy and usability.
• Optimize performance when working with large datasets.
• Participate in planning and stage-gate reviews under current policies and lifecycle standards.
• Provide feedback on data reuse and perform cleansing to remove duplicates.
• Give presentations to stakeholders on development activities.
• Deliver program documentation with purpose, programming steps, outputs, and accuracy assessments.
• Submit program code to the Technical Monitor with internal comments and documentation.

Data Visualization Analyst

• Assist in the design, development, and testing of RIViR software features
• Conduct research, prepares reports, and provides analytical support as needed
• Support daily project related functions, including feature assessment, checking in code, unit testing software components, and making software fixes
• Collaborate with team members on various tasks and contribute to team meetings
• Participate in departmental activities and provides input on ongoing projects
• Attend training sessions, workshops, or seminars to gain industry knowledge and develop relevant skills
• Seek feedback and mentorship from supervisors and colleagues to improve performance
• Investigate new engineering and analytical techniques to strengthen RIViR product features
• Apply creativity and innovative thinking to solve challenging technical and process related product capabilities

Software Engineering, Data Analytics Intern

• Own your opportunity to support national defense
• Play a key role in transforming complex operational, lifecycle, and technical data into actionable insights
• Analyze data trends, validate system information, enhance reporting processes
• Help advance automation and data quality efforts that support mission critical IT services
• Collect, integrate, clean, and model data from multiple systems to support accurate analysis and reporting
• Develop dashboards and visualizations that clearly convey insights to technical and non-technical audiences
• Recommend improvements to data processes, data quality, and workflow automation
• Track and report asset lifecycle data, project standings, schedules, and metrics supporting operational and tech refresh activities
• Prepare accurate datasets and analytical summaries to support forecasting, planning, and leadership decision making
• Respond to data requests and RFIs across engineering, operations, and tech refresh teams
• Produce high-quality analysis artifacts and contribute to enterprise reporting and visualization products
• Analyze patching, compliance, and vulnerability data to identify noncompliant assets, track remediation progress, and support reporting requirements
• Produce weekly or monthly dashboards and metrics showing patch status, compliance trends, and security posture across systems and environments

Data Analyst – TS/SCI, Polygraph

• Own your opportunity to support national defense
• Transform complex operational and technical data into clear, compelling visual insights that empower leadership decision making across globally distributed environments
• Design intuitive dashboards, visual products, and analytic displays that communicate trends, risks, and performance outcomes
• Create clear, modern data visualizations, dashboards, charts, tables, and maps that communicate insights effectively
• Translate analytical findings into static and interactive visual products using design tools and enterprise visualization platforms
• Combine analytical, artistic, and technical skills to produce graphics for briefings, reports, presentations
• Collect requirements, define project scope, outline technical summaries, and develop mockups for data visualization products
• Build, enhance, and automate dashboards and analytic products to support operational analysis
• Maintain a consistent, modern design aesthetic across all visualizations
• Prioritize and manage multiple visualization projects simultaneously

Data Visualization Analyst – TS/SCI, Polygraph

• Document client’s current reporting requirements derived from Oracle Federal Financials data
• Work with Finance staff to identify reports consumed across AP, AR, GL, and procurement functions
• Evaluate Core FS solutions’ reporting features and determine the degree of alignment with client’s needs
• Identify reporting functions that can be supported with minimal change, significant rework, or are unsupported
• Collaborate with Federal Accountants and the Financial Systems Analyst to assess gaps in reporting capabilities
• Recommend approaches to address rework and unsupported reporting functions
• Support development of gap reports, additional features reports, and Core FS summaries by providing reporting/data perspectives
• Assist in assessing agency-specific reporting customization and data extraction flexibility
• Contribute to the identification of reporting-related performance service measures appropriate for client’s financial processes
• Work closely with the Project Manager and client’s Finance staff during interviews, workshops, and review sessions
• Prepare written analyses, visualizations, and input for weekly meetings, monthly status reports, and deliverable submissions

