Insights & Measurement Analyst
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We are seeking a highly technical, data-driven Insights & Measurement Analyst to support a small number of high-value enterprise accounts. This role is built for someone who lives in large, complex datasets and turns them into clear, decision-grade insights. Working alongside an Account, Strategy and Media Directors, you will own the analytical layer for each assigned client - generating performance insights, producing forecasts, and surfacing the patterns that drive business outcomes. You will operate fluently inside client-owned data warehouses such as BigQuery, Snowflake, and Sigma, build BI environments in tools like Power BI/Tableau, and translate ambiguous business questions into structured analytical work. This role centers on developing a deep quantitative understanding of each client's business and using that fluency to inform strategy, investment, and forecasting decisions. The position plays a critical cross-functional role between Strategy, Paid Media, Client Services, and Analytics.
What You'll Do
Data Analysis & Insight Generation
Synthesize large, multi-source datasets across paid media, web, CRM, ecommerce, offline conversions, and call tracking into clear performance narratives
Conduct deep-dive analyses on channel contribution, funnel efficiency, audience segmentation, LTV, CAC, MER, and cohort behavior
Surface hidden patterns, anomalies, and opportunities by applying statistical methods to complex, multi-dimensional datasets
Translate raw data into business-aligned insights tied to revenue, pipeline, retention, and growth outcomes
Partner with Strategy leadership to inform testing roadmaps, investment decisions, and budget reallocation
Forecasting & Predictive Modeling
Build and maintain forecasting models for revenue, spend, CAC, ROAS, CPA, and other KPIs across paid channels, ecommerce, and lead-gen environments
Develop scenario models (baseline vs. optimized) that project incremental opportunity from strategic shifts
Apply seasonality decomposition, time-series methods, and regression-based projection techniques
Quantify the financial impact of audit findings, optimization recommendations, and budget changes
Surface leading indicators of underperformance before they appear in lagging metrics
Business Intelligence & Data Visualization
Build and maintain BI environments using tools such as Power BI, Looker, Tableau, and Sigma
Design semantic data models, DAX measures, and reusable datasets that scale across clients and account types
Build executive-ready dashboards that translate complex datasets into clear, narrative-driven views of performance
Establish single-source-of-truth reporting frameworks that reconcile platform data with CRM and ecommerce truth
Optimize query performance, data refresh patterns, and cost efficiency across BI infrastructure
Working Within Client Data Environments
Operate fluently inside client-owned data warehouses, including BigQuery, Snowflake, and Sigma, to query, model, and analyze marketing and business data
Write performant SQL against client schemas to build the datasets, views, and aggregations that power analysis and reporting
Develop attribution logic in the warehouse layer (multi-touch, last-click, position-based, custom blends) using whatever stack the client provides
Adapt to varying data architectures, naming conventions, and governance models across enterprise client environments
Partner with client data teams to align on definitions, source-of-truth logic, and access patterns
Support offline conversion pipelines via platform APIs (Google Ads, Meta CAPI) where data engineering input is required
Measurement Foundation & Data Integrity
Validate that conversion tracking, attribution logic, and data flow across Google Ads, Meta, LinkedIn, TikTok, GA4, and CRM environments feed the warehouse cleanly and consistently
Partner with tag management specialists to translate analytical requirements into data layer specifications
Identify discrepancies between platform reporting and source-of-truth, and trace them to root cause