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Product Analyst (W2 Contract only/ No 3rd Parties)

PublishedPublished: 6/14/2022

Job Description

Role: Product Analyst II

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Location: Denver, CO (Onsite)

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Pay Rate: $38/hr on W2

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Contract

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Role Overview:

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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.

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Key Responsibilities:

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  • Develop and enhance data products supporting audience targeting, activation, measurement, attribution, and advertising.
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  • Translate business requirements into scalable data solutions and define product requirements and success metrics.
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  • Analyze data using SQL and Python to identify trends, discrepancies, and root causes.
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  • Support data governance, quality assurance, validation, and privacy compliance.
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  • Build measurement and attribution frameworks to connect campaigns with business outcomes.
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  • Work with identity, audience, device graph, clean room, and measurement platforms.
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  • Collaborate with internal teams and external technology/data partners on integrations and new capabilities.
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  • Automate workflows and leverage AI/ML technologies to improve efficiency and decision-making.
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  • Create data visualizations and communicate analytical insights to business stakeholders.
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Required Skills:

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  • 3+ years of experience in technology, data analytics, advertising technology, media, or product strategy.
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  • Strong SQL and Python skills.
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  • Experience with data manipulation, analytics, and statistical concepts.
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  • Experience with Tableau, Looker, or similar visualization/analytics tools.
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  • Knowledge of data warehousing and cloud/data platforms such as AWS, Snowflake, or Databricks.
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  • Experience with data quality, governance, and privacy practices.
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  • Strong analytical, problem-solving, communication, and stakeholder management skills.
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  • Ability to manage multiple projects in a fast-paced environment.
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  • Bachelor's degree in Data Science, Computer Science, Mathematics, Information Systems, IT, or related field.
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