Guideline · 13 hours ago
Senior Data Product Analyst
United States
Full-time
Remote
Senior LevelGuideline.ai is a high-growth company focused on transforming advertising through data transparency and advanced tools. The Senior Data Product Analyst will play a key role in shaping data products by turning complex datasets into actionable insights and collaborating with cross-functional teams to ensure data reliability and product enhancement.
Internet
Responsibilities
Partner with Product and Engineering teams to research, evaluate, and develop new data-driven products and feature enhancements, conducting deep analyses on complex spend, pricing, and performance datasets to identify patterns, assess data viability, and inform design decisions from concept through production
Contribute to go-to-market release execution by validating data in production environments, coordinating QA and feature testing, preparing product collateral, and delivering internal demos to align stakeholders on new functionality — all to drive successful adoption and launch readiness
Support release management by validating production data, investigating anomalies, providing analytical context for product and customer teams, and coordinating release communications to facilitate transparency and smooth deployment across teams
Design and implement automated data validation and quality frameworks for digital products — defining thresholds, conditional formatting, and anomaly detection logic to proactively flag and resolve data issues, streamline QA processes, and ensure accuracy and reliability across releases
Lead critical business-as-usual operations for monthly data releases, ensuring quality, reliability, and on-time delivery for customers by driving validation efforts, coordinating stakeholders, and resolving issues efficiently to support client retention and confidence
Champion best practices in data governance, validation, and experimentation, establishing standards and documentation that enhance data quality, reliability, and analytical rigor across teams
Play an active role in PI Planning, shaping backlog priorities, validating scope and acceptance criteria, and ensuring coordination across Product and Engineering teams to set realistic and value-driven delivery goals
Leverage AI-powered analytical tools and LLM-based workflows to accelerate data validation, insight generation, and documentation
Partner with engineering teams to integrate machine-learning–based anomaly detection and data quality checks into the product pipeline
Identify product opportunities where AI or predictive modeling can enhance user experience, improve accuracy, or surface actionable insights
Evaluate dataset readiness for AI/ML use cases, ensuring structures, definitions, and data governance support high-quality model performance
Qualification
Required
Extensive experience as a Data Analyst in a data-centric or product-driven environment, with the ability to translate analytical insights into product strategy and measurable business impact
Strong analytical and problem-solving skills — able to identify trends, anomalies, and opportunities in large datasets
Proficiency in SQL for querying, transforming, and validating complex datasets
Hands-on experience with Power BI or equivalent BI tools (Tableau, Looker, Sisense, Qlik)
Demonstrated ability to communicate complex findings clearly, collaborate effectively with cross-functional teams, and influence decisions across Product, Engineering, and Operations
Highly organized, detail-oriented, and proactive in managing multiple priorities and deadlines
Preferred
Background in media, advertising, or marketing data, with an understanding of spend, pricing, or campaign datasets
Familiarity with MediaOcean (Prisma, Spectra), HudsonMX, or WideOrbit platforms
Experience implementing automated QA systems, anomaly detection, or alerting frameworks for data quality
Knowledge of JIRA, Confluence, and agile product development practices
Strong data storytelling and business acumen, able to synthesize insights and present recommendations to senior stakeholders
Familiarity with AI-assisted analytics tools (e.g., ChatGPT, Copilot, AI-based BI platforms)
Understanding of how data pipelines support AI models, including data labeling, data quality, and governance considerations
Exposure to LLM workflows, embeddings, or vector-based search concepts (nice to have, not required)
Experience with Python-based data analysis or lightweight ML experimentation (scikit-learn preferred but not required)
Benefits
Medical, Dental, Vision, Health Savings Account, Flexible Spending Account
STD, Life, LTD and AD&D
401(k) with a company match program
Unlimited Paid Time Off (PTO)
Paid Parental Leave
Commuter Benefits
Employee Recognition Program
Referral Bonus Program
Company
Guideline
At Guideline, we're defining the future of how the world buys and sells media.
Founded in 2020
51-200 employees
H1B Sponsorship
Guideline has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)
2024 (3)
2023 (11)
2022 (13)
2021 (10)
2020 (1)
Funding
Current Stage
Growth StageLeadership Team
Daniel Levine
VP, Strategic Partnerships and Sell-Side Sales
Todd Koons
VP, Partnerships
Company data provided by crunchbase