Reporting, Data Analyst

• Independently lead complex, ambiguous analytics claims initiatives from problem definition through delivery, with clearly defined business outcomes and successful metrics.
• Translate unclear stakeholder requests into structured hypotheses, analytical frameworks, and decision-ready insights for senior leadership.
• Own the end-to-end design and delivery of complex claims analytical data models and high-impact Power BI dashboards, delivering clear, usable insights through strong storytelling and thoughtful design.
• Write and optimize SQL queries to extract and transform claims data from enterprise sources, solving ambiguous analytical problems through deep root-cause analysis and insight generation.
• Lead sophisticated analytical problem-solving using DAX, statistical methods, and trend analysis.
• Ensure analytical rigor, data integrity, and governance across all owned datasets and reporting solutions.

Senior Claims Data Analyst

• Assist in the design, development, and testing of RIViR software features assigned by project managers and team leads.
• Conducts research, prepares reports, and provides analytical support as needed.
• Support daily project related functions functions, including feature assessment, checking in code, unit testing software components, and making software fixes.
• Collaborate with team members on various tasks and contribute to team meetings.
• Participates in departmental activities and provides input on ongoing projects.
• Attend training sessions, workshops, or seminars to gain industry knowledge and develop relevant skills.
• Seek feedback and mentorship from supervisors and colleagues to improve performance.
• Investigate new engineering and analytical techniques to strengthen RIViR product features.
• Apply creativity and innovative thinking to solve challenging technical and process related product capabilities.

Summer Intern – Software Engineering and Data Analytics

• Lead development and execution of advanced data analysis and analytical methodologies to support mission and enterprise use cases
• Analyze large, complex datasets to identify trends, patterns, anomalies, and insights
• Develop and maintain data models, analytical frameworks, and statistical analyses to support decision-making
• Design and deliver dashboards, visualizations, and reports to communicate analytical findings
• Collaborate with data engineers, data scientists, and AI/ML engineers to support integrated data solutions
• Define data requirements and ensure data quality, consistency, and integrity across systems
• Support development of enterprise data products and analytics capabilities
• Apply advanced analytics techniques including statistical analysis, predictive modeling, and exploratory data analysis
• Support integration of analytics into DevSecOps pipelines and operational workflows
• Provide technical guidance and recommendations to improve data analysis processes and outcomes
• Support customer use case analysis and translate analytical findings into actionable recommendations
• Develop and maintain documentation for analytical methods, data sources, and reporting processes
• Participate in SAFe ceremonies including PI Planning, backlog refinement, sprint reviews, and retrospectives.

SME Data Analyst

• Work with clients and peers to build a high performing system using Elastic to aggregate logs from many systems into a single common schema
• Use Elastic Common Schema (ECS) formatted fields, create quality visualizations and alerts that analyst can use for threat hunting
• Maintain infrastructure, and identify problems or anomalous behavior before they become a larger issue and can be actioned on
• Work with the vendor to determine best practices for deployment and maintenance of system architecture and deploy within designated security requirements

Data Analytics Engineer

• Manage, sustain, and optimize containerized analytics environments
• Responsible for administration of Kubernetes-based infrastructure
• Collaborate with data engineers, platform architects, cybersecurity personnel
• Ensure availability, security, and performance of data analytics services
• Leverage strong troubleshooting skills in high-demand environments

See all jobs on JobTailor

Data Analyst

Data Analyst

Intern, Data Analytics – Mission Data & Grants

Senior Manager, Quality Data Analytics

Data and Analytics Manager

Data Insights Analyst

Data Analyst – TS/SCI with Polygraph

EV Data Analysis Lead

Business Analytics Analyst III

Consultant, Data Analytics

Data Visualization Analyst

Software Engineering, Data Analytics Intern

Data Analyst – TS/SCI, Polygraph

Data Visualization Analyst – TS/SCI, Polygraph

Reporting, Data Analyst

Senior Claims Data Analyst

Summer Intern – Software Engineering and Data Analytics

SME Data Analyst

Data Analytics Engineer

Data Analytics Platform Kubernetes Administrator