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Sr.Product Analyst

Loginsoft Consulting LLCNew York, NY🇺🇸United StatesPosted 27 Aug 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
New York, NY, United States
Posted
3 days ago
SQLAWSLookerMachine LearningSnowflakeTableauA/B TestingComplianceDatabricksProcurementProduct MarketingPythonSourcing

Job Description

NOTE: THIS POSITION IS TO JOIN AS W2 ONLY.
 
Sr. Product Analyst
Location: New York, NY (Hybrid)
Duration:  6+Months
 
Job Description
The Sr. Analyst, Data Product Strategy will be passionate about data as a first-class citizen to empower and enable data-driven business decisions. The Sr. Analyst will lead our analytics efforts through building data connections with marketing and measurement partners utilizing Client proprietary data sets, while adhering to data governance and privacy compliance standards. They will drive our modernization efforts to ensure our data flows, processing, and reporting are accurate, insightful and competitive within the industry. This is a collaborative role that requires multiple partners in order to be successful – they will work closely with senior leadership, research, marketing, product management, architects, and developers to design, build, and deploy best-in-class data solutions, audience activation and measurement tools that meet the growing analytical needs of our organization.
 
Your Role Accountabilities:
  • Lead the development, launch, and evolution of data products that power audience targeting, activation, measurement, attribution, and advanced advertising capabilities across the Clients ecosystem.
  • Partner with cross-functional stakeholders across Ad Sales, Product, Research, Data Engineering, Data Science, Privacy, and Marketing to translate business needs into scalable, market-ready data solutions.
  • Define product requirements, success metrics, and operational processes for data products and partnerships that drive audience monetization and revenue growth.
  • Collaborate with teams leveraging Client''s proprietary identity, audience, and device graph capabilities to improve addressability, audience intelligence, interoperability, and data activation outcomes.
  • Support the development and expansion of privacy-safe data collaboration solutions for audience monetization, interoperability, identity resolution, outcome measurement, and emerging advertising technologies.
  • Design and implement measurement, attribution, and outcome frameworks that connect campaign activation to business results and revenue impact.
  • Document, build and automate scalable workflows, leveraging AI, machine learning, and agentic technologies where appropriate to improve efficiency, reduce operational overhead, and accelerate decision-making.
  • Lead data governance, validation, and quality assurance efforts to ensure consistency, transparency, and compliance across internal and external data assets.
  • Partner with external technology providers, identity partners, clean room providers, and measurement platforms to evaluate capabilities, support integrations, and bring new solutions to market.
  • Work closely with Data Engineering, Ad Tech, Sales, Product Marketing, DTC, and Research teams to operationalize new capabilities and accelerate adoption across the business.
 
Qualifications & Experiences:
  • 3+ years experience in tech, ad agency or media company experience
  • A strong professional background in data manipulation, data analytics, and/or system analysis Knowledge of key statistics concepts (e.g., hypothesis testing, A/B testing, regression analysis, clustering, anomaly detection)
  • Familiarity with data exploration and data visualization tools like Tableau, Looker, etc.
  • Strong analytical skills and innate curiosity to troubleshoot and dive deep into complex technical issues, and ability to read/write complex queries to analyze data and investigate potential root causes of discrepancies.
  • Must be proficient in SQL and Python.
  • Comfort level with ambiguity and ability to manage multiple projects at the same time
  • Experienced in one or more automation tools (ex: Looker)
  • Experience with data warehousing, data clean rooms or cloud based services (i.e. AWS, Snowflake, Databricks, LiveRamp SafeHaven).
  • Experience leveraging creative analytics techniques and output to tell a story to drive business decisions
  • Champions the capabilities and benefits of analytical data assets. Partner effectively across departments and stakeholders
  • Experience in implementing Data Quality best practices and procedures, preferable with consumer data in a large organization
  • Solid business acumen, and critical problem-solving ability, with a capacity for strategic thinking
  • Understanding of the advertising and agency ecosystem for television and/or digital
  • Passion for problem-solving and the ability to find answers to difficult questions
  • Ability to collaborate across various teams
  • Interest in advanced advertising and innovation
  • Excellent communication, presentation, and customer relationship skills.
 
Not Required but preferred experience:
 
  • Public speaking and presentation skills.
  • Experience with ad tech and martech platforms (e.g., CDPs, MMPs, DSPs, Clean Rooms).
  • Experience working with contracts, DPAs/DTAs, sourcing and procurement teams
  • Deep understanding of API connectivity and data streaming architecture
  • Machine learning, AI and predictive modeling experience is a plus
 
Basic Qualifications:
  • 3+ years'' experience in technology, advertising technology, product development or data strategy (and/or) 3+ years working in Media Buying, Planning, Sales, Analytics or Operations
  • Bachelor''s degree in data science, computer science, mathematics, information systems, or information technology, or related field.
 

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