Retail Analytics & Insights Manager

Anderson Merchandisers•Plano, TX

About The Position

The Analytics Manager leads a team of analysts in delivering high-impact, cross-domain analytical solutions that influence strategic decisions and uncover new opportunities for business growth and operational excellence. This role serves as a trusted advisor to senior leadership and cross-functional stakeholders, guiding them in leveraging data to shape business direction, improve performance, and drive measurable results. The Manager oversees analytics strategy and execution across multiple business areas, translating complex questions into actionable analytical plans, designing meaningful metrics, and ensuring insights are embedded into business decision-making. The role requires a balance of strong technical skills, strategic business acumen, influential leadership, and people management expertise.

Requirements

Bachelor’s degree in data Analytics, Computer Science, Mathematics, Statistics, or another quantitative discipline.
Minimum 5 years of experience using SQL for advanced data manipulation in large-scale data repositories.
Minimum 5 years of analytics experience working with cross-functional business partners in a complex organization.
Proven experience designing and implementing KPIs and measurement frameworks that drive performance improvement.
At least 2 years of experience managing and developing teams.
Exceptional problem-solving and structured thinking skills.
Advanced quantitative and analytical expertise with a track record of translating data into business impact.
Strong business acumen with the ability to connect analytics to strategic objectives across multiple domains.
Proven ability to influence and align diverse stakeholders, including senior executives.
Excellent communication and data storytelling skills, both verbal and written, tailored to executive audiences.
Strong leadership skills with a demonstrated ability to coach and inspire high-performing teams.
Ability to balance strategic vision with selective hands-on involvement, coaching and review.
Continuous improvement mindset and passion for elevating analytics capability.

Nice To Haves

Experience with machine learning or advanced statistical modeling is a plus.
Advanced experience using Python for complex analysis, reusable solutions, or scalable analytics workflows is a strong plus, but not required.

Responsibilities

Serve as a strategic analytics advisor to senior leaders, providing counsel on leveraging data and insights for critical business decisions.
Partner with business owners across functions to define analytics objectives, align priorities, and co-create KPIs that measure and improve performance.
Facilitate and influence cross-functional strategy discussions, ensuring analytics is embedded into both strategic planning and day-to-day operations.
Develop, align, and oversee analytical plans that address high-priority business questions and opportunities.
Proactively identify and propose innovative analytical methodologies, data models, and measurement frameworks to support emerging needs.
Ensure analytical outputs are not only accurate and timely but also translated into clear, actionable insights that drive measurable impact.
Oversee analytics across multiple business domains, synthesizing data to identify enterprise-wide patterns, opportunities, and risks.
Ensure a consistent, organization-wide approach to metrics, reporting, and insight delivery.
Ensure the team proactively surfaces enterprise-level insights and patterns, rather than operating reactively to requests.
Partner with Technology teams to translate business needs into BI and analytics platform enhancements, contributing to the development of enterprise-level scalable analytic tools and capabilities.
Represent analytics in cross-functional initiatives, ensuring alignment with broader organizational strategies.
Lead, coach, and develop a team of analysts, fostering a high-performance culture that values curiosity, innovation, and business impact.
Set team priorities, allocate resources effectively, and ensure delivery against agreed timelines and quality standards.
Mentor and develop junior and senior analysts’ technical capabilities, business acumen, and stakeholder influence skills.