Data Analyst

• Maintain the KPI standards for Customer Support: document how each metric is calculated and interpreted, keep definitions current across data platforms, and flag to leadership when targets may need adjustment.
• Build and maintain dashboards in Omni Analytics (our BI platform) that serve analyst, manager, and leadership audiences; maintain the semantic layer and metric definitions so every team measures the same things the same way.
• Produce formal analyses and recommendations on volume trends, resolution efficiency, CSAT, contact rate, and cost performance; frame findings in terms of business impact, not just numbers.
• Identify anomalies and performance gaps in Support data; bring a recommended course of action to leadership rather than a flag, and track the response through to resolution.
• Consult on SQL, Snowflake, and BI standards used for Support reporting; ensure Support modeling approach, query patterns, and tooling match organizational standards.
• Lead metric alignment conversations with Data, Product, and Engineering; represent Support's analytical interests and keep shared definitions from drifting.
• Triage and scope ad hoc analysis requests from across the organization; exercise judgment on urgency, feasibility, and which questions are worth answering.

• 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

• Provide meaningful business value through data visualizations
• Design, develop, and maintain interactive dashboards and reports using Power BI, Google Looker Studio, and Tableau.
• Collaborate with enterprise data analysts and data engineers to identify and acquire data, build data preparation workflows, govern, secure, and share data assets.

Junior Data Analyst

• Partner closely with national security clients and stakeholders to understand business needs, gather requirements, and support day to day account operations.
• Coordinate efforts across multiple offices to streamline business processes, identify pain points, and help teams adopt more efficient, reliable ways of working.
• Leverage data and AI enabled tools (SQL, Tableau, PowerApps, Salesforce CRM, etc.) to support account operations, organize information, and improve visibility for client teams.
• Help clients strengthen their data practices by assisting with validation, quality checks, documentation, and consistent operational standards.
• Translate leadership and client questions into practical analytical approaches that inform business decisions and highlight relevant trends.
• Prepare clear summaries, reports, and supporting documentation that enable clients and leadership to make timely, informed decisions.
• Guide non-technical audiences on how to use their organization’s data effectively to respond to fast turn requests and operational needs.

Business Operations, Data Analyst

• 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

• Conduct thorough research and identify data sources on science, technology, and innovation trends
• Create and clearly communicate results of analysis for distribution within and outside the department
• Identify data sources and create digital and visual content that communicates policy on science, technology, and innovation issues
• Additional visualizations will be presented for science diplomacy programs
• Format of visualizations will be both interactive (on ISTIX) or stagnant (paper or presentations)
• Work with client stakeholders and bureaus and interagency partners to ensure written and visual content on ISTIX is up to date and factually accurate
• Support the onboarding and training of interagency users to the ISTIX
• Assist in efforts to advance science diplomacy through various activities

Data Analyst, Visual Content

• Conduct regular quality assurance checks on both master and transactional data to ensure data elements are established and used correctly
• Connect with field owners and/or business users to make corrections when required
• Update and maintain Financial Architecture & Innovation documentation (QA statistics/trends, risk log) in relation to data schema and process changes
• Maintain customer relationships as Financial Architecture & Innovation Department’s point person to Finance and extended Finance users fielding questions on the setup and usage of the management accounting structure
• Develop dashboards to track delivery of FinTech workstream’s system and process enhancements
• Collaborate with finance partners to develop and track against strategic divisional KPIs
• Maintain statistics on financial coding helpdesk requests by type, requestor, level of effort, and response time
• Provide ad-hoc reporting as needed to support Finance division strategic goals
• Assist with creating and configuring financial attributes and relationships to support the management accounting structure
• Triage and respond to helpdesk tickets on the Jira Service Management ticketing system monitoring for timely response and closure
• Follow written policies and procedures related to creation, maintenance, and closure of financial attributes and relations
• Propose changes for improved efficiency/clarity
• Support analysis of data feeds from the financial system of record (Unit4 ERP aka Agresso) to other systems as needed

Lead Associate, Data Analyst – Financial Architecture, Innovation

• Provide strategic data analysis support for U.S. Government financial crime and illicit finance investigations by preparing, analyzing, and interpreting large financial and investigative data sets related to money laundering, terrorist financing, proliferation financing, cyber‑enabled financial crime, and other illicit activity.
• Support investigations by preparing, cleansing, structuring, and validating large financial and investigative data sets collected through special authorities and other sources to ensure data quality, integrity, and usability.
• Perform data analysis to identify patterns, trends, typologies, and investigative leads related to illicit finance, supporting both known targets and the identification of new investigative targets.
• Pair and integrate BSA‑derived data with other data sources, including open‑source information, financial data, and information provided by government or law enforcement partners, to enhance analytical insight.
• Conduct documented and repeatable analytical workflows, ensuring methods, assumptions, and outputs are clearly recorded and reproducible by others.
• Support investigators by translating analytical results into clear written findings, visualizations, or briefing materials in support of investigative and policy decisions.
• Utilize government‑provided analytical tools and environments to query, analyze, and visualize financial transaction data.
• Maintain accurate documentation of analytical work, support tracking and reporting requirements, and contribute to quality control processes for analytical deliverables.
• Collaborate closely with investigators and government counterparts to align analytical efforts with investigative priorities and mission needs.

