Analytics Manager

Walk-In Media is seeking an experienced, hands‑on Advertising Analytics Manager to join our in-house Media Analytics group. This pivotal role is responsible for paid media campaign measurement, attribution to client KPIs, and reporting across all media channels. The ideal candidate combines deep technical analytics expertise with confident client‑facing communication skills, and thrives in a fast‑paced, data‑driven agency environment with 4–6 years of relevant experience. We are looking for someone who brings analytical rigor and precision to measurement strategy, communicates findings with clarity to clients and internal stakeholders, and is genuinely excited about the evolving landscape of media data and attribution technology. Campaign Measurement & Attribution Design and implement end-to-end measurement frameworks for paid media campaigns across digital, social, search, programmatic, and traditional channels, ensuring accurate attribution to client-defined KPIs. Develop and maintain multi-touch attribution (MTA) models, media mix modeling (MMM) methodologies, and comparative analyses of last-touch vs. data-driven attribution approaches. Collaborate with Paid Social, Paid Search, and Programmatic teams to ensure tracking and tagging are correctly implemented end-to-end — from pixel setup through platform reporting feeds. Work with internal and external analytics teams to validate campaign tracking in Google Campaign Manager (CM360), Google Tag Manager, and all major social and search ad platforms. Partner with clients to define KPIs, establish performance baselines, and set measurement benchmarks aligned to business outcomes including ROAS, CPA, brand lift, and sales attribution. Manage incrementality testing, A/B experimentation, and conversion lift studies to evaluate media effectiveness and inform ongoing optimization strategy. Oversee the design and delivery of high-quality, client-ready reports and dashboards that translate complex data into clear, actionable narrative insights. Build, maintain, and continuously improve automated reporting pipelines and dashboards using Tableau, Power BI, Looker/Google Data Studio, and/or Datorama. Leverage API-based data aggregation tools — including Funnel.io and Supermetrics — to consolidate multi-platform media data into unified reporting environments; proficiency with these tools is required. Translate complex analytical findings into compelling data stories and visualizations for both technical and non-technical audiences, including clients and senior leadership. Develop post-campaign wrap reports documenting results, key learnings, and strategic recommendations for future activity. Ensure consistency and accuracy across all reporting deliverables; establish and maintain QA standards and departmental reporting protocols. Data Strategy & Advanced Analytics Develop and execute comprehensive data-driven strategies aligned with client business objectives, ensuring analytics capabilities scale alongside account growth. Apply advanced statistical modeling techniques including regression analysis (GLM, logistic), predictive modeling, and machine learning algorithms to surface actionable optimization opportunities. Apply econometrics and marketing mix modeling (MMM) expertise to evaluate media efficiency and support budget allocation and channel mix recommendations. Manage and optimize processes for data intake, validation, transformation, and engineering to ensure pipeline reliability, data quality, and downstream accuracy. Stay current on data privacy regulations (GDPR, CCPA) and ensure all analytics practices comply with applicable standards and platform policies. Client Engagement & Cross-Functional Collaboration Manage day-to-day client communications regarding analytics deliverables, measurement strategy, and campaign insights through email updates, weekly status calls, and in-person meetings. Serve as the analytics point-of-contact for assigned accounts, proactively identifying opportunities for deeper measurement, testing, and insight generation. Collaborate with internal teams — Paid Social, Paid Search, Programmatic, Account Management, Creative, and Finance — and external client and vendor partners to align on data needs and deliverable timelines. Support new business pitches by presenting Walk-In Media’s analytics and measurement capabilities, including case studies, benchmarks, and a forward-thinking point of view on attribution methodology. Foster positive relationships with inter-agency partners domestically and internationally across the Walk-In Media network. Process, Operations & Innovation Create and