We are seeking a Senior Measurement & BI Analyst to serve as the structural backbone and visualization engine of our marketing operations team. In this role, you will bridge the gap between technical data structures and business strategy, translating complex datasets into clear, compelling narratives for marketing and executive leadership.
Working directly under the Lead Measurement & BI Architect, you will manage the data intelligence layer connecting our marketing stack, Salesforce (CRM), and cloud data warehouses. You will have primary ownership over marketing data hygiene, metric performance packages, self-service dashboard scalability, and the operational design of automated reporting that proves marketing ROI. This is a highly collaborative role that requires deep analytical skill, structural discipline, and the communication prowess to present complex performance trends to a global audience.
Responsabilities:
Executive Storytelling: Own the end-to-end design of executive dashboards (Looker) and reporting packages (MBRs/QBRs) to showcase marketing ROI and revenue impact.
Self-Service & KPIs: Build standardized reporting templates to drive self-service adoption globally and align cross-functional KPI frameworks.
Advanced Attribution: Partner on the implementation of Multi-Touch Attribution (MTA) and Media Mix Modeling (MMM) frameworks.
Funnel & Business Logic: Analyze funnel velocity, lead flow, and shifts in core metrics (like MQL logic) to ensure downstream reporting accuracy.
Martech Integration: Optimize and troubleshoot data workflows and syncs across Pardot, ABM platforms, and Salesforce (CRM).
Data Pipelines & Tracking: Collaborate on automated ETL/ELT pipelines into GCP/BigQuery and audit campaign tracking (UTMs, tags, pixels).
Data Governance & QA: Maintain rigorous documentation of data schemas and establish automated QA checks to ensure a single source of truth.
Global Collaboration: Independently drive complex data projects and present strategic insights in professional English to global stakeholders.
Experience & Education
6+ years of experience in Marketing Analytics, Business Intelligence, Marketing Operations, or Revenue Analytics, with a clear track record of delivering end-to-end visual reporting projects.
Bachelor’s degree in Business Analytics, Information Systems, Computer Science, Finance, or equivalent practical experience.
Fluent, native, or bilingual English proficiency (both spoken and written).
Outstanding presentation, storytelling, and technical documentation skills are mandatory.
Advanced SQL: Essential for writing complex queries, window functions, and data transformations.
Cloud Infrastructure: Professional experience with GCP / BigQuery / Databricks (or AWS equivalent).
Data Visualization: High-level mastery of Tableau or Looker (Looker Studio/Looker BI).
Programming Languages: Foundational knowledge of Python or R for data preparation is a strong plus.
Platform Knowledge: Deep familiarity with the data schemas of Account Engagement (Pardot), CRM (Salesforce), ABM Platforms, Google Analytics (GA4), and Google Tag Manager (GTM).
Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.
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Salary: $110,000 - $140,000
🤖 This salary estimate is calculated by AI based on the job title, location, company, and market data. Use this as a guide for salary expectations or negotiations. The actual salary may vary based on your experience, qualifications, and company policies.
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