Director of Analytics

Augurian•Saint Paul, MN

1d•Hybrid

About The Position

Data only matters if it changes what people do. As Director of Analytics, you’ll lead a team that turns raw data into the strategic foundation clients and internal teams rely on to make better decisions. You own the analytics practice end to end—the strategy, the tools, the people, and the quality of every insight that goes out the door. This is a role for someone who thinks like a business advisor who happens to be deeply technical. You’ll set the vision for how analytics drives value across the agency, shape the team’s adoption of AI and advanced techniques, and ensure clients see analytics not as a reporting function but as a strategic advantage. Our clients range from B2B organizations with long sales cycles and CRM-integrated marketing to multi-location businesses across higher education, healthcare, real estate, retail, and grocery. You’ll need proven experience across the spectrum—driving pipeline for lead-based businesses and in-store and ecommerce impact for bricks-and-clicks retail—and the ability to adapt strategy to fundamentally different buyer journeys. If you’re energized by building systems that scale, developing people, and making data genuinely indispensable to clients, this is the role.

Responsibilities

Develop and implement a comprehensive data strategy aligned with the agency’s business goals and client objectives.
Collaborate with leadership to define KPIs and establish benchmarks for success across the agency’s portfolio.
Serve as a senior strategic advisor to key clients—translating their business objectives into actionable analytics strategies and recommendations.
Influence necessary stakeholders internally and externally to provide what the team needs to complete its work.
Heavily influence scoping and pricing for new and updated client retainers, ensuring profitability and alignment with team capacity.
Define and own the analytics team’s AI roadmap: evaluate emerging tools, establish governance frameworks, and lead adoption across the practice.
Champion the integration of AI into core workflows—predictive analytics, attribution modeling, anomaly detection, automated reporting, and customer segmentation—to drive efficiency and insight depth.
Develop AI usage guidelines, quality standards, and training programs to ensure responsible and effective use across the team.
Partner with services leaders and technology teams to evaluate AI investments that serve the broader organization.
Oversee the selection and implementation of analytics tools and technologies to gather and analyze data effectively.
Ensure proper integration with other marketing tools and platforms.
Create custom analytics solutions tailored to client needs—attribution modeling, predictive analytics, customer segmentation, and advanced measurement frameworks.
Implement advanced analytics techniques to uncover hidden patterns and trends in data.
Conduct in-depth analysis of marketing data, including website analytics, campaign performance, and customer behavior.
Extract actionable insights and communicate findings to both internal teams and clients.
Develop and maintain reporting dashboards that provide real-time visibility into key performance metrics.
Create client-facing reports that highlight campaign success, areas for improvement, and strategic recommendations.
Ensure quality and reliability of reported metrics; make final decisions on reporting outcomes related to GA4/Looker.
Ensure the accuracy and reliability of data by implementing robust quality assurance processes.
Conduct regular audits of data sources, tracking implementations, and reporting systems.
Stay updated on data privacy regulations and compliance standards; implement measures to ensure data security and compliance with relevant laws.
Collaborate with digital marketing teams to optimize campaigns based on analytics insights.
Implement ongoing testing and experimentation to improve performance and ROI.
Engage with clients to understand their business objectives, data requirements, and key performance metrics.
Ensure client engagements are structured as consultative advisory partnerships—not just reporting cycles.
Educate clients on the importance of analytics, the value of data-driven decision-making, and how insights contribute to business success.
Act as the last line of defense for ensuring billable hours and deliverables meet client agreements.
Work with leadership to manage the budget for analytics tools, resources, and technology investments.
Ensure cost-effective solutions that align with the agency’s financial goals.
Act as the buffer to the service team when capacity gets tight.
Support marketing and sales efforts: scoping, pricing input, pitching, onboarding, expectation management, case studies, and practice-area SME contributions.
Lead and mentor a team of analysts, providing guidance on analytics methodologies, tools, and best practices.
Foster a collaborative, data-driven culture within the analytics team.
Coach and develop direct reports through regular mentorship, performance reviews, and career development conversations.
Provide training and professional development opportunities for the analytics team.
Build team capabilities through knowledge sharing and AI upskilling programs.
Source and manage contractors to supplement team capacity as needed.
Develop interview materials tailored to each role; lead screening and final interviews.
Guide the hiring team in evaluating candidates for technical skill, consultative aptitude, and cultural fit.
Drive recruitment decisions that build a team capable of delivering on both current and evolving client needs.
Collaborate with organic, paid media, and sales teams when cross-channel value justifies the investment of time.
Work closely with leadership to contribute to overall agency strategy and growth.
Provide consistent input to services leaders on joint technologies and process enhancements.
Actively manage the team’s P&L; coordinate with services leaders on headcount and tooling decisions.
Maximize team revenue while balancing team health, client satisfaction, and organizational priorities.
Uphold and promote the agency’s core values, fostering a positive, inclusive, and intellectually curious workplace.
Drive initiatives that enhance employee engagement, satisfaction, and professional growth.