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Remote Media Science Jobs in Chicago, IL (NOW HIRING)

D.W. Simpson

Consulting Actuary - Remote

Chicago, IL · On-site +1

$185K/yr

In this role, you will partner with analysts & data scientists to scope & execute actuarial ... Remote Meet Your Recruiter Arturo Aguilera Director, Social Media & Marketing Arturo joined DW ...

Fusion92

Fusion92 Talent Pipeline

Chicago, IL · On-site +1

We unite data scientists, media buyers, copywriters, technologists, developers, consultants, coders ... If you're curious and looking for a remote-flexible, integrated team where you can fearlessly ...

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All JobsMedia Science JobsRemote Media Science JobsRemote Media Science Jobs in Chicago, IL

Remote Media Science information

See Chicago, IL salary details

$86K

$130.9K

$176.2K

How much do remote media science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote media science in Chicago, IL is $130,860.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,300.00 and $147,800.00 per year, depending on experience, location, and employer.

What is the difference between Remote Media Science vs Remote Data Analyst?

AspectRemote Media ScienceRemote Data Analyst
Required CredentialsBachelor's in Media, Communications, or related fields; knowledge of media analytics toolsBachelor's in Statistics, Data Science, or related fields; proficiency in data analysis software
Work EnvironmentRemote, media agencies, marketing teamsRemote, corporate, or consulting firms
Industry UsageMedia, advertising, marketingBusiness, finance, healthcare
Common Search/ComparisonYesYes

Remote Media Science and Remote Data Analyst roles share similarities in data analysis skills and remote work settings. However, Media Science focuses on analyzing media campaigns and audience engagement, while Data Analysts work with broader datasets across industries. Both roles require analytical skills and familiarity with data tools, but their industry focus and specific tools differ.

What are the most commonly searched types of Media Science jobs in Chicago, IL? The most popular types of Media Science jobs in Chicago, IL are:
What are popular job titles related to Remote Media Science jobs in Chicago, IL? For Remote Media Science jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Remote Media Science jobs in Chicago, IL look for? The top searched job categories for Remote Media Science jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Remote Media Science jobs? Cities near Chicago, IL with the most Remote Media Science job openings:
Remote Media Science jobs near you
Infographic showing various Remote Media Science job openings in Chicago, IL as of July 2026, with employment types broken down into 1% Internship, 1% As Needed, 72% Full Time, 23% Part Time, and 3% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $130,860 per year, or $62.9 per hour.

Senior Director, Media Analytics & Strategy

Fusion92

Chicago, IL • On-site, Remote

Full-time

Posted 13 days ago

Job description

Description
Fusion92 is building the future of marketing through an unparalleled, data-driven approach to solving our clients' toughest problems. We call ourselves a Marketing Transformation Partner for clients, as through a culture of curiosity, fearlessness, teamwork and leadership, we turn our expertise toward creating new paths forward where our services and technology together unlock unprecedented growth.
We're an independent, national enterprise based in Chicago with hubs in Detroit, Austin and Denver. Fusion92 is committed to a diverse, equitable, inclusive workplace that drives a positive impact in our global community.
We are experts across every field and discipline in marketing.
Fusion92 is for those who are obsessed with curiosity and innovation. We unite data scientists, media buyers, copywriters, technologists, developers, consultants, coders, UX/UI specialists, designers, strategists, producers, operations pros and more to deliver real results and to give answers to the unanswerable.
We launch products, we have patented innovations, we create award-winning ideas - we transform businesses. We are dreamers and doers, and we are ready for you to join us.
Our difference is our people. That's where you come in.
If you're curious and looking for a remote-flexible, integrated team where you can fearlessly collaborate and deliver best-in-class work, join us!
Role Overview
The Senior Director, Media Analytics & Strategy leads the planning, execution, and delivery of measurement and analytics across enterprise client engagements and internal initiatives. This role carries a strong emphasis on strategic consulting, hands-on analytical rigor, team leadership, and translating complex marketing and media data into clear business intelligence that improves performance, optimizes investment, and unlocks growth.
The Senior Director is responsible for the quality, consistency, and strategic value of analytics outputs across a portfolio of clients. This includes reporting and dashboards, advanced measurement, experimentation, attribution, customer and audience analytics, data management, and cross-channel performance optimization.
This leader will serve as a trusted analytics advisor to senior client stakeholders while partnering closely with media strategy, data science, engineering, technology, creative, and client services teams. The role also plays a critical part in strengthening Fusion92's application of AI, automation, predictive analytics, and emerging technologies to improve speed, insight quality, decision-making, and scalability across the analytics function.
What You'll Do
Analytics Delivery & Client Impact
  • Lead analytics planning, prioritization, and day-to-day resource allocation across a portfolio of enterprise client accounts and internal initiatives.
  • Stay closely involved in execution to ensure analytics deliverables are accurate, consistent, strategically relevant, and aligned with client business objectives.
  • Serve as a primary client-facing analytics leader within account teams, building trusted advisor relationships with senior marketing leaders and executive stakeholders.
  • Translate complex media, marketing, customer, and performance data into clear recommendations that connect directly to business outcomes.
  • Develop measurement strategies and analytics roadmaps that align media investment with broader organizational priorities and growth objectives.
  • Partner with client stakeholders to define KPIs, measurement plans, success metrics, and performance frameworks across paid, owned, earned, and retail media.
  • Review and approve dashboards, analyses, presentations, and strategic recommendations to ensure quality, clarity, and relevance for executive audiences.
  • Partner with media planning, activation, strategy, and client services teams to ensure analytics informs investment decisions, campaign planning, and ongoing optimization.
  • Present analytical findings and recommendations to C-suite executives, senior marketing leaders, and other key client stakeholders.

