SENIOR ANALYTICS MANAGER JOB DESCRIPTION

Senior Analytics Manager means knowing which content bets will pay off before the editorial team makes them. This role owns the measurement layer that connects audience behavior to revenue outcomes, covering traffic forecasting, A/B testing programs, and the data integrity standards that make both possible. It sits within the digital intelligence function of a publishing or media organization, answering to digital leadership while serving editorial, audience development, and monetization teams. The work is specific: page-level conversion trends, comScore-grade competitive benchmarking, and seasonal traffic modeling, none of which a generalist analyst can own at this depth.

As the Senior Analytics Manager, you translate audience behavior data into content and monetization decisions that directly move traffic and revenue outcomes for a major digital media brand. You operate across editorial, product, and audience development functions, with your forecasts and testing plans informing both daily publishing priorities and long-term platform strategy.

Career Impact: Owning traffic forecasting and A/B testing programs at a named media brand builds the kind of portfolio credibility that opens doors to Director-level analytics leadership in digital publishing.

Business Impact: The editorial and audience development teams make content investment decisions based on the forecasts and behavioral insights this role produces, making the work directly traceable to traffic and monetization outcomes.

Growth Opportunity: Expanding from single-brand analytics into multi-brand or cross-platform measurement is a natural next step, with the competitive benchmarking and data integrity experience gained here transferable to larger media groups or platform-side roles.

• Develop and maintain rolling traffic forecasts across content distribution platforms to support editorial and revenue planning.
• Design A/B and multivariate testing programs across site experiences to improve audience engagement and on-site conversion rates.
• Audit data integrity across all analytics configurations and tag management containers to ensure reporting accuracy across brands and acquisitions.
• Monitor audience behavior patterns and seasonal traffic trends to inform content creation priorities and publishing workflows.
• Collaborate with editorial, audience development, and product teams to translate behavioral data into actionable content growth strategies.
• Conduct competitive audience research using syndicated measurement services to identify content gaps and benchmark brand performance.
• Build and maintain executive-facing dashboards and aggregate reports consolidating data across search, analytics, and competitive intelligence sources.
• Support due diligence analysis for potential brand or content acquisitions by providing traffic and audience performance assessments.

• Bachelor's degree in marketing, communications, statistics, or a related field, or equivalent work experience.
• 4 or more years of digital analytics experience in a publishing, media, or content marketing environment, with demonstrated ownership of traffic reporting.
• Proven ability to design and execute multivariate testing programs to optimize audience engagement and conversion.
• Experience auditing analytics platform configurations and tag management systems to maintain data integrity across multiple brands.
• Strong proficiency in competitive audience measurement methodologies and panel-based measurement interpretation.
• Ability to synthesize data from multiple sources into a single, coherent narrative for editorial and executive stakeholders.
• Excellent written and verbal communication skills, with experience presenting analytical findings to senior leadership.

• Experience supporting M and A diligence cycles by evaluating traffic quality and audience composition of acquisition targets.
• Familiarity with affiliate or commerce-driven content analytics, including attribution modeling for revenue-generating editorial placements.
• Working knowledge of SEO performance measurement and search algorithm update impact assessment.
• Experience building aggregate reporting environments that consolidate API-sourced data across search, analytics, and competitive intelligence platforms.

• Monthly unique visitor trend vs. forecast, measuring accuracy of traffic projection models.
• A/B test velocity, tracking the number of experiments completed and yielding statistically significant results per quarter.
• Data integrity audit pass rate, reflecting the percentage of analytics configurations validated without errors across all tracked brands.
• Competitive rank by comScore or equivalent panel metric within the primary content category.
• Audience engagement rate per content vertical, measuring scroll depth or time-on-page trends against editorial benchmarks.
• Typical tools: Web analytics platforms (commonly Google Analytics or Adobe Analytics); BI and visualization (commonly Looker or Google Data Studio); SEO and competitive intelligence (commonly Ahrefs or SEMrush)

• Base Salary Range: $105,000 to $145,000 annually, depending on market and experience.
• Bonus: Annual performance bonus of 8 to 15 percent of base salary.
• Equity: Equity participation varies; more common at venture-backed or publicly traded media companies.
• Health Benefits: Medical, dental, and vision coverage; employer contribution rates vary by organization.
• PTO: 15 to 20 days annually, plus standard US public holidays.
• Common Perks: Remote or hybrid flexibility, professional development budget, and media industry event access.

Figures are estimates based on general US market benchmarks and may be outdated. Adjust based on location, company size, and seniority level.

Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, genetic information, veteran status, or any other characteristic protected under applicable federal, state, or local law. Candidates who require a reasonable accommodation during the application or interview process are encouraged to make that need known, and accommodations will be provided in compliance with the Americans with Disabilities Act. A background check is required as a condition of employment. All candidates must be authorized to work in the United States before beginning employment.

The Senior Analytics Manager within Audible's Global Insight and Data Science group owns the surfacing of data-driven strategic opportunities for executive leadership and core business functions including content, marketing, product, and new growth. Working closely with both tech and non-tech executives, this role shapes the strategic direction of the business by delivering analytics and data science products that drive decisions and improve organizational efficiency.

