BI Analyst

829 Studios•Boston, MA

3d•$80,000 - $90,000•Remote

About The Position

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.

Requirements

6+ years of experience in digital analytics, business intelligence, marketing data science, or a closely related discipline
Expert-level SQL with hands-on experience working inside client-owned warehouses such as BigQuery, Snowflake, and Sigma: CTEs, window functions, materialized views, and cost-aware query design
Advanced BI proficiency: data modeling, DAX, Power Query, performance optimization, and row-level security
Strong adoption and comfort with AI tools including Claude Code, Cursor or Codex.
Proven experience working within client data environments to unify paid media, web, CRM, and revenue data into analysis-ready datasets
Strong working knowledge of GA4, Google Ads, Meta Ads, and the underlying data structures of each platform's exports and APIs
Demonstrated experience building forecasting models using time-series methods, regression, or scenario-based modeling
Hands-on Python (preferred) or R for statistical analysis, pandas-based data manipulation, and reproducible analytical workflows
Strong understanding of multi-touch attribution, marketing mix concepts, and cross-channel measurement principles
Experience with offline conversion tracking, CRM integrations (HubSpot, Salesforce), and call tracking platforms (CTM, Marchex)
Demonstrated ability to translate ambiguous business questions into structured analytical work
Exceptional documentation, communication, and storytelling skills across both technical and executive audiences

Nice To Haves

Familiarity with Looker Studio, Tableau, or other secondary BI surfaces (preferred)
Working familiarity with GTM and GA4 implementation - sufficient to specify and validate, not necessarily build (preferred)
Experience with marketing mix modeling, incrementality testing, or geo-experiments (preferred)
Familiarity with ETL and transformation tooling such as Fivetran, Stitch, or dbt (preferred)
Experience designing or architecting marketing data warehouses from scratch (preferred, not required)

Responsibilities

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
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
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
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
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
Enforce consistent event taxonomies, UTM structures, and naming conventions at the data layer
Ensure analytical outputs respect privacy frameworks and consent management requirements
Act as the analytical counterpart to the Strategy Director or Enterprise Account Director on assigned enterprise accounts
Serve as the agency's go-to voice for diagnosing performance issues, sizing opportunities, and pressure-testing strategic hypotheses with data
Translate technical findings into language that resonates with C-level client stakeholders
Collaborate with Paid Media, SEO, Client Services, and Strategy teams to align analytical outputs with execution