Advanced Measurement & Performance Analytics
  • Lead the development and execution of advanced media measurement strategies across client engagements.
  • Apply a range of measurement approaches, including marketing mix modeling, multi-touch attribution, incrementality testing, experimentation, media effectiveness studies, customer journey analytics, audience measurement, retail media analytics, and cross-channel performance analysis.
  • Develop scalable measurement frameworks, testing plans, analytical methodologies, and performance standards that can be applied consistently across accounts.
  • Translate complex analytical findings into clear recommendations that improve media efficiency, marketing effectiveness, customer engagement, and return on investment.
  • Guide optimization strategies that connect campaign and platform performance to broader customer, revenue, and business outcomes.
  • Partner with data science teams on predictive modeling, forecasting, audience segmentation, behavioral analytics, and other advanced analytical solutions.
  • Evaluate data quality, measurement limitations, and methodological trade-offs to help clients make informed decisions.
  • Ensure measurement approaches evolve alongside changes in privacy regulations, identity solutions, media platforms, technology, and consumer behavior.
  • Establish best practices for analytical storytelling, data visualization, documentation, governance, and methodological consistency.

AI, Automation & Analytics Innovation
  • Identify and apply practical AI and automation opportunities across analytics workflows to improve delivery speed, insight quality, scalability, and team efficiency.
  • Partner with data science, engineering, technology, and product leadership to integrate AI into reporting, forecasting, measurement, and optimization workflows.
  • Evaluate and apply predictive analytics, machine learning, generative AI, and emerging analytical technologies to solve client and business challenges.
  • Guide the development of scalable analytics products, automated reporting solutions, and internal tools that reduce manual work and increase decision velocity.
  • Translate emerging AI capabilities into practical, responsible, and commercially relevant solutions for clients.
  • Champion a culture of experimentation and continuous improvement while maintaining appropriate standards for data integrity, privacy, governance, and quality.
  • Leverage AI-enabled tools as a regular part of individual and team workflows, setting expectations for thoughtful adoption across the analytics function.
  • Stay current on emerging analytics platforms, measurement technologies, AI developments, and changes within the media and marketing ecosystem.

Team Leadership & Development
  • Lead, mentor, and develop a high-performing team of analytics professionals.
  • Foster strong execution discipline, analytical rigor, curiosity, accountability, and clear client communication across the team.
  • Operate as a player-coach, providing hands-on guidance and direct support on complex client challenges, advanced analyses, and high-priority deliverables.
  • Establish clear expectations, operating standards, and quality controls across analytics engagements.
  • Build career development plans, skill-building opportunities, and learning paths with an emphasis on advanced measurement, consulting capability, technical development, and AI literacy.
  • Elevate the team's ability to move beyond reporting and communicate strategic, commercially relevant insights.
  • Support workload planning, resource allocation, performance management, and succession planning across the analytics function.
  • Foster a collaborative and inclusive team culture grounded in curiosity, experimentation, continuous learning, and shared accountability.

