Marketing Analytics Manager

About the role

The owns the design and governance of the entire marketing measurement ecosystem, establishing the frameworks and standards that define how success is evaluated across every stage of the customer journey. This role is responsible for translating ambiguous business questions into structured analytical approaches, ensuring that marketing decisions are driven by evidence rather than intuition or anecdotal feedback. You will architect the data structures and key performance indicators that underpin reliable insights, creating a single source of truth that aligns stakeholders around clarity and accountability. A critical part of this position involves monitoring marketing pipeline performance and funnel conversion, analyzing patterns in behavior and channel effectiveness to surface opportunities for strategic improvement. You will synthesize complex analyses into clear, board-level narratives, shipping dashboards and accompanying documentation that clarify outcomes and empower leaders to act with confidence. This position works in partnership with BI and analytics engineering teams to align tools, definitions, and reporting workflows, enabling scalable solutions that stand the test of organizational change. You will champion the adoption of insights, ensuring that reports move beyond static files and become active inputs into real marketing choices, experimentation, and ongoing optimization. Through this work, you will promote a data-minded culture where campaigns and operations are continuously refined based on rigorous evaluation, maintaining standards that preserve consistency across channels and over time.

Key facts

What you'll do

• Architect the measurement foundations and data structures that serve as the basis for reliable marketing insights and a single source of truth.
• Design the intake framework that governs how marketing questions enter analysis, ensuring requests are clarified, scoped, and prioritized effectively.
• Analyze marketing pipeline performance and funnel conversion, evaluating channel effectiveness and identifying patterns that inform strategic shifts.
• Build and maintain dashboards and accompanying narratives that clarify outcomes for stakeholders, making insights actionable and decision-ready.
• Review performance signals and synthesize complex analysis into narratives that support board-level reporting and executive decision-making.
• Partner with BI and analytics engineering teams to align tools, definitions, and reporting workflows, enabling scalable and maintainable solutions.
• Evaluate how efforts across channels combine to influence outcomes, using this understanding to assess the combined impact of marketing activities.
• Champion adoption by ensuring insights move from reports into real marketing choices, supporting testing, experimentation, and ongoing optimization.
• Define and uphold standards that keep data consistent, transparent, and reliable across marketing channels and over time.
• Translate funnel behavior and attribution patterns into guidance that informs campaign structure, audience targeting, and channel allocation.
• Conduct ongoing evaluation of measurement frameworks, refining KPIs and analytical models as business priorities evolve.
• Act as a bridge between technical teams and business stakeholders, clarifying capabilities, constraints, and opportunities in data and tooling.
• Enable the marketing organization to operate with greater autonomy by providing clear frameworks, documentation, and insight products.
• Support the transformation toward autonomous operations by ensuring that data, insights, and recommendations are reliable and timely.
• Identify areas where data, visualization, and process improvements can unlock additional value from existing platforms and workflows.
• Prepare materials for leadership review, aligning analytical outputs with strategic priorities and risk considerations.
• Maintain a learning mindset, staying current on analytical methods, visualization practices, and industry benchmarks in marketing performance.

Requirements

You must bring 3-5 years of experience analyzing marketing data within a SaaS context, demonstrating a track record of handling complexity and ambiguity with rigor. This background should include a strong command of SQL, allowing you to structure queries, explore datasets independently, and validate results without constant reliance on others. You need a thorough understanding of campaign metrics, funnel conversion, and pipeline dynamics to assess performance accurately and avoid misleading interpretations. Comfort with dashboards, visualization tools, and data models is essential, as is the ability to communicate clearly with both technical collaborators and business stakeholders who may not be fluent in analytics. You must be comfortable working in a fast-moving, product-driven environment where requirements evolve and insights must be delivered with both speed and precision. A methodical approach to problem-solving is required, including documentation, version control, and attention to detail that prevents errors from propagating into critical decisions. You should be comfortable managing multiple priorities, balancing deep analytical work with stakeholder communication and follow-through. Because this role influences strategic direction, you are expected to approach recommendations with care, recognizing the importance of evidence, causality, and responsible interpretation. You must be able to work independently and as part of a distributed team, maintaining accountability for outcomes even when processes and tools are still being refined.

Nice to have

Experience with marketing mix or attribution models is valued, as is familiarity with orchestration platforms or automation concepts. These capabilities help you evaluate how efforts across channels combine to influence outcomes and how automated workflows can support measurement and action.