Senior Manager, Data Analytics and Insights

About the role

You will play a meaningful role in delivering high-quality, impactful analytics and insights to Talent, HR and business leaders. You will lead efforts to transform candidate, associate, and operational data into actionable insights that inform strategic decision-making across Talent Acquisition, Talent Management, and Talent Learning and Development.

Responsibilities

• Leverage tools such as Alteryx, SQL, and data visualization platforms – Tableau/Power BI to design and implement data workflows, models, and dashboards that make talent data accessible, interpretable, and impactful.
• Support workforce data initiatives, ensuring analytics solutions are aligned with business needs and delivered efficiently.
• Uncover trends, tell compelling data stories, and translate complex analytics into business recommendations to shape the future of our talent strategy.
• Design and optimize advanced Alteryx workflows to deliver scalable talent analytics and workforce insights, enabling data-driven decision-making across the organization.
• Create and maintain robust data pipelines using SQL (Snowflake, SQL Server), with a focus on performance tuning and query optimization; working knowledge of Python and/or R is a strong plus.
• Create and enhance interactive dashboards and visualizations in Tableau and Power BI to support leadership with real-time insights and compelling data storytelling.
• Implement scalable data models and solutions that uncover talent trends, automate workforce processes, implement process improvements, and support evolving organizational analytics needs.
• Collaborate cross-functionally with Talent and Business leaders to gather requirements, translate business needs into analytics solutions, and deliver insights that influence strategic decisions.
• Communicate and socialize analytical findings by translating complex data into clear, actionable business recommendations through presentations and storytelling.
• Mentor and thought leadership to team members and cross-functional partners, fostering a culture of analytical excellence and continuous learning.
• Champion data governance practices, including data cataloging, quality management, and stewardship, using a combination of in-house and vendor tools.
• Serve as a domain expert on talent data, business processes, and platform capabilities, ensuring data integrity and alignment with business objectives.
• Contribute to the timely turnaround and completion of prioritized ad-hoc data requests and work backlog from our business partners.
• Build strong relationships with team members and key business partners to establish trust and maintain solid working relationships.
• Proactively seek opportunities to provide valuable insights and receive continuous improvement feedback from our business partners.

Requirements

The Expertise And Skills You Bring
Education & Experience: bachelor’s or master’s degree with a minimum of 8 years of experience in data analytics, data governance, and business intelligence.
Alteryx Expertise: Proven ability to design and optimize Alteryx workflows for advanced automation, data transformation, and analytics best practices.
SQL Proficiency: Solid working knowledge of SQL, including building and tuning complex queries, creating stored procedures, and troubleshooting across Snowflake and SQL Server environments.
Database Knowledge: Strong understanding of relational and dimensional database concepts and hands-on experience with platforms such as Snowflake, Azure, and SQL Server.
Experience with Power Automate for workflow automation.
Data Visualization: Highly skilled in developing impactful dashboards and visual stories using Tableau and Power BI, with a focus on metric design and stakeholder engagement.
Data Governance: Deep understanding of data governance principles including data security, standards, stewardship, and process improvement.
Stakeholder Influence: Proven ability to collaborate and influence stakeholders at all levels, including senior leadership, through clear communication and compelling data narratives.
Insight Generation: Demonstrated talent for translating complex analytics into actionable business insights and strategic recommendations.
Technical Versatility: Familiarity with Python and/or R is a strong plus, enhancing analytical depth and automation capabilities.