Cross-Functional Collaboration & Growth Support
  • Collaborate closely with media, creative, strategy, data science, engineering, technology, product, and client services teams to deliver integrated, insight-driven solutions.
  • Act as the bridge between business stakeholders and technical teams, ensuring analytics initiatives are appropriately prioritized, scoped, resourced, and executed.
  • Partner with internal teams to strengthen Fusion92's proprietary marketing technology, analytics products, data platforms, and measurement capabilities.
  • Support new business efforts, including RFPs, pitches, proposals, and client growth opportunities, by articulating measurement strategies, analytics capabilities, and business value.
  • Contribute to the development of new analytics services, products, tools, methodologies, and commercial offerings.
  • Partner with internal and external data, analytics, media, and technology providers to expand organizational capabilities.
  • Contribute to best-practice development, thought leadership, knowledge sharing, and capability building across the analytics discipline.
  • Help shape the future direction of Fusion92's media analytics, AI, and data-driven marketing capabilities.

Requirements
What You'll Bring
  • 10+ years of experience in media analytics, marketing analytics, data strategy, customer intelligence, business intelligence, or a related discipline.
  • Experience leading analytics within a marketing agency, consulting firm, media organization, or complex enterprise marketing environment.
  • 3+ years of experience directly leading, mentoring, and developing analytics teams.
  • Deep understanding of the media and marketing ecosystem, including measurement, attribution, experimentation, optimization, audience strategy, and cross-channel performance.
  • Demonstrated experience advising executive stakeholders and presenting analytics, measurement strategies, and business recommendations to senior client leadership.
  • Strong experience across several advanced measurement disciplines, including Marketing Mix Modeling, Multi-Touch Attribution, incrementality testing, experimentation, media effectiveness, digital analytics, customer analytics, retail media analytics, or audience measurement.
  • Hands-on experience with business intelligence, analytics, reporting, and data visualization tools such as Tableau, Power BI, Looker, Salesforce Marketing Cloud Intelligence, or similar platforms.
  • Working knowledge of SQL and experience with Python, R, or comparable analytical programming tools.
  • Familiarity with modern cloud data environments and platforms such as Snowflake, Databricks, BigQuery, Redshift, or similar technologies.
  • Working knowledge of data warehousing, data integration, automation, data modeling, and analytics infrastructure.
  • Demonstrated experience applying or partnering on predictive analytics, machine learning, generative AI, and AI-enabled marketing or analytics solutions.
  • Strong analytical judgment with the ability to evaluate data quality, understand methodological trade-offs, and move from analysis to action.
  • Executive presence with the ability to communicate clearly, influence decisions, and build credibility with clients, team members, and senior internal stakeholders.
  • Excellent written and verbal communication skills, including experience developing executive-level narratives, strategic presentations, and client recommendations.
  • Comfort operating in a hands-on capacity, including direct engagement with data, dashboards, reporting platforms, analytical methodologies, and client deliverables when needed.
  • A consultative mindset with the ability to connect analytical findings to client strategy, media investment, customer behavior, commercial outcomes, and organizational growth.
  • The ability to balance innovation, speed, scalability, and experimentation with appropriate standards for accuracy, governance, privacy, and analytical rigor.

What Success Looks Like
  • Analytics outputs are consistently tied to meaningful business outcomes, trusted by clients, and valued as essential inputs into planning and decision-making.
  • Client relationships are strengthened through clear communication, reliable delivery, executive-level consulting, and proactive insights that go beyond standard reporting.
  • Measurement frameworks, testing roadmaps, and analytical methodologies are clearly defined, consistently applied, and evolving in step with client and market needs.
  • Media investment decisions are increasingly informed by advanced measurement, customer insights, experimentation, and cross-channel performance analysis.
  • The analytics team operates with strong execution discipline, high morale, clear accountability, and growing capability in advanced analytics, consulting, and AI-enabled workflows.
  • AI and automation are integrated into everyday analytics workflows, improving speed, scalability, and insight quality without compromising rigor, privacy, or governance.
  • Cross-functional collaboration is seamless, with analytics actively informing media planning, activation, customer strategy, creative development, technology, and client growth.
  • New analytics products, tools, and methodologies improve the organization's ability to deliver scalable and differentiated client solutions.
  • The Senior Director is recognized internally and externally as a credible, trusted analytics leader who elevates the quality of the work, strengthens client relationships, and develops the people around them.

The hiring range for this role is $135,000 - $160,000. Where an employee is paid within this range will depend on multiple factors including, but not limited to location, years of experience, education, internal pay structure, and other contributing factors.
Disclaimer: All qualified candidates will receive consideration for employment without regard to age, race, creed, color, national origin, ancestry, marital status affectional or sexual orie

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