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Product Analyst – Marketing & Audience Analytics

Los Angeles, CA

Pay
Pay not listedSimilar roles state $94K–$143K
Work setting
Not stated
Employment
Not stated
Apply at Fincons Group

What you’ll work on

Full posting
  • Build, validate and manage audience segments for digital campaigns

  • Support audience activation across media platforms, CDPs and clean rooms

  • Analyze campaign performance, audience quality and conversion trends

  • Build dashboards, reports and measurement frameworks for campaign KPIs

  • Maintain audience data pipelines, quality checks and monitoring

From the employer’s posting
Build, validate, and manage audience segments for digital marketing and advertising campaigns.
Support audience activation across media platforms, Customer Data Platforms (CDPs), and data clean rooms.
Analyze campaign performance, audience quality, conversion trends, and marketing effectiveness.
Develop dashboards, reports, and measurement frameworks to track campaign KPIs.
Develop and maintain audience data pipelines, quality checks, and monitoring processes.

What you’ll bring

All qualifications

Core experience

  • 3–5 years of experience in marketing analytics, audience strategy, marketing operations, or data products.
  • Strong SQL skills and hands-on experience with Snowflake and large-scale customer datasets.
  • Experience building and activating audience segments using enterprise data platforms, CDPs, or data clean rooms.
  • Experience with data clean-room technologies such as Snowflake DCR, LiveRamp, or Habu.
  • Familiarity with Git and version control practices.
  • Experience with audience matching, campaign measurement, data validation, and reporting.

Preferred experience

  • Experience implementing or migrating workflows to a Customer Data Platform (CDP).
  • Knowledge of LiveRamp/RampID, identity resolution, and privacy-focused data collaboration.
  • Familiarity with Python, dbt, and modern analytics engineering practices.
  • Experience in media, entertainment, streaming, or digital advertising.
Qualification wording
3–5 years of experience in marketing analytics, audience strategy, marketing operations, or data products.
Strong SQL skills and hands-on experience with Snowflake and large-scale customer datasets.
Experience building and activating audience segments using enterprise data platforms, CDPs, or data clean rooms.
Experience with data clean-room technologies such as Snowflake DCR, LiveRamp, or Habu.
Familiarity with Git and version control practices.
Experience with audience matching, campaign measurement, data validation, and reporting.
Experience implementing or migrating workflows to a Customer Data Platform (CDP).
Knowledge of LiveRamp/RampID, identity resolution, and privacy-focused data collaboration.
Familiarity with Python, dbt, and modern analytics engineering practices.
Experience in media, entertainment, streaming, or digital advertising.
Education & alternatives
- Strong analytical, problem-solving, communication, and stakeholder management skills. - Bachelor's degree in Computer Science, Information Systems, Analytics, Marketing, Statistics, or a related field. Preferred Qualifications

Tools in this posting

  • Python
  • SQL
  • AWS
  • dbt
  • Snowflake
Source — Tool mentions in context
- Knowledge of LiveRamp/RampID, identity resolution, and privacy-focused data collaboration. - Familiarity with Python, dbt, and modern analytics engineering practices. - Exposure to machine learning, propensity modeling, and audience scoring.
- 3–5 years of experience in marketing analytics, audience strategy, marketing operations, or data products. - Strong SQL skills and hands-on experience with Snowflake and large-scale customer datasets. - Experience building and activating audience segments using enterprise data platforms, CDPs, or data clean rooms.
- Experience with data clean-room technologies such as Snowflake DCR, LiveRamp, or Habu. - Working knowledge of AWS services supporting data pipelines and marketing activation. - Familiarity with Git and version control practices.
- Experience building and activating audience segments using enterprise data platforms, CDPs, or data clean rooms. - Experience with data clean-room technologies such as Snowflake DCR, LiveRamp, or Habu. - Working knowledge of AWS services supporting data pipelines and marketing activation.

About Fincons Group

Fincons Group is an international IT consulting and digital transformation company specializing in innovative technology solutions.

In the employer’s words · Read in context

Posting record

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Actively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 23, 2026 · 4 days ago
Recorded sightings
6
Last seen by us
Oct 27, 2026

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Job description

View original posting ↗

Job Description

Fincons Group is seeking a Product Analyst to support audience analytics, marketing campaign activation, measurement, and data operations for a client in the media and entertainment industry.

The ideal candidate will have experience working with large-scale customer data, audience segmentation, marketing technology platforms, and campaign performance analytics. This role requires strong analytical and technical skills, along with the ability to collaborate with Marketing, Data Science, Data Engineering, and Product teams to improve audience targeting, campaign effectiveness, and data-driven decision-making.

Key Responsibilities

  • Build, validate, and manage audience segments for digital marketing and advertising campaigns.

  • Support audience activation across media platforms, Customer Data Platforms (CDPs), and data clean rooms.

  • Analyze campaign performance, audience quality, conversion trends, and marketing effectiveness.

  • Develop dashboards, reports, and measurement frameworks to track campaign KPIs.

  • Support CDP implementation, audience workflow migrations, and marketing technology integrations.

  • Develop and maintain audience data pipelines, quality checks, and monitoring processes.

  • Troubleshoot data discrepancies, audience matching issues, and campaign activation challenges.

  • Collaborate with Data Science teams to support machine learning models, propensity scoring, and lookalike audiences.

  • Identify opportunities to automate workflows and improve data reliability and operational efficiency.

  • Work closely with business and technical stakeholders to document processes and support platform adoption.

Required Qualifications

  • 3–5 years of experience in marketing analytics, audience strategy, marketing operations, or data products.

  • Strong SQL skills and hands-on experience with Snowflake and large-scale customer datasets.

  • Experience building and activating audience segments using enterprise data platforms, CDPs, or data clean rooms.

  • Experience with data clean-room technologies such as Snowflake DCR, LiveRamp, or Habu.

  • Working knowledge of AWS services supporting data pipelines and marketing activation.

  • Familiarity with Git and version control practices.

  • Experience with audience matching, campaign measurement, data validation, and reporting.

  • Strong analytical, problem-solving, communication, and stakeholder management skills.

  • Bachelor's degree in Computer Science, Information Systems, Analytics, Marketing, Statistics, or a related field.

Preferred Qualifications

  • Experience implementing or migrating workflows to a Customer Data Platform (CDP).

  • Knowledge of LiveRamp/RampID, identity resolution, and privacy-focused data collaboration.

  • Familiarity with Python, dbt, and modern analytics engineering practices.

  • Exposure to machine learning, propensity modeling, and audience scoring.

  • Experience in media, entertainment, streaming, or digital advertising.

About Fincons Group

Fincons Group is an international IT consulting and digital transformation company specializing in innovative technology solutions. We partner with leading organizations across industries, including media and entertainment, to deliver impactful digital solutions and drive business transformation.

Source details

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Location & working pattern

Los Angeles, CA

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