Director, Analytic Consulting

We need to output HTML fragment with sections: About the role? The description includes company description and role description. We need headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We have: - Company Description: could be "About the role" or maybe "About the role" includes description of role. The initial paragraph: "Epsilon is seeking a Director of Analytics to join our Analytics Consulting (AC) practice..." That's about the role. So we can put that under

About the role

with

containing that description. - Responsibilities: there is a big list under "Responsibilities". We'll output

• each bullet. - Qualifications: there is a "Qualifications" section with bullet list. We'll output

  Qualifications

  with
  . - Skills: there is "Additional Useful, But Not Required, Skills". That's skills. We'll include under

  Skills

  with
  . - Benefits: there is a "Benefits" section with bullet list. We'll include

  Benefits

  with
  . - Pay: there is "Compensation Range: USD $127,900.00 - USD $269,200.00/Annually." That's pay. We'll include

  Pay

  with

  containing that range. - Schedule: Not mentioned. No schedule info. So we omit Schedule. - Requirements: The qualifications may cover requirements; but there is no separate "Requirements" heading. We could combine qualifications and requirements? The instruction: Use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). We have Qualifications separate; we could treat "Requirements" as maybe not present. Since there is no explicit "Requirements" section, we omit it. We must preserve all substantive information; do not invent or summarize away detail. Must not include boilerplate like EEO, legal, application instructions, etc. We removed those. We need to ensure we include all substantive info from the posting: company description, responsibilities, qualifications, additional useful skills, benefits, pay. Also maybe include "Additional Information" about EPIC etc? That's more company description; but we already have company description. The "Additional Information" includes culture etc. That's also substantive but maybe not required? It says "Check out a few of these resources to learn more about what makes Epsilon so EPIC:" plus links. That's somewhat boilerplate? It's about company culture. Might be considered substantive but could be considered navigation/legal? It's not EEO. It's about culture. Might be okay to include but we have limited sections. Could add another section "About Epsilon" but not in allowed headings. The instruction says use those headings; we could put extra info under About the role? Might be okay to incorporate into About the role paragraph. But we should not invent headings. Thus we will include About the role paragraph that includes the initial description and maybe also the "Additional Information" about EPIC? But that might be too much. However we must preserve ALL substantive information; we cannot drop the "Additional Information" unless it's considered boilerplate. It's not cookie/navigation/legal/EEO etc. It's about company culture and values. Might be considered substantive. But we have no heading for it; we could append to About the role paragraph. Similarly there is "When you join Epsilon, we’ll create something EPIC together..." That's also substantive. We'll incorporate that into About the role paragraph. We must not include the links? The instruction says preserve ALL substantive information; links are substantive? They are URLs. Might be considered navigation? They are resources to learn more. Might be considered navigation but they are part of the posting. The instruction says remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. Links to culture resources might be considered navigation? Not sure. Safer to keep them? They are not explicitly prohibited. But they are like "Check out a few of these resources..." Might be considered promotional but still part of posting. I'd keep them as part of About the role paragraph. We must not include the "Click here to view how Epsilon transforms marketing with 1 View, 1 Vision, 1 Voice." That's a link; maybe keep. We'll produce HTML:

  About the role

  Epsilon is seeking a Director of Analytics to join our Analytics Consulting (AC) practice, part of the Analytic Services team, focused on our Financial Services clients. The Director provides a clear, strategic, forward-looking vision based on data and analytics that enables effective decision making and delivers measurable business impacts. In this role, you will collaborate closely with Data Science, AI, Strategy, Client Services, Product, and Delivery teams to translate complex marketing and media challenges into scalable analytic solutions. You will support consultative client engagements, define measurement approaches for paid and owned channels, and help clients adopt Epsilon’s analytic capabilities, proprietary datasets, cleanroom environments, and media measurement solutions. The ideal candidate is a highly collaborative, data-driven, team player that can develop and execute complex analytic solutions to support insights, activation, and measurement for our clients. The Director candidate has excellent communication skills, and can coordinate a talented team of analytic associates in the execution and delivery of our products and services. When you join Epsilon, we’ll create something EPIC together. We’re a global leader in data and identity, with deep expertise in digital media, clean rooms, customer data platforms, loyalty and marketing services. Positioned at the center of Publicis Groupe, Epsilon helps brands deliver personalized experiences at scale and build lasting customer relationships by unlocking the full potential of data and identity. Epsilon operates in 30+ countries across EMEA, the Americas and APAC, with more than 8,000 employees. Check out a few of these resources to learn more about what makes Epsilon so EPIC: Our Culture: https://www.epsilon.com/us/about-us/our-culture-epsilon Life at Epsilon: https://www.epsilon.com/us/about-us/epic-blog Epsilon Has Five Values That Define Our Culture And Guide Us As We Create Value For Our Clients, Our People And Consumers. We Seek Candidates Who Align With Our Company Values, Demonstrate Them And Make Them Meaningful In Their Day-to-day Work Act with integrity. We are transparent and have the courage to do the right thing.Work together to win together. We believe collaboration is the catalyst that unlocks our full potential.Innovate with purpose. We shape the market with big ideas that drive big outcomes.Respect all voices. We embrace differences and foster a culture of connection and belonging.Empower with accountability. We trust each other to own and deliver on common goals. Because You Matter Click here to view how Epsilon transforms marketing with 1 View, 1 Vision, 1 Voice.

