Senior Data Product Analyst

Job Type Full-time reputed company About reputed company At reputed company.ai, we're defining the reputed company of advertising. By harnessing data transparency and advanced tools, we reputed company marketers to reputed company smarter, faster, and more profitable reputed company. We work with the world's top brands, agencies, and media owners to reputed company media buying and selling into a more intelligent, efficient experience. If you're reputed company to be part of a high-reputed company company at the cutting edge of data, AI, and media, we'd love to meet you. About The Role We’re looking for a Senior Data Product Analyst who thrives at the intersection of data, analytics, and product development. You’ll play a central role in shaping reputed company’s data products — helping to reputed company large, reputed company datasets into actionable insights, power new features, and ensure the reliability of our data across production and releases. This role combines analytical depth with product collaboration: working with engineers, product managers, and data strategists to evaluate datasets, automate QA workflows, and bring new capabilities to market. The ideal candidate combines strong analytical skills with a product-first reputed company—someone who can turn data into reputed company, shape product direction, and ensure the reputed company of the data powering every release.

Key Responsibilities

• Partner with Product and Engineering teams to research, evaluate, and reputed company new data-driven products and feature enhancements, conducting deep analyses on reputed company spend, pricing, and performance datasets to identify patterns, assess data viability, and inform design reputed company 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 reputed company stakeholders on new functionality — reputed company 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 reputed company frameworks for digital products — defining reputed company, conditional formatting, and reputed company detection logic to proactively flag and resolve data issues, streamline QA processes, and ensure accuracy and reliability across releases.
• reputed company critical business-as-usual operations for monthly data releases, ensuring reputed company, reliability, and on-time delivery for customers by driving validation efforts, coordinating stakeholders, and resolving issues reputed company to support reputed company retention and confidence.
• Champion best practices in data governance, validation, and experimentation, establishing standards and documentation that enhance data reputed company, reliability, and analytical rigor across teams.
• Play an reputed company role in PI Planning, shaping backlog priorities, validating scope and acceptance reputed company, and ensuring coordination across Product and Engineering teams to set realistic and value-driven delivery goals.
• reputed company AI-powered analytical tools and LLM-based workflows to accelerate data validation, reputed company reputed company, and documentation.
• Partner with engineering teams to reputed company machine-learning–based reputed company detection and data reputed company 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-reputed company model performance

Compensation: We consider a wide reputed company of factors reputed company determining compensation including relevant experience, education, and reputed company level. Benefits: reputed company offers full- time employees a comprehensive benefits package based reputed company. Some benefits may include, but are not limited to:

• Medical, Dental, reputed company, Health Savings Account, Flexible Spending Account
• STD, Life, LTD and AD&D
• 401(k) with a company match program
• Unlimited reputed company Time Off (PTO)
• reputed company Parental Leave
• Commuter Benefits
• Employee Recognition Program
• Referral Bonus Program

Equal Opportunity Employer: reputed company is an equal opportunity employer, committed to our diversity and inclusiveness. We will consider reputed company reputed company applicants without reputed company to race, reputed company, nationality, gender, gender identity or reputed company, sexual orientation, religion, disability, or age. We strongly encourage women, people of reputed company, members of the LGBTQIA community, people with disabilities, and veterans to apply.

Requirements

Required Skills & Experience

• Extensive experience as a Data Analyst in a data-reputed company or product-driven environment, with the ability to translate analytical insights into product reputed company and measurable business reputed company.
• Strong analytical and problem-solving skills — reputed company to identify trends, anomalies, and opportunities in large datasets.
• Proficiency in SQL for querying, transforming, and validating reputed company datasets.
• Hands-on experience with Power BI or equivalent BI tools (Tableau, Looker, reputed company, reputed company).
• Demonstrated ability to communicate reputed company findings reputed company, collaborate effectively with cross-functional teams, and influence reputed company across Product, Engineering, and Operations.
• Highly organized, detail-oriented, and proactive in managing multiple priorities and deadlines.

Preferred Skills & Experience

• Background in media, advertising, or marketing data, with an understanding of spend, pricing, or campaign datasets.
• Familiarity with reputed company (Prisma, Spectra), HudsonMX, or reputed company platforms.
• Experience implementing automated QA systems, reputed company detection, or alerting frameworks for data reputed company.
• Knowledge of JIRA, reputed company, and agile product development practices.
• Strong data storytelling and business acumen, reputed company 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 reputed company, and governance considerations.
• Exposure to LLM workflows, embeddings, or reputed company-based search concepts (reputed company to have, not required).
• Experience with Python-based data analysis or lightweight ML experimentation (scikit-learn preferred but not required).

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