Job Description
Role: Product Analyst II
\n
Location: Denver, CO (Onsite)
\n
Pay Rate: $38/hr on W2
\n
Contract
\n
\n
Role Overview:
\n
Seeking a Product Analyst to support data product strategy, analytics, audience activation, measurement, and data-driven business solutions. The role will partner with Product, Data Engineering, Marketing, Research, Ad Tech, Privacy, and other teams to build scalable, privacy-compliant data products and workflows.
\n
\n
Key Responsibilities:
\n
- \n
- Develop and enhance data products supporting audience targeting, activation, measurement, attribution, and advertising.
- Translate business requirements into scalable data solutions and define product requirements and success metrics.
- Analyze data using SQL and Python to identify trends, discrepancies, and root causes.
- Support data governance, quality assurance, validation, and privacy compliance.
- Build measurement and attribution frameworks to connect campaigns with business outcomes.
- Work with identity, audience, device graph, clean room, and measurement platforms.
- Collaborate with internal teams and external technology/data partners on integrations and new capabilities.
- Automate workflows and leverage AI/ML technologies to improve efficiency and decision-making.
- Create data visualizations and communicate analytical insights to business stakeholders.
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
Required Skills:
\n
- \n
- 3+ years of experience in technology, data analytics, advertising technology, media, or product strategy.
- Strong SQL and Python skills.
- Experience with data manipulation, analytics, and statistical concepts.
- Experience with Tableau, Looker, or similar visualization/analytics tools.
- Knowledge of data warehousing and cloud/data platforms such as AWS, Snowflake, or Databricks.
- Experience with data quality, governance, and privacy practices.
- Strong analytical, problem-solving, communication, and stakeholder management skills.
- Ability to manage multiple projects in a fast-paced environment.
- Bachelor's degree in Data Science, Computer Science, Mathematics, Information Systems, IT, or related field.
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