Key Responsibilities

• Surface data-driven strategic opportunities for executive leadership and core business functions including content, marketing, product, and new growth.
• Develop strategic, operational, economic, and financial analysis to frame and drive decisions.
• Drive discussions on insights, goals, tenets, narratives, MBR/QBRs, and status with both tech and non-tech executives.
• Deliver the right technical solution, such as analytics or data science products, to influence strategic direction and improve organizational efficiency.
• Design and develop KPIs, scorecards, dashboards, and other communications to track initiative and business performance.
• Frame hypotheses, decisions, and assumptions into a testable structure and develop robust experimental designs.
• Build and lead the development of analytics, BI, and data science deliverables.
• Communicate and influence business leaders with compelling insights to shape strategy and drive adoption of new data science tools.
• Become the go-to expert on micro- and macro-economic and industry trends and their impact on the business.
• Partner with business leaders to understand strategic challenges and deliver timely and relevant intelligence.
• Establish and maintain senior management scorecards and MBR/QBR materials, and drive or contribute to executive meetings.
• Lead by example and provide ongoing mentorship and guidance to the wider insights team and associated project teams.

Required Qualifications

• Degree in science, economy, technology, mathematics, or a related field, with an advanced degree or MBA preferred.
• 5+ years of relevant experience in strategic analytics, business intelligence, data science, or consulting in a digital environment.
• Strong experience in spearheading or supporting business initiatives through data-driven decision frameworks, including conception, execution, and measurement of experimental A/B plans.
• Hands-on experience developing data-driven products such as ML models and forecasting tools, and sharing business recommendations with stakeholders.
• Understanding of ecommerce analytics, marketing analytics, experimentation and A/B testing, membership and loyalty analytics, and revenue management techniques.
• Expertise in scripting languages such as SQL, Python, R, and SAS.
• Experience developing visualization tools such as Tableau, Microstrategy, and Shiny.
• Excellent problem-solving skills with the ability to work under pressure and tight deadlines.
• Active listener with a keen ability to read situations, understand audiences, and connect the dots.

Embedded within the Credit Abuse and First Party Fraud COE of Corporate Risk, the Senior Analytics Manager leads a team of analysts to build a centralized fraud mitigation framework across the customer lifecycle. Working closely with first-line defense teams, business unit stakeholders, and senior leadership, this role advances fraud detection strategies and delivers risk management insights that reduce losses across consumer lending lines of business.

Core Functions

• Manage a team of analysts and guide them toward collective deliverables as the Credit Abuse and Fraud COE is built.
• Engage and influence peers, management, and experienced leaders company-wide.
• Identify and recommend opportunities to transform data into actionable information that drives business outcomes, strategies, and risk control development.
• Manage modeling, forecasting, reporting, and data distribution tools and processes requiring significant technical complexity.
• Develop and manage monthly business reports providing fraud risk management insights for various consumer lending lines of business.
• Develop a data structure that allows for deep-dive analytics to understand root causes for shifting trends.
• Partner with the first line of defense team to influence fraud detection and mitigation strategies.
• Lead enterprise-wide first-party fraud mitigation initiatives.
• Provide meaningful insights to key stakeholders and drive root cause analysis during fraud attacks.
• Develop and guide a culture of talent development to meet business objectives and strategy.

Qualifications and Experience

• 6+ years of risk analytics experience, or equivalent demonstrated through work experience, training, military experience, or education.
• 3+ years of management experience.
• Prior experience with fraud management and/or consumer lending business preferred.
• Experience in fraud and risk assessment, identifying fraud trends, and developing deeper insights on inherent risk levels.
• Forward-looking business knowledge on fraud risk management with the ability to identify gaps in process and strategy.
• Advanced knowledge of analytical tools aimed at developing strategic solutions within fraud mitigation across multiple business units including credit cards, personal lending, and auto.
• Strong technical skills including programming languages such as SAS and SQL, and advanced analytics such as graph link analysis and ML models.
• Strong analytical and problem-solving skills with keen attention to detail and the ability to interpret analytical problems and create efficient MIS solutions.
• Excellent communicator with the ability to manage multiple and competing priorities in a fast-paced, rapidly changing environment.

Reporting to senior commercial leadership, the Senior Analytics Manager delivers category insights and thought leadership that support the end-to-end retail commercialization process across new products, packaging, and global platforms. Partnering with brand, sales, and operations teams, this role enables revenue and market share growth by translating syndicated data and consumer research into fact-based selling strategies for retailer partners.

Primary Duties

• Provide category insights and thought leadership that supports the end-to-end retail category commercialization process while ensuring alignment to business strategies and plans.
• Lead processes to develop and deliver execution metrics ensuring commercialized media includes strong fact-based selling content.
• Lead analysis for category-aligned teams focused on commercializing new products, packaging, global platforms, and new solution bundles.
• Provide category thought leadership to evaluate, prioritize, and sequence customer-specific innovation in line with segment must-wins and segmented customer strategy.
• Supply insights and analysis to ensure new products, packaging, and programs create value for consumers, customers, and system.
• Establish and maintain partnerships with teams and act as the commercial subject matter expert for the respective category.
• Monitor market conditions, trends, and competitors to project business sector and consumer demand and inform product launch timing.
• Research competitor behavior including marketing strategies, pricing, sales, and methods of operation.
• Identify purchasing behaviors, price and discount sensitivity, brand loyalty, and other factors across customer segments and sales channels.
• Simulate the impact of proposed marketing campaigns and measure results against targets.

