Sr. Analyst, Workforce Analytics (Remote)

At Memorial Hermann, we pursue a common goal of delivering high quality, efficient care while creating exceptional experiences for every member of our community. When we say every member of our community, that includes our employees. We know that when our employees feel cared for, heard and valued, they are inspired to create moments that exceed expectations, while prioritizing safety, compassion, personalization and efficiency. If you want to advance your career and contribute to our vision of creating healthier communities, now and for generations to come, we want you to be a part of our team. Job Summary The Workforce Analytics team provides reporting tools, analysis, and insights that empower leaders to make key people decisions and drive business value. Partnering with HR, finance and business leaders, the Senior Workforce Analyst builds scalable reporting tools, analyzes workforce trends, and applies statistical and visualization methods to deliver insights that drive strategic decision-making across the organization. The Senior Analyst, Workforce Analytics is a hands-on role - deeply consultative, but always in the data - solving complex workforce and business challenge. This individual will partner closely with HR, Finance, Technology, and business leaders to understand the problem behind a request, ask the right questions, analyze data, and determine the appropriate solution rather than simply completing assigned reports or building dashboards. The role requires someone who is comfortable working in ambiguity and gray areas, can independently take an undefined problem and work it through to resolution, and knows when to collaborate with others to move an issue forward. The ideal candidate combines strong people analytics, dashboarding, and technical skills with curiosity, resourcefulness, critical thinking, and strong interpersonal skills, and can translate complex data into a clear story that helps leaders understand what is happening, why it matters, and what actions they should consider. Job Description The ideal candidate combines strong people analytics, dashboarding, and technical skills with curiosity, resourcefulness, critical thinking, and strong interpersonal skills, and can translate complex data into a clear story that helps leaders understand what is happening, why it matters, and what actions they should consider. Desired Skill Set People & Workforce Analytics – Experience analyzing workforce data and translating findings into meaningful business insights. Consultative Problem-Solving – Ability to work through ambiguous problems, ask the right questions, identify root causes, and develop solutions. Stakeholder Partnership & Collaboration – Strong interpersonal skills with the ability to partner effectively across HR, Finance, Technology, and business teams. Data Analysis & Visualization – Advanced Excel, SQL, and Power BI/Tableau skills with hands-on dashboard and reporting experience. Data Storytelling & Communication – Ability to translate complex data into clear insights, recommendations, and compelling narratives for leaders. Ownership & Resourcefulness – Proactive, hands-on approach to investigating issues, navigating gray areas, and driving problems through resolution. MINIMUM QUALIFICATIONS Education: Bachelor’s degree in technical, quantitative, or business-focused fields (Data Analytics, Data Science, Mathematics, Statistics, Economics or a related field). Licenses/Certifications: ( None) Experience / Knowledge / Skills: 5+ years of experience in data analysis, business analysis, or a related role. Experience in workforce / people analytics strongly preferred; familiarity with HR/HCM data structures required 2+ years with hands-on experience with HCM report and dashboard design and development; Oracle HCM experience strongly preferred. Experience in Strong ability to apply statistical models, forecasting techniques, and workforce analytics methodologies. Advanced proficiency in Excel, SQL, and data visualization tools (PowerBI, Tableau) Excellent communication and storytelling stills, with proven ability to translate data insights into actionable recommendations for senior leaders. Strong analytical mindset with expertise in project management, stakeholder management, critical thinking and problem solving Principal Accountabilities Partner with HR, Finance, Technology, and business leaders to understand workforce challenges and translate them into data and reporting needs. Lead complex workforce analyses using statistical models and advanced analytics to assess key HR metrics, forecast trends, and support strategic decision making. Own workforce reporting and analytics solutions end-to-end – from consultation and scoping through the requirement definition, build, validation, and delivery. Transform data findings into clear, compelling narratives that drive strategic decision making. Ensure data integrity by leading quality efforts, verifying analysis, and maintaining high standard of precision Identify opportunities to enhance data systems and reporting capabilities, working closely with Technology and other stakeholders Mentor and provide technical guidance to analysts. Stay current on industry trends and best practices in workforce analytics and data science. Ensures safe care to patients, staff and visitors; adheres to all Memorial Hermann policies, procedures, and standards within budgetary specifications including time management, supply management, productivity and quality of service. Promotes individual professional growth and development by meeting requirements for mandatory/continuing education and skills competency; supports department-based goals which contribute to the success of the organization; serves as preceptor, mentor and resource to less experienced staff. Demonstrates commitment to caring for every member of our community by creating compassionate and personalized experiences. Models Memorial Hermann’s service standards by providing safe, caring, personalized and efficient experiences to patients and colleagues. Other duties as assigned.