Global People Analytics Senior Analyst - The Boston Consulting Group

Join our Global People Analytics team as a Senior Analyst, where you'll play a pivotal role in advancing the recruiting analytics agenda for BCG. This role demands a unique blend of data science expertise and a deep understanding of HR analytics to drive evidence-based decision-making processes. You'll be at the forefront of providing analytical support, employing statistical inferences, and offering quantitative insights to optimize our global HR recruiting strategies.

As a Global People Analytics Senior Analyst, you’ll support evidenced-based decision making. You’ll provide dats science & analytical inputs to support the global HR recruiting teams and work with stakeholders across BCG. You’ll add a data science & quantitative perspective to discussions on new and existing processes and policies. You will apply Data Science and analytics mindset and empower recruiters and the recruiting leadership teams with Statistical Inferences and leadership teams with data-driven insights, facilitating informed decision-making and strategic planning. Apply statistical modeling and analytical methodologies to solve recruitment challenges, enhancing efficiency and effectiveness in talent acquisition.

Responsibilities:

• Play an integral role in the AI product development lifecycle, from system design to model validation and scaling.

• Design and build predictive models, classifiers, and recommendation systems to enhance business performance.

• Stay updated on the latest advancements in data science, machine learning, AI technologies, and visualization tools to enhance methodologies.

• Ensure data quality and integrity throughout all processes.

• Generate insights from complex datasets and communicate findings to enhance business decision-making.

• Collaborate with teams across the organization to meet data requirements and project objectives.

• Communicate complex findings and technical concepts to non-technical stakeholders through visualizations, presentations, and reports.

• Participate in the development of data science best practices, standards, and guidelines within the organization.

• Partner with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements

• Perform code reviews & optimization for your projects and team

• Lead and mentor by example, including projects