Senior Talent Analyst

SAIC•Flexwork, VA

2d•Remote

About The Position

SAIC has an exciting opportunity for a collaborative, analytical Senior Talent Analyst to contribute to enterprise-wide talent solutions that elevate workforce transformation, culture, and capability. This role will report to the Director, Talent and Organizational Effectiveness and work closely with stakeholders across the HR and business functions to support data-driven storytelling for workforce transformation and talent initiatives informed by external best practices to build a more agile, high-performance organization. This position can work remotely within the U.S. for the right candidate. As a key member of the Talent COE, this provides a great opportunity for an analytical, systems-thinker who thrives in ambiguity and is passionate about building high-performing organizations.

Requirements

Bachelors degree with 9+ years of experience in talent management, workforce planning, organizational effectiveness, people analytics, or a related human-capital discipline. 4 additional years of experience will be considered in lieu of a Bachelors degree.
Advanced Excel skills, including organizing, combining, and analyzing complex workforce data
Working knowledge of Power Bi, Tableau or similar data visualization tools to explore, communicate workforce insights
Ability to turn data into clear business stories and practical recommendations
Strong critical and systems thinking skills; ability to connect information across workstreams and glean insights
Strong stakeholder management skills and experience working with different partners and levels (analytics, HR, program teams, and senior leaders).
Solid project-management skills: can organize work, balance priorities, coordinate stakeholders, and meet deadlines with quality work.
Analytical and systems-thinking mindset with the ability to translate insights into tools and action
US Citizenship is required

Nice To Haves

Bachelors degree preferred in Human Resources, Business, Organizational Development, Industrial or Organizational Psychology, Analytics, or a related field.
Exposure to employee listening or engagement strategies (e.g., survey platforms, analysis, insights) a plus
Ability to work in a fast-paced, matrixed, and highly collaborative environment

Responsibilities

Analyze talent data from multiple sources, including HRIS platforms, talent assessments, performance management systems, engagement surveys, and exit data, to generate actionable trends and insights that inform strategic talent decisions
Partner with the People Analytics team to develop and maintain talent dashboards, scorecards, and reporting frameworks that provide leadership with real-time visibility into key talent metrics, trends, and outcomes
Analyze and monitor the effectiveness of talent initiatives through ongoing measurement and evaluation, making data-driven recommendations for program improvement, iteration, and innovation
Identify patterns and trends in talent data related to attrition, engagement, performance, succession readiness, and workforce demographics to proactively address risks and opportunities
Present talent analytics findings and strategic recommendations to HR leadership and business stakeholders in a clear, compelling, and actionable manner
Leverage HR technology platforms, including talent analytics tools and HR information systems, to drive project execution, streamline processes, and enhance data integrity and accessibility
Contribute to key workstreams within the HR COE Talent Management function
Develop and manage detailed project plans, timelines, milestones, and deliverables for talent management programs, ensuring on-time and high-quality execution
Proactively identify project risks, dependencies, and barriers, developing mitigation strategies and escalating issues as appropriate
Maintain comprehensive program documentation, including process maps, and standard operating procedures
Track and report on key program outcomes, budget utilization, and return on investment
Drive continuous improvement across programs by incorporating stakeholder feedback, industry best practices, and lessons learned into program design and delivery