  But that paragraph is huge; maybe we can split into multiple

  but still under same heading. It's okay. Then Responsibilities: list each bullet. We need to extract each bullet from the responsibilities block. Let's list them: - Serve as a client-facing lead for Analytic Services across Financial Service relationships of varying size and complexity - Define paid media measurement strategies for brand, performance, and customer-level campaigns, creating alignment on KPI frameworks, success metrics, and reporting expectations across client and internal stakeholders - Translate complex methodologies, including experimentation, causal inference, attribution, segmentation, predictive modeling, incrementality, and closed-loop measurement, into clear, client-friendly insights and guidance - Partner cross-functionally to deliver advanced analytics, machine learning, and AI-driven solutions that improve marketing effectiveness across paid and owned media channels - Collaborate with junior resources to manage the delivery of audience measurement and insights - Coordinate onshore and offshore analytic consulting, data science, and junior analytics resources in designing, executing, validating, and delivering end-to-end analytics solutions - Define measurement strategies for marketing campaigns, creating alignment on KPI frameworks across all interested stakeholders - Partner with client’s marketing and analytic teams, understand their workstreams, and help interpret results and make optimization decisions across audience, offer, creative, etc. - Develop and communicate actionable insights, optimization recommendations, executive-ready narratives, and quantifiable business impact to clients and senior stakeholders - Access and analyze data in Epsilon’s proprietary tools, PeopleCloud, cleanroom environments, CDPs, and other data platforms to measure audience quality, media exposure, campaign outcomes, online and offline sales impact, and customer behavior - Develop an understanding of Epsilon’s current analytic capabilities, marketing platforms, and proprietary datasets - Communicate and manage project execution (timeliness, quality, communication, creative solutioning, etc.) with your client and analytic leaders - Collaborate effectively with internal teams including Analytics, Consulting, Client Services, Product, Technology, Data Science, AI, and Delivery to deliver integrated solutions - Coach, mentor, and develop analytics team members while fostering a collaborative, high-performance culture focused on client value, innovation, and continuous improvement We'll output each as

  • . Qualifications: list: - Bachelor’s degree in a quantitative discipline (Statistics, Economics, Mathematics, Marketing Analytics, Engineering, Physics, Computer Science or related disciplines) - 8+ years of experience in data science, analytics, or machine learning, with strong preference for marketing analytics experience - Deep understanding of customer-level marketing analytics, audience creation, segmentation, campaign performance measurement, testing, attribution, incrementality, closed-loop measurement, and optimization - Ability to design and execute analyses using large record-level datasets, including advertising impressions, site visitation, audience attributes, campaign activity, online sales, offline sales, and customer behavior data - Experience measuring audience performance using first-party data, Epsilon-owned data assets, CDPs, cleanroom environments, media exposure data, and other combined data sources - Working knowledge of statistical methods, experimental design, hypothesis testing, causal inference, predictive modeling, segmentation, and marketing measurement methodologies - Demonstrated experience analyzing paid media performance across channels such as programmatic, search, social, display, connected TV, experiential, and out-of-home, including understanding how these channels contribute to digital and broader marketing measurement - Proficiency with SQL, Python, or similar data manipulation and analytic tools - Strong planning, prioritization, and project management skills, with ability to manage multiple analytics projects, requests, timelines, and resources concurrently - Excellent verbal and written communication skills, with ability to simplify complexity, foster dialogue across teams, and present analytic findings in a clear, compelling, business-focused manner - Skilled in data visualization and executive-level storytelling to communicate the value of analytics to senior stakeholders - Proven ability to collaborate across interdisciplinary teams including Strategy, Client Services, Product, Technology, Data Science, AI, Delivery, and Analytics - Highly motivated, collaborative, intellectually curious, and results-oriented, with a focus on innovation, continuous improvement, and client value realization - Natural curiosity for exploring data and finding the untold story - Ability to simplify complexity, communicate clearly and teach others We'll output as
    • . Skills (Additional Useful, But Not Required, Skills): - Master’s degree in Statistics, Economics, Data Science, Business Analytics, Marketing Analytics, or a related quantitative field - Familiarity with Databricks or similar large-scale analytics platforms - Experience with data visualization tools and executive reporting environments - Experience with media mix modeling, fractional attribution, multi-touch attribution, brand lift, incrementality testing, sales lift, and other marketing measurement solutions - Experience working in the Financial Services sector, specifically with regards to FCRA data limitations We'll output as
      • . Benefits: list: - Time to recharge: Flexible time off (FTO), 14 paid holidays, paid sick time - Family well-being: Parental/new child leave, childcare & elder care assistance, adoption assistance - Extra perks: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable