• Perform data analysis and cross-reference information to generate insights • Conduct statistical analyses and data modeling • Build datasets for inclusion in dashboards

Title: Hr Data Analyst Location: Reston United States Systems & Software 90000 USD - 125000 USD/hour Job Description: Job Title: HR Data Analyst | Fully Remote | $125k/yr Job Description This HR Data Analyst role supports a federal human capital organization by delivering advanced workforce analytics, reporting, and data-driven insights. You will extract, analyze, and translate HR data from multiple federal systems into clear, executive-level insights that inform workforce planning, hiring strategies, and organizational performance. The position focuses on transforming complex HR datasets into actionable information that supports leadership decisions and continuous improvement across human capital operations. Responsibilities - Support workforce analytics initiatives by collecting, analyzing, and interpreting federal Human Resources data from systems such as NFC, HRConnect, USA Staffing, and other federal HR platforms. - Develop and maintain dashboards and reports that track key HR metrics, including hiring timelines, attrition, workforce demographics, and onboarding progress. - Build dynamic tools in Excel, Power BI, or similar platforms that allow real-time updates and adjustments during executive briefings and leadership meetings. - Provide recurring and ad hoc data analysis to support HR data calls, audits, and reporting requirements, and clearly demonstrate the outcomes and implications of the analysis. - Extract, normalize, and organize historical HR data from federal systems and portals such as the National Finance Center (NFC), HR Connect, USA Staffing, and Enterprise Services Portal. - Track, collect, and develop datasets that support HR audits, payroll reviews (A-123), and performance reporting requirements. - Translate complex HR datasets into clear, concise, and visually compelling presentations and dashboards for senior leadership. - Convert technical HR terminology and federal HR processes into plain-language insights that non-HR stakeholders can easily understand and act upon. - Assist in end-to-end hiring analytics, including pipeline tracking, onboarding timelines, and process optimization, and identify inefficiencies while recommending data-driven improvements. - Support continuous improvement initiatives through data analytics that align with agency HR and management goals. - Respond rapidly to changing requirements, shifting priorities, and emergent leadership requests for HR data and analysis. - Collaborate closely with HR teams, program offices, and leadership to refine analytics needs, clarify requirements, and deliver tailored analytical products. - Provide on-the-spot data adjustments, recalculations, and analysis during meetings using tools such as HRConnect, NFC, USA Staffing, and Microsoft Excel. - Pull, clean, and manipulate large datasets for data calls, convert raw data into ratios, percentages, and metrics suitable for executive briefings, and create searchable Excel workbooks. - Combine and reconcile multiple datasets into a single, coherent data call response, ensuring consistency, accuracy, and clarity. - Leverage AI tools, such as Copilot, where appropriate to support analytics, automate formulas, and improve efficiency in data processing and reporting. Essential Skills - Minimum of 4 years of experience supporting federal HR data calls, audits, and reporting requirements, including translating complex HR and workforce data into clear, actionable insights for senior leaders. - Strong understanding of federal HR processes, including hiring, onboarding, personnel actions, and workforce planning. - Advanced expertise in Microsoft Excel, including pivot tables, advanced formulas, and data modeling. - Proficiency with SQL, including writing queries and formulas to extract, join, and analyze data from multiple sources. - Experience building interactive dashboards using tools such as Excel, Power BI, Tableau, or similar platforms. - Demonstrated ability to manipulate and analyze large datasets, summarize numerical and quantifiable data, and provide usable information for decision-makers. - Experience pulling large data sets for data calls and converting raw data into ratios, percentages, and analytics suitable for executive-level briefings. - Ability to create Excel sheets and workbooks where data can be easily searched, filtered, and updated. - Familiarity with federal HR systems such as NFC (National Finance Center), HR Connect, USA Staffing (USAS), and other federal HR platforms. - Experience combining multiple datasets into a single, accurate data call response. - Strong storytelling skills using data visualization and executive-level presentations. - Knowledge of human capital strategies and workforce analytics methodologies. - Eligibility to obtain and maintain a government-required Public Trust security clearance. - U.S. citizenship, as required for access to federal systems and clearance processes. Additional Skills & Qualifications - Experience utilizing AI tools, such as Copilot, to support analytics, automate formulas, and enhance data processing efficiency. - Experience with Enterprise Services Portal or similar federal HR portals. - Demonstrated ability to present complex information in a clear, concise, and visually engaging manner for senior and non-technical audiences. - Experience supporting HR audits and payroll reviews, including A-123 reviews. - Strong collaboration skills and experience working with HR teams, program offices, and leadership to refine analytics requirements and deliver tailored solutions. - Comfort working in a fast-paced environment with shifting priorities and evolving data requests. Work Environment This position is classified as an HR Data Analyst role and is structured as a full-time equivalent (1 FTE) opportunity. The work environment is fully remote, allowing you to support federal human capital operations from a home-based setting while collaborating virtually with HR teams, program offices, and leadership. You will work extensively with federal HR systems such as NFC, HR Connect, USA Staffing, and other federal HR platforms, as well as tools like Microsoft Excel, Power BI, Tableau, SQL, and AI-based analytics assistants. The role requires the ability to obtain and maintain a Public Trust security clearance and may involve occasional coordination across time zones to meet federal reporting deadlines and leadership requests. No travel is required for this position. Job Type & Location This is a Contract to Hire position based out of Reston, VA. Pay and Benefits The pay range for this position is $90000.00 - $125000.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully remote position. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing winner for both client and talent service. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

