BI Analyst

We are seeking a highly technical, data-driven BI 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 int