Senior Data Analyst

About the role

You will be embedded directly within the marketing team at 9fin, acting as the primary analytical brain for all demand generation and performance initiatives. In this role, you own the complete lifecycle of marketing analytics, transforming raw campaign data into actionable strategies that fuel pipeline and revenue growth. You are responsible for defining and standardizing the metrics that govern our inbound funnel, ensuring consistency and trust from the first touchpoint through to customer conversion. You will architect multi-touch attribution models that move beyond simplistic last-click tracking, revealing the true impact of each channel on pipeline creation. A core part of your role involves rigorously measuring channel and campaign performance across email, paid media, social, events, and SEO to identify high-return opportunities and areas for immediate optimization. You will build and maintain the foundational marketing data models and semantic layer, leveraging tools like dbt on BigQuery to integrate HubSpot, Salesforce, Google Analytics, and Amplitude for self-serve analysis. You will own the integrity of lead data and instrumentation, designing tracking implementations for landing pages and ensuring marketing and sales numbers remain aligned, high quality, and compliant. You will also own web and SEO analytics, interpreting traffic patterns and engagement metrics to provide clear, executable recommendations for growth. Ultimately, you will serve as the embedded analytical partner to the marketing and RevOps teams, translating complex campaign questions into clear analyses that directly influence budget allocation and strategic prioritization.

Key facts

What you'll do

• Take ownership of the inbound funnel metrics end-to-end, defining and standardizing the metrics across landing, MQL, SQL, trial, and conversion stages to ensure unified trust between marketing, sales, and leadership.
• Architect and build multi-touch attribution models that reveal which specific channels and campaigns actively drive pipeline and revenue, moving beyond last-click dependencies.
• Rigorously measure channel and campaign performance across email, paid media, social, events, and SEO, identifying high-performing vectors to scale and underperforming assets to pause or optimize.
• Model customer acquisition cost (CAC), conversion rates, payback periods, and cohort lifetime value (LTV), quantifying the full financial contribution of marketing initiatives to pipeline and bookings in close partnership with GTM and RevOps analytics.
• Design, develop, and own marketing data models and the semantic layer using dbt within a cloud data warehouse, integrating HubSpot, Salesforce, Google Analytics, and Amplitude to enable a reliable, self-serve analytics environment.
• Lead the ownership of marketing instrumentation and lead-data quality, implementing and tracking landing-page and web tracking (including UTM structures) while supporting lead-scoring models to maintain alignment and trust between departments.
• Take end-to-end ownership of web and SEO analytics, tracking traffic sources, user behavior, and inbound lead quality to surface clear, data-driven recommendations for content and technical improvements.
• Act as the primary analytical strategist for the marketing function, working directly with demand generation and RevOps partners to convert complex campaign questions into robust analyses that inform spending and prioritization decisions.
• Ensure all marketing data practices adhere to strict GDPR compliance, embedding privacy and data governance into the design of tracking, models, and dashboards.
• Drive continuous experimentation and performance analysis by partnering with stakeholders to define hypotheses, measure impact, and scale successful initiatives across the funnel.
• Build and maintain dashboards and reporting assets in modern BI tools integrated with a semantic layer, enabling non-technical teams to explore data and derive insights independently.
• Collaborate closely with data engineering to ensure data pipelines are robust, scalable, and optimized for high-frequency marketing analytics and real-time decision-making.
• Translate business requirements from marketing leadership into technical specifications and analytical approaches, ensuring clarity, consistency, and measurability in every project.
• Document methodologies, definitions, and insights thoroughly to create a durable analytical foundation that supports long-term growth and easy knowledge transfer.

Requirements

• Bring proven analytics experience supporting marketing, growth, demand generation, or RevOps, ideally within fast-paced B2B SaaS or fintech environments where data drives high-stakes decisions.
• Demonstrate expert-level proficiency in SQL, writing complex queries for analysis, optimization, and the creation of reusable datasets that serve multiple downstream consumers.
• Possess commercial experience building and maintaining production-grade analytics in cloud data warehouses such as BigQuery, Snowflake, or similar platforms, including robust testing and documentation.
• Have deep, hands-on experience with modern BI platforms featuring an integrated semantic layer, such as Omni, Looker, or Thoughtspot, building self-serve dashboards and rigorously owning metric definitions.
• Show comprehensive knowledge of the marketing technology stack, including HubSpot (or similar marketing automation/CRM platforms), Salesforce, Google Analytics, and digital/web event analytics tools.
• Exhibit strong expertise in attribution and funnel analysis, including multi-touch models, CAC, conversion rates, payback periods, and cohort LTV, with the statistical judgment to distinguish meaningful signals from noise.
• Communicate analytically complex concepts clearly and persuasively, translating technical findings into narratives that marketing teams and company leadership can easily understand and act upon.
• Think like a strategic problem solver, taking ownership of metric definitions, validation frameworks, and data quality processes to ensure numbers are consistent, reliable, and trusted across the organization.
• Have a proven track record of working with large, complex datasets, performing rigorous data exploration, debugging discrepancies, and maintaining high standards of accuracy under tight deadlines.
• Bonus skills include Python for advanced analysis, experience with paid-media analytics platforms, SEO best practices, and marketing experimentation or testing frameworks.

Nice to have

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Practical notes

The role is full-time.

You may work abroad for up to 3 months a year.

After 5 years of service, you are eligible for 1 month of paid sabbatical.

The position offers hybrid working flexibility.

Enhanced parental leave is provided.