• Extract, transform, and analyze fleet‑scale manufacturing, testing, deployment, and operational data using advanced SQL (DML). • Understand and translate manufacturing, quality, and reliability concepts into measurable, data‑driven solutions and KPIs. • Perform statistical analysis on manufacturing test data to ensure data integrity, reliability, and readiness for automation and root‑cause analysis. • Continuously provide feedback upstream to improve data quality, coverage, and performance. • Identify and implement opportunities to automate manual workflows using AI and advanced analytics. • Develop AI‑driven recommendation systems for data standards, anomaly detection, intelligent data mapping, and quality insights. • Support the integration of AI and ML services (e.g., Vertex AI, LLMs) into analytics workflows and intelligent applications. • Partner with engineers and product teams to embed AI capabilities into hardware NPI and manufacturing processes. • Design, develop, and maintain interactive dashboards and reports using Looker Studio, Tableau, Power BI, or equivalent tools. • Visualize manufacturing performance, data quality scores, operational metrics, headcount status, and organizational spending. • Prepare executive‑level summaries and presentations that distill complex technical data into clear, actionable insights. • Provide leadership with real‑time, decision‑ready visibility into manufacturing and operational health. • Interact professionally with engineers, product owners, suppliers, and subject‑matter experts across manufacturing, quality, IT, and operations. • Provide technical guidance to suppliers and engineering teams on optimal data collection, standards, and data warehousing solutions. • Support multiple parallel initiatives by tracking progress, identifying risks, and escalating delivery impediments when needed. • Facilitate change management through documentation, communication plans, and process training.

• Extract, transform, and analyze fleet‑scale manufacturing, testing, deployment, and operational data using advanced SQL (DML). • Understand and translate manufacturing, quality, and reliability concepts into measurable, data‑driven solutions and KPIs. • Perform statistical analysis on manufacturing test data to ensure data integrity, reliability, and readiness for automation and root‑cause analysis. • Continuously provide feedback upstream to improve data quality, coverage, and performance. • Identify and implement opportunities to automate manual workflows using AI and advanced analytics. • Develop AI‑driven recommendation systems for data standards, anomaly detection, intelligent data mapping, and quality insights. • Support the integration of AI and ML services (e.g., Vertex AI, LLMs) into analytics workflows and intelligent applications. • Partner with engineers and product teams to embed AI capabilities into hardware NPI and manufacturing processes. • Design, develop, and maintain interactive dashboards and reports using Looker Studio, Tableau, Power BI, or equivalent tools. • Visualize manufacturing performance, data quality scores, operational metrics, headcount status, and organizational spending. • Prepare executive‑level summaries and presentations that distill complex technical data into clear, actionable insights. • Provide leadership with real‑time, decision‑ready visibility into manufacturing and operational health. • Interact professionally with engineers, product owners, suppliers, and subject‑matter experts across manufacturing, quality, IT, and operations. • Provide technical guidance to suppliers and engineering teams on optimal data collection, standards, and data warehousing solutions. • Support multiple parallel initiatives by tracking progress, identifying risks, and escalating delivery impediments when needed. • Facilitate change management through documentation, communication plans, and process training.