Senior Manager, Global People Analytics (Remote)
Lexington, MA
Fresenius Group
As a member of the Global People Analytics and Experience (GPA&E) Team, the Senior Manager will lead a small team of data scientists and analysts in executing advanced analytics and strategic workforce planning (SWP) projects and processes. This role is responsible for consulting with HR and the business to identify the most critical business questions involving the workforce by leveraging people data and other organizational data sources and providing results and recommendations to leadership. The Senior Manager will lead the execution of strategic deep-dive analytics projects driven by the GPA&E Team in support of Total Rewards, Talent Acquisition, Organization Effectiveness, Leadership, and Learning.
Responsibilities:
Consulting: Builds relationships with key stakeholders to identify critical challenges facing their business. Demonstrates subject matter expertise in data analysis, statistical model development, and data visualization to deliver solutions to meet the needs of stakeholders.
Participates in monthly and quarterly operational meetings and provides recommendations on analytical solutions to address current challenges.
Establishes strong working relationships with senior leaders, partnering with them to identify opportunities to apply basic or complex statistical analyses to support their critical initiatives.
Delivers data-based solutions and presents results in a digestible format.
Develops, designs, and leads training sessions for various groups on HR data & analytics tools and processes.
Advanced Analytics: Leads the execution of advanced analytics projects in support of key workforce segments.
Manages advanced analytics projects from start to finish, providing direction/coaching to team members, and leading the execution of the analyses to answer critical business questions across all parts of the employee lifecycle – hiring, onboarding, engagement, promotions, turnover, etc.
Identifies appropriate research methods to obtain data necessary for answering business questions if data does not currently exist.
Cleans, merges, and analyzes large, complex datasets by leveraging R, Python, or other programming languages.
Conducts appropriate statistical analyses and delivers solutions to address business problem at hand, ranging from basic statistical analyses to development of machine learning models.
Leverages expertise in data visualization to build dashboards and reports that facilitate quick and easy interpretation of the data and identification of key insights.
Partners with key stakeholders to identify appropriate action plans.
Tracks progress and evaluates effectiveness of action plans and interventions over time.
Identifies opportunities for standardized reports and automated dashboards and works with cross-functional and cross-enterprise teams to plan, develop, and implement them.
Strategic Workforce Planning: Leads the execution of strategic workforce planning projects for key workforce segments.
Partners with cross-functional business leaders to understand critical demand drivers that inform headcount needs.
Identifies, develops, and implements workforce planning tools and solutions to allow business leaders to accurately forecast headcount needs based on demand drivers, the talent marketplace, and internal turnover trends.
Qualifications:
Advanced degree (MA/MS/PhD) in applied mathematics, statistics, data science, economics, I/O Psychology, or related quantitative field
6+ years of working experience in an advanced analytics or data science role, preferably within HR
2+ years of experience managing people
Proficient in Excel, at least one programming language (R/Python), SQL, and Tableau
Experience working with large datasets, building automated reporting solutions, and developing ML/AI solutions
Successful track record of superior service delivery and change management in a global environment
Proven ability to use data, analytics, and business knowledge to solve complex business problems
Ability to draw inferences from disparate pieces of data; quickly identify key findings; and the ability to link to implications and provide recommendations
Ability to frame analytic findings in a digestible and business friendly format that identifies key business implications and inspires action; must be able to create visually-appealing Executive Summaries using Microsoft Office (e.g., Word, PowerPoint)
Excellent verbal/written communication skills and effective presentation skills
Excellent customer focus and project management skills - able to interact professionally with a diverse group of executives, managers, and subject matter experts
EO/AA Employer: Minorities/Females/Veterans/Disability/Sexual Orientation/Gender Identity
Fresenius Medical Care North America maintains a drug-free workplace in accordance with applicable federal and state laws.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Consulting Data analysis Data visualization Economics Excel Machine Learning Mathematics ML models PhD Python R Research SQL Statistics Tableau
Perks/benefits: Career development
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