Job Description

About Us TheMathCompany or MathCo® is a global Enterprise AI and Analytics company trusted for data-driven decision-making by leading Fortune 500 and Global 2000 enterprises. Founded in 2016, MathCo builds custom AI and advanced analytics solutions focused on enterprise problem-solving through its innovative hybrid model. NucliOS, MathCo’s proprietary platform with pre-built workflows and reusable plug-and-play modules, enables the vision of connected intelligence at a lower TCO. For our employees, we foster an open, transparent, and collaborative culture with no barriers, making MathCo a great place to work. We provide exciting growth opportunities, value capabilities, and attitude over experience, enabling the Mathemagicians to ‘Leave a Mark.’ Role Description As an Engagement Manager, People Analytics, you will play a pivotal role in driving advanced people analytics initiatives for one of our flagship Retail/CPG clients. You will lead high-impact projects that enhance workforce insights, improve talent strategies, and support business outcomes using data-driven approaches. You will act as the strategic bridge between business leaders, HR functions, and data science teams, ensuring analytics solutions are aligned with workforce challenges and organizational goals. Key Responsibilities Client & Stakeholder Management: Serve as a trusted advisor to client HR and business leaders, translating workforce challenges into data-driven strategies. Lead discussions on people analytics priorities, ensuring alignment with business objectives. Manage expectations, deliver insights, and drive adoption of analytics solutions within HR teams. People Analytics Strategy & Execution: Develop and implement predictive and prescriptive analytics solutions to support talent acquisition, retention, workforce planning, and employee engagement. Leverage statistical models, machine learning techniques, and visualization tools to uncover workforce trends and insights. Oversee the design and implementation of HR dashboards, KPI frameworks, and reporting structures to track key talent metrics. Collaborate with data engineers and scientists to ensure data integrity, accessibility, and scalability. Team Leadership & Delivery: Lead and mentor a team of data analysts, consultants, and data scientists to execute high-quality analytics initiatives. Ensure project deliverables are on track, meet client expectations, and provide tangible business value. Stay ahead of industry trends in HR analytics, workforce intelligence, and talent analytics, bringing innovative solutions to clients. What You Bring ~5+ years of experience in People Analytics, HR Data Science, or a related field, preferably within consulting or a fast-paced business environment. ~ Strong expertise in workforce analytics, predictive modeling, and employee lifecycle analytics. ~ Proficiency in SQL, Python, R, or similar tools for data analysis and visualization (e.g., Tableau, Power BI). ~ Familiarity with HR systems such as Workday, SAP SuccessFactors, or similar platforms. ~ Proven ability to engage with senior HR and business leaders, translating data into actionable insights. ~ Strong project management and stakeholder engagement skills, with experience leading analytics-driven initiatives. ~ Background in Retail or CPG industry workforce analytics is a plus. Being a Mathmagician Understand & embody MathCo’s culture and way of working. Demonstrate an ownership mindset to drive results, striving for excellence. Engage actively and contribute to initiatives fostering company growth. Support diversity and understand different perspectives. Why Join Us? As a testament to our growth, we have been: Positioned as a Leader in Top Generative AI Service Providers – PeMa Quadrant 2023 by AIMResearch. Recognized among the Inspiring Workplaces in North America, 2023. Accredited for Inclusive Practices by the Great Place to Work Institute, India. Recognized among India’s Best Workplaces™ for Diversity, Equity, Inclusion & Belonging 2023 by Great Place To Work® India. To learn more, visit our website.

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