Insights Principal
TinuitiAbout the role
Who we are:
Tinuiti is the largest independent full-funnel marketing agency in the U.S. across the media that matters most, with $4 billion in digital media under management and more than 1,200 employees. Built for marketers who demand growth and accountability, Tinuiti unites media and measurement under one roof to eliminate waste—the biggest growth killer of all—and scale what works. Its proprietary technology, Bliss Point by Tinuiti, reveals the truth around growth and waste, and how to capitalize on it. With expert teams across Commerce, Search, Social, TV & Audio, and more, Tinuiti delivers measurable results with brutal simplicity: Love Growth. Hate Waste.
We support 100% remote work for this role!
We’d love to hear from you if:
Research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. So if you think you qualify, but don't necessarily meet every single point on the job description, please still get in touch.
As an Insights Principal, you will serve as the leading analytics voice on your account(s), translating client business objectives, media strategy, MMM results, and cross-channel performance data into clear measurement strategies, learning agendas, and high-value recommendations. You’ll connect data across channels, methods, and reporting environments to help clients understand what is happening, why it matters, and what they should do next. This role is highly client-facing and best suited for someone who combines strong analytical fluency with business judgment, consultative presence, and the ability to answer broad or ambiguous questions with a clear, finite analytical approach.
Level and scope alignment
Level: Insights Principal. P5 senior individual contributor role, scaling impact through deeper client leadership, analytical judgment, and strategic influence rather than people management.
Scope: Owns the analytics strategy for an account or group of businesses, including annual learning agendas, testing roadmaps, MMM read-outs, analytical prioritization, and client-facing recommendations.
Team context: Leads cross-functional execution across media, strategy, analytics, and client teams; may guide junior analysts informally, but does not directly manage people.
Technical expectation: Brings advanced working fluency in BI, SQL, and statistical methods in service of insights and recommendations. However, this role is not a deep data science or data engineering role and will not be responsible for developing MMMs, but is responsible for analyzing MMM results and guiding next steps based on the findings, with a deep understanding of the methodology.
Key responsibilities
Client‑Centric
Create and lead the analytics strategy for an account by learning the client’s business, understanding their media strategy, and developing annual learning agendas, incrementality testing roadmaps, and strategic analysis plans.
Act as the leading analytics voice on your accounts, helping clients and internal teams focus on the highest-value questions and measurement priorities.
Build productive working relationships with clients so you can provide a consultative approach to insights development and make impactful recommendations, especially as it relates to translating complex MMM outputs into strategic business decisions – clearly explaining what the model results mean, what they don't mean, and delivering the actionable "so what" behind the numbers.
Anticipate the attribution methods needed to comprehensively measure full-funnel media, across various attribution systems (e.g., Last-Touch, MMM), tie results back to business-driving outcomes, and assess current tactics plus channel expansion opportunities.
Listen actively for client-health signals, identify high-value growth opportunities, and lead the appropriate escalation or recommendation path.
Demystify advanced statistical concepts for non-technical executives, translating algorithmic outputs into clear business narratives and strategic recommendations.
Product‑Led
Use BI tools, dashboards, Bliss Point applications, and analytics environments to support insight generation, recommendation development, and strategic client storytelling.
Maintain advanced fluency in reporting environments, data tools, and analytics workflows so
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