Senior Manager, Analytics

Overview

Leads analytics team to deliver BI solutions and advanced insights across functions.

Key Responsibilities

• data modeling
• etl processes
• dashboard development
• data governance
• ai integration
• team leadership

Tasks

-Ensure best practices in data modeling, ETL processes, and data visualization. -Manage workload distribution, set priorities, and ensure timely delivery of projects and reports. -Ensure the delivery of actionable insights that drive business strategy and operational improvements. -Facilitate requirements gathering, project scoping, and solution delivery. -Supervise, mentor, and develop a team of BI Engineers and Analysts, fostering a collaborative and high-performance environment. -Drive user engagement with dashboards and data products, ensuring adoption and effective utilization across the organization. -Oversee the design, development, and maintenance of BI solutions, including dashboards, reports, and data models. -Guide the team in performing complex data analysis, mining, and statistical modeling to uncover trends and support predictive analytics. -Promote a culture of experimentation, continuous improvement, and learning within the BI team. -Champion data governance, quality, and security standards across all BI initiatives. -Identify opportunities to automate reporting and analytics processes. -Promote self-service analytics and empower business users to leverage BI tools for decision-making. -Integrate emerging technologies such as Artificial Intelligence (AI) and Large Language Models (LLMs) into analytics solutions to enhance capabilities and drive innovation. -Partner with business leaders in Supply Chain, Finance, Sales, Product, Channel, Marketing, and other departments to understand analytical needs and translate them into technical solutions. -Provide coaching and professional development opportunities for team members.

Requirements

• cloud platforms
• sql
• computer science
• data warehousing
• tableau
• predictive modeling

What You Bring

-Familiarity with large-scale data environments and cloud data platforms (e.g., Snowflake, AWS, Azure). -Experience working in agile methodology. -Bachelor’s or master’s degree in computer science, Data Science, Statistics, Engineering, Finance, or a related quantitative discipline. -Proficient in Microsoft Office Suite. -Situational Adaptability -Experience working with supply chain, finance, and data is a plus. -Strong understanding of data warehousing concepts, methodologies, and best practices. -At least 3 years of experience managing analytical associates or teams. -Minimum 7 years of experience in analytical roles (BI, Data Analytics, Data Science, etc.), with demonstrated expertise in data analysis, reporting, and BI solution development. -Experience with statistical analysis, predictive modeling, and experimentation (A/B testing, MVT). -Experience integrating emerging technologies (AI, LLMs) into analytics platforms is a plus. -Strategic Thinking -Proven ability to communicate complex analytical concepts to non-technical audiences and senior leadership. -Hands-on experience with BI tools (Tableau, Power BI, Qlik, etc.), SQL, ETL processes, and data modeling. -Manages Complexity

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About Fortune Brands Innovations

-A leader in innovation, transforming everyday spaces with smart, functional products. -Focused on creating sustainable solutions that enhance the way people live, work, and play. -With decades of experience, the company has pioneered advancements in home hardware, kitchen, and bath industries. -Their product lines include iconic brands that redefine comfort, performance, and design. -From high-end kitchen systems to innovative home security technologies, Fortune Brands is at the forefront of next-gen solutions. -Known for its strong financial growth, the company continues to expand its reach globally with cutting-edge designs. -They have a history of pushing boundaries with both traditional and digital product offerings.

Sector Specialisms