Education and Experience

• Bachelor's degree in marketing, business, or a related field.
• 5+ years of experience in consumer and shopper marketing research and analytics, category management, and/or consumer and shopper research within the consumer goods industry.
• Demonstrated ability to influence parties within and outside the job function at an operational level regarding policies, procedures, and practices.
• Solid understanding of retail sales and the key elements of building an impactful sales conversation including storyboarding, analytics, graphics, and execution.
• In-depth knowledge of the CPG industry including retail environments and channels, customers, competitive products, center store challenges, and industry trends.
• Excellent analytical skills including experience mining syndicated Nielsen and IRI scanning and panel data, case sales data, and proprietary custom consumer surveys.
• Ability to develop and deliver a compelling fact-based conversation to senior leaders at the internal and external HQ and corporate level.
• Ability to communicate effectively, integrate insights from multiple data sources, and weave them into an integrated insights story that leads to business actions.
• Ability to work independently while ensuring multiple priorities are balanced.

Sitting at the intersection of editorial strategy and digital analytics, the Senior Analytics Manager develops and executes data-driven audience growth plans across all content distribution platforms for a major media brand. Operating across brand, product, tech, and sales teams, this role deepens the brand's relationship with readers by translating traffic forecasts, A/B testing results, and behavioral data into actionable content and monetization strategies.

Duties

• Collaborate with brand stakeholders to develop and execute data-driven audience growth plans across all content distribution platforms.
• Measure the performance of audience development initiatives and optimize them according to business goals.
• Apply data mining and information gathering techniques to identify and interpret patterns and trends in visitor behavior on the website.
• Identify new content growth opportunities and best practices based on emerging digital trends, competitive business intelligence, and consumer insights.
• Develop and maintain robust traffic forecasts to support key stakeholders within the organization.
• Build A/B and multivariate testing plans to boost engagement and conversions on site.
• Synthesize data and provide analytics-driven insights to serve as the voice of the reader.
• Work cross-functionally with brand site editors, publishers, product development, and sales and marketing groups to identify opportunities and maximize customer monetization.
• Participate in ongoing decision-making processes concerning the maintenance and improvement of data integrity.

Skills and Qualifications

• 4 to 6 years of experience with a digital advertising agency or online marketing, advertising, publishing, fashion, or retail organization with a thorough understanding of online business models and strategies.
• Hands-on experience with reporting and analysis using a major web analytics tool such as Google Analytics.
• Experience managing digital audience acquisition programs or working with a team to develop such programs.
• Familiarity with competitive measurement services such as comScore Media Metrix or Nielsen/NetRatings.
• Basic understanding of statistical concepts.
• Digitally savvy and experimental in approach to problem solving, with exceptional analytical and critical thinking skills.
• Experience with a multivariate testing tool to optimize marketing and user experience initiatives.
• Ability to clearly articulate and present initiatives to creative and technical teams alike.

A key member of the analytics and SEO leadership team, the Senior Analytics Manager audits and manages data integrity across all analytics platforms including Google Analytics and Google Tag Manager while building aggregate reporting in Looker and Google Data Studio. Collaborating across BI, commerce, and editorial teams, this role enables traffic growth and content strategy by translating keyword tracking, competitor research, and algorithm update analysis into actionable intelligence for senior leadership.

Functions

• Audit and manage data integrity across all analytics platforms including configurations in Google Analytics and containers in Google Tag Manager for current brands and new acquisitions.
• Circulate regular traffic reports to the SEO team and senior leadership teams.
• Collaborate with the BI team to build dashboards in Looker for various teams.
• Identify seasonal traffic trends to help inform content creation and maintenance workflows.
• Provide support on Google algorithm updates including daily check-ins with leadership teams and detailed postmortem reports.
• Support commerce and editorial teams via in-depth competitor research to identify content opportunities.
• Manage keyword tracking across all brands, segmented by category, seasonality, and volume.
• Consolidate key data and build aggregate reporting in Google Data Studio and Looker using data sources including various APIs from Google Analytics, Search Console, Ahrefs, and SEMrush.
• Provide support throughout the diligence cycle of potential acquisition targets.

Experience and Qualifications

• Experience working in the content marketing, media, and/or affiliate space.
• Expertise in Google Analytics, Search Console, Google Data Studio, Ahrefs, and SEMrush.
• Proficiency with popular BI tools such as Google Data Studio, Looker, or Tableau.
• Ability to manipulate big data sets and quickly find the signal through the noise.
• Strong written and verbal communication skills with the ability to present clean and digestible insights to leadership teams.
• Comfortable leading projects that require input from and communication with multiple teams.
• Ability to work at both the strategic level communicating with executives and tactically by being hands-on with the team.
• Naturally curious, self-motivated, and committed to a data-first approach to strategy.