Skip to content
829studios

Insights & Measurement Analyst

RemoteRemote · region unclear
FullTime · Data & Analytics
POSTED 15 SEPT
Apply Ask
Role
55 days opentrue age
Posted 15 Sept
Company829studios →
15open roles
Opened · 30d
+1
Closed · 30d
−2
5d of snapshots · 30d window
Market
416,876open · Other
Opened · 7d
+21,7825% of open
All other
624,589open
All tracked boards · live 10 Nov · n=416,876
SnowflakeSQL

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

Source · 829studiosFirst seen 4 NovOriginal ↗