Bentley Systems describes itself as the world-leading provider of infrastructure software. The company serves the engineers and other professionals responsible for constructing and
Human Resource Data Scientist
Location
Pennsylvania
Posted
38 days ago
Salary
0
Seniority
Senior
Job Description
Human Resource Data Scientist
Bentley Systems
Title: HR Data Scientist Location: Exton, PA, US Workplace: Human Resources Department: Colleague Technology and Analytics (80000888) Job Description: Location: Hybrid, Exton, Pennsylvania Position Summary: As we progress through an HR transformation and the implementation of Workday, we are looking for someone who can turn our people data into the predictive intelligence that drives smarter workforce decisions at every level of the business. You will transform workforce, financial, and organizational data into actionable insights that drive business decisions. Acting as a strategic partner to HRBPs and business leaders, you will connect people data (HC, ERC, skills, performance) with financial outcomes and business strategy to optimize workforce planning, cost efficiency, and organizational performance. This role has a strategic emphasis on: Forward-looking insights (predictive & scenario modeling), Business decision support, Storytelling and influence. This role is ideal for someone who sees a gap between what the data says and what the business believes, and who has the curiosity and confidence to close that gap. Responsibilities: - Strategic Consulting & Advisory - Partner with HR leaders to focus the team on the highest‑value questions and translate business challenges into problems and hypotheses. - Provide high-level executive briefings, offering strategic recommendations that influence talent strategy, workforce planning, and organizational design. - Integrate insights across the HR team to provide a single, coherent view of the workforce ecosystem. - Advanced Analytics & Predictive Insights - Develop and deploy predictive models to address critical business questions such as turnover forecasting, skills gap analysis, workforce demand planning, and high-performer identification. - Apply advanced analytics and AI-powered tools to uncover trends, predict future outcomes, and provide data-driven recommendations. - Research and identify benchmarking, best practices, and market trends. - Ensure regular, accurate, and timely delivery of workforce analytics and reports to HRBPs, Finance, and business stakeholders. - Provide clear trend analysis and forward-looking insights that enable stakeholders to better interpret data, identify risks and opportunities, and take informed actions. - Tailor outputs to audience needs, ensuring relevance, clarity, and impact in decision-making. - Establish enterprise standards ensuring reporting and dashboards consistently surface insights tied to priority business outcomes. - Data Storytelling & Visualization - Develop storytelling methodologies that transform complex data into clear, compelling narratives that resonate with executive leadership and drive strategic action. - Design and build advanced visualization and reporting tools, including intuitive, actionable dashboards in platforms like Microsoft PowerBI - Present analytics results with a strong focus on data storytelling and actionable insights for internal clients. - Present insights to senior stakeholders in a compelling, decision-oriented way including Power point, regular reports and similar - Technology Mastery & AI Adoption - Possess deep expertise with HRIS platforms, particularly Workday and SAP SuccessFactors, including advanced reporting, dashboards, and Workday reporting/People Analytics and Prism. - Manage data extraction and wrangling from multiple systems, ensuring data quality, real-time exchange, and access. - Champion AI literacy and data fluency within the HR team and across the organization. - Data Governance, Privacy & Ethics - Adhere to and enforce data governance standards, policies on data usage, privacy, and security. - Monitor analytics practices and AI-generated outputs for biased outcomes, ensuring fairness and compliance with global data privacy regulations (e.g., GDPR). - This is a full-time, individual contributor role expected to work 40 hours per week, hybrid in our Exton, PA office. - Requires sitting or standing at will while performing work on a computer (or any other physical requirements). Qualifications: - Experience: - 5+ years of progressive experience in people analytics, workforce intelligence, data science, or a related analytical role, preferably within a global, complex organization. - Proven track record of translating complex data into actionable business insights and effectively influencing senior leadership. - Demonstrated experience in delivering predictive analytics models and translating outputs into business decisions. - Experience with data extraction/wrangling from multiple systems. - Experience in the technology, engineering software, or professional services industries is strongly preferred. - Technical Proficiency: - Expert-level proficiency in data visualization tools such as Microsoft PowerBI, Workday. - Strong skills in data manipulation. - Expertise or significant experience building and deploying predictive models. - Demonstrated AI literacy; ability to evaluate, validate, and govern AI-generated outputs, including generative AI tools, for accuracy, fairness, and business relevance. - Strategic & Consulting Acumen: - Exceptional business acumen, curiosity, and ability to connect people analytics directly to strategic business goals and financial drivers. - Enable data-driven culture and decision-making - A strong consultative mindset with the ability to diagnose ambiguous problems, frame analytical questions, and architect effective solutions. - High degree of organizational savvy; comfortable working with all levels of the organization. - Communication & Data Storytelling: - Exceptional communication and data storytelling skills, with the ability to present complex information to non-technical audiences in a clear, compelling, and persuasive manner. - Ability to synthesize complex data and analytics into visually appealing, easy-to-understand reporting. - Education: - Bachelor’s degree or equivalent experience in a field emphasizing data analysis (e.g., Statistics, Applied Math, Computer Science) - A Master’s degree in Data Science, Statistics, Industrial-Organizational Psychology, HR Analytics, or a related field is preferred. What We Offer: - A great Team and culture – please see our colleague video. - An exciting career as an integral part of a world-leading software company providing solutions for architecture, engineering, and construction - watch this short documentary about how we got our start. - An attractive salary and benefits package. - A commitment to inclusion, belonging and colleague wellbeing through global initiatives and resource groups. - A company committed to making a real difference by advancing the world’s infrastructure for better quality of life, where your contributions help build a more sustainable, connected, and resilient world. Discover our latest user success stories for an insight into our global impact. #LI-HYBRID #LI-CS1 About Bentley Systems Around the world, infrastructure professionals rely on software from Bentley Systems to help them design, build, and operate better and more resilient infrastructure for transportation, water, energy, cities, and more. Founded in 1984 by engineers for engineers, Bentley is the partner of choice for engineering firms and owner-operators worldwide, with software that spans engineering disciplines, industry sectors, and all phases of the infrastructure lifecycle. Equal Opportunity Employer: Bentley is an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, sex, sexual orientation, gender identity, disability, pregnancy, protected veteran status, religion, national origin, age, genetic information or any other protected characteristic. This commitment extends to all aspects of employment, including, but not limited to, hiring, placement, promotion, compensation, and training. Know Your Rights as an applicant under the law.
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