Manager, Media Analytics & Insights

About the role

The Manager of Media Analytics & Insights will lead the analysis and interpretation of paid, owned, and earned media performance, helping clients understand what happened, why it happened, and what actions they should take next.

Responsibilities

• Lead media analytics projects from initial business question through analysis, insight development, and client activation.
• Translate client objectives and campaign strategies into measurement plans, analytical requirements, and prioritized workstreams.
• Serve as a primary analytics partner to client media, marketing, agency, and measurement stakeholders.
• Manage project scope, timelines, risks, dependencies, and stakeholder expectations across one or more engagements.
• Ensure that media analytics deliverables are accurate, strategically relevant, and connected to clear business decisions.
• Identify opportunities to expand client relationships by connecting campaign analysis to broader measurement, customer analytics, and marketing technology needs.
• Own campaign performance analysis
• Oversee recurring and ad hoc analysis of media campaigns across paid search, paid social, programmatic, display, online video, connected television, audio, direct partnerships, and offline channels.
• Develop weekly, monthly, quarterly, and campaign-level performance narratives that clearly explain what happened, why performance changed, and what should happen next.
• Diagnose performance shifts using channel, campaign, audience, placement, publisher, geography, device, funnel-stage, and creative-level analysis.
• Evaluate media performance against campaign objectives, benchmarks, forecasts, and historical trends.
• Identify emerging opportunities, performance risks, and inefficient investment before they become material issues.
• Distinguish meaningful performance signals from normal variation, tracking issues, or misleading platform-reported results.
• Generate insights and optimization recommendations
• Translate complex campaign data into clear, actionable recommendations for media planners, channel owners, marketers, and executives.
• Identify opportunities to improve budget allocation, audience strategy, channel mix, creative performance, frequency management, and campaign execution.
• Partner with media teams to develop and evaluate optimization hypotheses.
• Assess whether optimization decisions are supported by sufficient evidence and clearly communicate limitations or uncertainty.
• Track whether recommendations were implemented and evaluate their subsequent impact.
• Connect media metrics such as impressions, reach, engagement, traffic, and conversions to broader customer and business outcomes.
• Develop media measurement approaches
• Build measurement frameworks and KPI structures aligned to campaign strategy, audience objectives, and business goals.
• Define success metrics and evaluation approaches for awareness, consideration, acquisition, engagement, conversion, and retention campaigns.
• Develop campaign learning agendas that establish the questions each campaign or test is expected to answer.
• Support test-and-learn programs by defining hypotheses, success criteria, test designs, and analytical readouts.
• Guide the interpretation of A/B tests, platform lift studies, geo experiments, audience tests, and creative tests.
• Help clients understand the appropriate roles and limitations of platform reporting, attribution, incrementality testing, marketing mix modeling, and other measurement approaches.
• Partner with data science and measurement teams on integrated solutions that connect campaign performance analysis with causal and business-outcome measurement.
• Ensure media data quality
• Oversee the integrity, completeness, and consistency of campaign data used for reporting and analysis.
• Identify and resolve discrepancies across media platforms, ad servers, site analytics, agency reports, and client data environments.
• Establish quality-assurance processes for campaign naming, taxonomies, tracking parameters, KPI definitions, and reporting outputs.
• Partner with media operations, analytics implementation, engineering, and MarTech teams to resolve tracking and data-quality issues.
• Document analytical assumptions, known data limitations, and implications for interpretation.
• Improve reporting and analytical processes through automation, standardization, and reusable tools.
• Partner across media and marketing teams
• Build strong relationships with client media, marketing, brand, agency, finance, analytics, and technology stakeholders.
• Serve as a strategic connection point among media activation teams, marketing scientists, data scientists, and business leaders.
• Facilitate working sessions that align stakeholders on campaign objectives, measurement priorities, performance findings, and recommended actions.
• Communicate analytical findings clearly to both technical and nontechnical audiences.
• Constructively challenge unsupported conclusions, weak measurement assumptions, or optimization decisions that are not grounded in evidence.
• Help clients establish more effective operating rhythms between campaign execution, performance analysis, and strategic decision-making.
• Manage and develop talent
• Manage and mentor analysts and senior analysts supporting media analytics engagements.
• Provide clear direction on analytical approaches, priorities, and expected outputs.
• Review analyses and deliverables for technical accuracy, analytical depth, strategic relevance, and communication quality.
• Help team members develop stronger media knowledge, analytical judgment, business acumen, and client-consulting skills.
• Create a collaborative environment with clear accountability, constructive feedback, and opportunities for professional growth.
• Contribute to the development of Blend’s media analytics methods, accelerators, case studies, training materials, and points of view.

Requirements

• Approximately 5–8 years of experience in media analytics, marketing analytics, digital analytics, advertising effectiveness, or a related field.
• Experience analyzing performance across multiple media channels, such as paid search, paid social, programmatic, display, video, connected television, audio, or offline media.
• Experience leading analytics projects and managing or mentoring analysts.
• Strong understanding of media metrics, campaign structures, buying approaches, optimization levers, and platform reporting.
• Demonstrated ability to move beyond descriptive reporting and develop actionable insights and recommendations.
• Experience developing campaign measurement plans, KPI frameworks, analytical requirements, and performance reporting strategies.
• Strong understanding of the marketing funnel and how channel objectives and KPIs differ across awareness, consideration, acquisition, and retention.
• Familiarity with attribution, incrementality testing, experimentation, and marketing mix modeling, including the strengths and limitations of each.
• Experience identifying and resolving campaign data, tracking, taxonomy, or reporting issues.
• Strong client-facing communication, presentation, facilitation, and stakeholder-management skills.
• Ability to structure ambiguous business questions into practical analytical approaches.
• Ability to manage multiple priorities and deliver high-quality work in a consulting or client-services environment.
• Bachelor’s degree in analytics, statistics, economics, marketing, business, mathematics, computer science, or a related field, or equivalent professional experience.

Relevant Technical Experience

• Media platforms such as Google Ads, Campaign Manager 360, Display & Video 360, Meta Ads Manager, LinkedIn Campaign Manager, Amazon Ads, The Trade Desk, or similar platforms
• Ad servers, demand-side platforms, social platforms, and media-planning or buying systems
• Adobe Analytics, Google Analytics 4, or similar digital analytics platforms
• SQL and cloud data environments such as Snowflake, Databricks, or BigQuery
• Data visualization platforms such as Tableau, Power BI, or Looker
• Media data aggregation and reporting platforms
• Experimentation, conversion-lift, brand-lift, or geo-testing methodologies
• Marketing mix modeling, multi-touch attribution, or other marketing-effectiveness approaches
• Python or R for advanced analysis and automation

Preferred Experience

• Consulting, media agency, advertising agency, or other client-services experience.
• Experience leading media analytics across multiple clients, brands, markets, or business units.
• Experience working directly with media planners, buyers, activation teams, and marketing leaders.
• Experience integrating media-platform data with site, CRM, sales, customer, or other business-outcome data.
• Experience evaluating audience, creative, channel, and campaign performance.
• Experience contributing to proposals, statements of work, solution design, or account growth.
• Experience in one or more industries such as financial services, healthcare, retail, telecommunications, travel, technology, or consumer products.
• Familiarity with emerging uses of AI in campaign analysis, insight generation, optimization, and media operations.