All JerseySTEM roles are pro-bono (unpaid) positions.

JerseySTEM is a mission-driven professional network of pro-bono contributors dedicated to improving access to STEM education and career pathways for underserved middle school girls in New Jersey.

Members contribute their professional skills and leverage their networks in service of the organization’s gender-equity agenda.

Membership is a minimum six-month commitment of approximately six flexible hours per week and includes a $100 refundable deposit, returned after six months of active membership. K–12 educators, retirees, veterans, interns, and students are exempt from the deposit.

This is a pro-bono volunteer position.

JerseySTEM is looking for talented professionals across our departments to commit time and energy as long-term engagement for our mission to provide STEM education to underrepresented middle school girls.

The Staff Analytics Team Lead will lead and manage the team, analyze data, and generate insights to optimize staff performance and workforce planning and enhance organizational efficiency through data-driven decision-making.

• Lead and manage the Staff Analytics team, providing direction, guidance, and support in data analysis and reporting.

• Collaborate with HR and other departments to identify key metrics and data requirements for workforce planning and decision-making.

• Design and implement data collection processes and systems to ensure accurate and reliable data.

• Analyze and interpret data to generate insights and recommendations for improving staff performance and organizational efficiency.

• Prepare and present reports and dashboards to senior management and stakeholders.

• Stay up-to-date with industry trends and best practices in data analytics and workforce management.

• Bachelor's or Master's degree in Data Science, Statistics, Business Analytics, or a related field.

• Proven experience in data analytics and reporting, preferably in a leadership role.

• Strong analytical and problem-solving skills, with the ability to interpret complex data sets.

• Proficiency in data analysis tools and software such as Excel, SQL, Python, or R.

• Excellent communication and presentation skills.

• Leadership and team management abilities.

• Detail-oriented and able to handle multiple projects simultaneously.

• Data-driven mindset with a focus on delivering actionable insights.