DoubleVerify - Client Analytics Lead
Requirements
• 6+ years of experience in an analytical capacity (research, data & analytics, or insights strongly preferred) • Exceptional command of Excel and PowerPoint, including advanced functions, pivot tables, and data visualization • Exceptional understanding of DV products, databases, and their applications to clients; familiarity with Salesforce, Looker, Snowflake, and/or SQL • Strong data storytelling skills, you can take a complex dataset and turn it into a clear, compelling narrative for both technical and non-technical audiences • Proven ability to project manage client deliverables independently, meeting SLAs and proactively communicating timelines and risks • Experience leading client-facing presentations and strategic discussions with senior stakeholders • Solution-oriented: you work on issues of diverse scope, evaluate a variety of factors including business context and trends, and are proactive in finding and presenting solutions • Proactive contributor to team culture: you share insights, flag trends, learnings, etc. • Digital media, ad tech, or agency experience strongly preferred • Client-facing experience required (presenting, reporting, and relationship management) • Ability to travel as needed for client engagements • Comfortable leaning into AI tools and eager to help shape how the team uses them to work smarter, move faster, and unlock more creative approaches to analytics and client storytelling • The successful candidate’s starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, and balancing internal equity relative to peers at DV. The estimated salary range for this role based on the qualifications set forth in the job description is between $100,000 to $163,000. This role will also be eligible for bonus/commission (as applicable), equity, and benefits. The range above is for the expectations as laid out in the job description; however, we are often open to a wide variety of profiles, and recognize that the person we hire may be more or less experienced than this job description as posted. • Not-so-fun fact: Research shows that while men apply to jobs when they meet an average of 60% of job criteria, women and other marginalized groups tend to only apply when they check every box. So if you think you have what it takes but you’re not sure that you check every box, apply anyway! • Not-so-fun fact:
Responsibilities
• DV is looking for a strategic Client Analytics Lead with proven experience finding and telling stories in data to join our North America Client Analytics team. In this role you will work closely with Marketing, Product, Sales, and Sales Engineering teams to support a blue-chip client roster based primarily in the East Coast. DV is uniquely positioned in the industry, offering unparalleled exposure to top-tier clients across verticals, industry-wide trends, and a fast-paced, product-focused environment. • Own the full lifecycle of client analytics deliverables, including QBRs, Test Wraps, and Custom Insights for a portfolio of DV's most strategic and high-revenue Global and East Coast accounts • Serve as a primary analytics voice in client-facing presentations, translating complex DV data into actionable, strategic insights that drive client value • Project manage and prioritize deliverables with limited supervision, proactively setting timelines and managing stakeholder expectations • Proactively create, roll out, and refine processes and analytical best practices to be followed by the broader team • Act as an advisor and resource to Client Insights Analysts on data methodology, DV product expertise, and data storytelling • Lead strategic and ad-hoc discussions with clients and internal stakeholders, including commercial leadership up to the VP level • Proactively identify and action on revenue opportunities emerging from client analytics work with Client Partners • Contribute to knowledge sharing within the Client Analytics function, surfacing case studies, trends, and best practices that strengthen the broader team and DV • Build strong feedback loops with Commercial partners (Client Partners, Group Directors, RVPs) to align analytics support with revenue priorities and escalate trends to leadership
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