Manager, Data & Analytics

<p><strong>Transform Your Career&nbsp;</strong></p> <p>We deliver unparalleled opportunities for growth and career advancement. Our dynamic, entrepreneurial culture supports your journey every step of the way.&nbsp;</p> <p>Embrace new challenges and deliver real value to some of the world’s most influential Fortune 100 brands, growth companies transforming their industries, and mid-market firms that need help navigating the defining moments of their lifecycle. Work side by side with business leaders to solve complex client challenges and make a true impact. Love what you do as part of a diverse organization committed to collaboration and continuous learning.</p> <p><strong>The Team – Data &amp; Analytics</strong></p> <p>Our Data &amp; Analytics practice is comprised of functional and technical experts across data strategy, data engineering, analytics, and transformation. We help clients maximize the value of their data by designing modern data platforms, building scalable pipelines, and delivering analytics and reporting solutions that enable better decision-making. Our consultants are hands-on problem solvers who partner closely with clients in fast-paced, project-based environments.</p> <p><strong>You Are</strong></p> <p>You are a team-builder and problem-solver. You stay updated on new products and technologies. You have hands-on experience using f data, automation, and AI/ML tools and applications to creatively design, prototype, and implement solutions for your clients. You know that collaboration is key, so you look for ways to share and source best practices. If there’s a new way to do something that improves outcomes for clients, you’ll find it.</p> <p><strong>Your Impact</strong></p> <ul> <li>Design and build modern data warehouses and analytics-ready data models.</li> <li>Develop scalable, reliable data pipelines using cloud-based data platforms.</li> <li>Implement analytics, reporting, and visualization solutions that translate complex data into clear, actionable insights for client stakeholders.</li> <li>Partner with client teams to understand business objectives, data challenges, and success metrics through interviews and working sessions.</li> <li>Manage discrete project workstreams, balancing technical execution with client communication and delivery timelines.</li> <li>Present findings, recommendations, and solution designs to both technical and non-technical audiences.</li> <li>Leverage AI-assisted development environments to design, generate, test, and iterate on production-quality analytics and data engineering code.</li> <li>Support broader data transformation initiatives, including system implementations, migrations, and modernization efforts.</li> <li>Actively p