maintain internal and client-facing campaign tracking documentation, status reports, and analytics workflow tools; manage multiple client projects simultaneously with high attention to detail. Develop and implement scalable processes, QA standards, and playbooks for data collection, validation, reporting, and analysis that can be applied consistently across Walk-In Media’s account portfolio. Identify, evaluate, and recommend new tools, methodologies, and data sources to enhance the analytics team’s capabilities and reporting efficiency. Stay ahead of industry trends, platform measurement updates, and emerging analytics technologies; share knowledge regularly with internal teams to drive continuous improvement. Qualifications & Requirements Experience 4–6 years of hands‑on experience in advertising/media analytics, with at least 2 years in an agency environment managing client-facing measurement, attribution, and reporting. Proven track record of driving measurable client business outcomes through data-driven insights, attribution analysis, and performance reporting. Experience managing client relationships directly, including leading performance calls, presenting insights, and communicating complex findings to both technical and non-technical stakeholders. Bachelor’s degree in Statistics, Mathematics, Marketing Analytics, Computer Science, or a related field; Master’s degree preferred. Technical Skills — Required Expert-level proficiency in paid media measurement and attribution: MTA, MMM, incrementality testing, and conversion tracking across all major ad platforms. Hands‑on experience with ad‑tech platforms: Google Campaign Manager (CM360), Google Tag Manager, and major social and search ad manager accounts. Must‑have proficiency in API‑based data aggregation and connector tools: Funnel.io and Supermetrics are required; experience with similar platforms (e.g., Windsor.ai, Improvado, Adverity) is a plus. Proficiency in data visualization tools: Tableau, Power BI, Google Looker/Data Studio, and/or Datorama. Working knowledge of web analytics platforms: Google Analytics 4 (GA4) and/or Adobe Analytics. Strong SQL skills for data extraction, manipulation, and analysis across large datasets. Proficiency in Python or R (with libraries such as pandas, NumPy, SciPy) for statistical modeling, data manipulation, and analysis. Advanced Excel proficiency for campaign performance tracking, pivot analysis, and client reporting. Solid understanding of statistical modeling techniques including regression analysis, predictive modeling, and ideally econometrics/MMM. Technical Skills — Preferred Experience with social media analytics tools such as Sprout Social, Brandwatch, or Meta/Facebook Insights. Familiarity with A/B testing and experimentation platforms: Optimizely, Google Optimize, or VWO. Experience with data management platforms (DMPs) or data clean rooms: InfoSum, LiveRamp, or Lotame. Familiarity with cloud data warehouses such as BigQuery, Snowflake, or Redshift. Experience with CRM or marketing automation platforms such as Salesforce SFMC, HubSpot, Marketo, or Adobe Campaign. Core Competencies Exceptional data storytelling ability: translating complex, large-scale datasets into clear narratives and actionable recommendations for both technical and non-technical stakeholders. Highly organized with exceptional attention to detail; able to manage multiple clients, campaigns, and reporting deadlines simultaneously without sacrificing quality. Proactive, self‑motivated, and resourceful — identifies data quality issues or measurement gaps before they elevate and brings solutions rather than just questions. Strong written and verbal communication skills; comfortable representing Walk-In Media in client‑facing situations and presenting insights to senior stakeholders. Adaptable and eager to learn in a fast‑paced, evolving media and data landscape; knowledge of A/B testing, CRO, and experimentation methodologies is a strong plus. Collaborative team player who works effectively across Paid Social, Paid Search, Programmatic, Account Management, and Creative disciplines. Tools Summary Must Have API Data Connectors: Funnel.io, Supermetrics (required); Windsor.ai, Improvado, Adverity (plus) Digital & Web Analytics: Google Analytics 4 (GA4), Adobe Analytics, Mixpanel Statistical Analysis & Coding: Python (pandas, NumPy, SciPy), R, SQL Social Media Analytics: Sprout Social, Brandwatch, Hootsuite, Facebook/Meta Insights Nice to Have CRM & Marketing Automation: Salesforce SFMC, HubSpot, Marketo, Adobe Campaign, Pardot Cloud Data Warehousing: BigQuery, Snowflake, Redshift #J-18808-Ljbffr Walk-In Media