Financial Investigations Data Analyst

• Provide direct operational support for ongoing, high-priority action items for the program leadership team.
• Produce regular status reports, pivot tables, and data visualizations to demonstrate progress on key initiatives.
• Develop and maintain data models to collect, review, and analyze data related to program-level issues and risks.
• Analyze workflows and data to identify insights and trends related to EHR implementation challenges.
• Create clear, compelling data visualizations (charts, graphs, dashboards) that communicate status and performance to a senior audience.
• Assist in the development and documentation of process flows and governance models for managing priority items.
• Support collaboration and data sharing between different program teams.

• drive scalable solutions to improve efficiency and productivity across the AMER Business Development organization
• leverage technical background to model ROI and quantify impact
• optimize technology usage within Salesforce to support outbound BDR motions
• identify challenges and deliver data-driven solutions
• write efficient SQL queries to extract and manipulate large datasets
• build and maintain Tableau dashboards to visualize key performance metrics
• partner with business stakeholders to translate requirements into data models
• ensure data accuracy and integrity through validation and monitoring
• support ad hoc data requests and analysis to inform strategic initiatives
• create and deliver executive-level presentations

Senior Data Analytics Analyst

• Technical Implementation: Design and implement automated cost monitoring, alerting, and optimization solutions across cloud platforms
• Develop and maintain cost allocation algorithms and tagging strategies for accurate cost attribution
• Build integrations between cloud billing APIs and internal cost management systems
• Create technical documentation and best practices for cost-efficient infrastructure patterns
• Collaborate with platform teams to implement cost optimization recommendations
• Engineering Excellence: Develop tooling and automation to support FinOps processes across fourteen product groups and eleven platform groups
• Build dashboards and reporting mechanisms for real-time cost visibility
• Implement cost guardrails and automated policies to prevent cost overruns
• Design scalable solutions for cost data collection, processing, and analysis
• Contribute to the TechOps Analytics Data Solution FinOps requirements
• Cross-functional Collaboration: Partner with product engineering teams to identify and implement cost optimization opportunities
• Work closely with Infrastructure Foundations Program to align technical solutions with FY27 Cost Reduction Program
• Support FinOps Working Group with technical expertise and implementation guidance
• Collaborate with Data Analytics Team on cost data pipeline development
• Provide technical input for FinOps capability development roadmap
• Continuous Improvement: Research and evaluate new cost optimization tools and techniques
• Contribute to FinOps governance structures and technical standards
• Mentor junior engineers on cost-conscious engineering practices
• Stay current with cloud platform pricing changes and optimization opportunities

Engineer III – Data Analytics

• Support the clean water group
• Analyze metrics of success and develop data-driven insights
• Communicate recommendations in a clear and compelling fashion
• Work with the end-client’s unique data to improve the effectiveness of water infrastructure implementation

Data Analyst II

• The Junior Data Analyst will work with the end-client’s unique data and translate it into high-quality and actionable insights and recommendations to improve the effectiveness of water infrastructure implementation.
• Analyzing metrics of success.
• Developing data-driven insights.
• Communicating recommendations in a clear and compelling fashion.

• Conducting rigorous analysis of relevant data sources to investigate, interpret, and produce actionable intelligence.
• Responding with agility to evolving priorities and requirements, effectively managing and prioritizing tasks to maximize efficiency.
• Developing and delivering high-impact, professional solutions tailored to the needs of the customer
• Applying a deep understanding of customer’s objectives, challenges, and risks to design and deliver optimal solutions.
• Collaborating cross-functionally with internal stakeholders to support strategic planning and the development of future solutions.
• Making empowered, timely well-informed decisions based on available data, situational context, and customer requirements.
• Maintaining comprehensive knowledge of both internal and external data sources, ensuring accuracy and relevance in all analyses.
• Proactively supporting colleagues and leadership in strengthening relationships with customers and internal stakeholders to drive service solutions and positive business outcomes.
• Developing and sustaining strong customer relationships by advising on best practices, procedures, and methodologies to promote engagement and customer advocacy.
• Delivering clear, concise, and timely communications aligned with business standards to key internal stakeholders and external customers.

Senior Data Analyst

• Proactive, technically-grounded analysis of sales motion and revenue operations.
• Building strong cross-functional relationships to drive alignment on key business objectives.
• Translating business requests into rigorous, reproducible analysis using AI tools to enhance workflow.
• Delivering findings to both technical and non-technical audiences.

Data Analyst – Revenue Ops

• Plan, develop, and conduct analysis of overdose surveillance data and data related to overdose prevention efforts.
• Full life cycle activities of data analytics to include data cleaning, developing analysis and reporting capabilities, and linking databases and data sets.
• Continuously monitoring performance and quality control plans to identify improvements in models.
• Perform data management activities, data cleaning and statistical analysis.
• Produce and analyze reports for monitoring and evaluating overdose surveillance and prevention activities.
• Collaborate with agency and external groups providing data analysis support and insight.
• Effectively communicate information regarding Overdose Surveillance and Prevention Program data.
• Collate data and compile into meaningful graphs and data visualizations.
• Coordinate results and feedback regarding all results from testing of items during hospital admissions.
• Aid in the compilation, analysis, and dissemination of collected data pertaining to opioid testing and surveillance.
• Assist in providing detailed and timely reports as to current trends on drug supply and overdose trends.

• Analyze data, as well as contribute to the design, implementation, and delivery of analytics products and services
• Support the team in building predictive models, tools, and data visualizations
• Check data and modeling results for quality and clean, transform, aggregate, and report on data as needed
• Collaborate with engineers, data scientists, program managers and external stakeholders to troubleshoot problems and proactively create solutions
• Strive to support team excellence by documenting processes and evangelizing new approaches
• Work both independently and as part of a team to deliver accurate products on short deadlines
• Such other reasonable tasks as assigned by management.

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