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 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

Cross-Functional Partnership

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

What You'll Bring

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

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)

Benefits and Perks We Provide

Remote Workplace. You have the option to work at our office in Boston or remotely in one of these states: AZ, CA, CO, CT, FL, ID, IL, KY, ME, MD, MA, MI, MO, NV, NH, NJ, NY, NC, SC, OH, OK, PA, RI, TN, TX, UT, VA, VT.

Paid Time Off. Receive generous paid vacation benefits that increase each year you’re with us, 12 Company Holidays, and Summer Fridays from Memorial Day through Labor Day.

401K + Match. 401K plan with 4% Safe Harbor employer match after one year of employment and financial literacy services provided through our retirement provider.

Life Insurance Benefit. No-cost coverage to ensure peace of mind for your family.

Short Term Disability Benefit. We've got you covered if you need to be OOO with an illness or injury that keeps you out of work.

Healthcare. Choose from several competitive healthcare plans for you and your family with 80% employer coverage for all medical and dental premiums, 100% employer coverage for vision, and the option to participate in the FSA program.

Commuter Benefits. Allocate pre-tax funds towards your commute to save up to 40% per year in transportation expe