Business Analyst - Digital Analytics Implementation

Responsibilities:

• Work closely with the marketing team to gather and document requirements for ad tech pixel implementation (Ex- Facebook, Floodlight) which involves placing 250-350 new tags across various pages on our client portal.
• Translate business requirements into clear, concise technical specifications and implement or update tags.
• Investigate issues with pixels not firing properly due to changes on application pages.
• Work collaboratively with the application product teams to ensure that ad tech placements are functioning as expected.
• Partner with the legal and privacy teams to ensure all ad tech implementations comply with applicable privacy laws (GDPR, CCPA, etc.).
• Regularly monitor compliance to ensure ongoing adherence to privacy regulations and industry standards.
• Oversee the execution of the switch-over with developers and ensure proper testing is done for pixel functionality.
• Lead initiatives like the LiveRamp Authenticated Traffic Solution (ATS) by coordinating with the LiveRamp vendor to understand the new solution and its implementation requirements.
• Maintains detailed documentation of pixels and measurement strategies.
• Establish best practices for ad tech work and data quality on the online channels, configuring analytics technology, and interpreting data.

Requirements:

• 3 years of experience in ad operations, digital marketing, or web analytics.
• Familiarity with HTML, JavaScript, and other web technologies related to ad tech.
• Experience with Tealium Tag Manager or similar tools.
• Experience managing analytic and/or development projects.
• Experience with dynamic pixel implementations and familiarity with tools like LiveRamp, Enhanced Conversion, and CAPI.
• Awareness of best practices for tracking and attribution in a Cookieless environment.
• Ability to establish and handle multiple priorities, and to take ownership of role by exercising good judgement and making decisions with limited supervision.

Education:

• Bachelor's degree in Statistics, Mathematics, Computer Science, Marketing or related field

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Responsibilities:

• Work closely with the marketing team to gather and document requirements for ad tech pixel implementation (Ex- Facebook, Floodlight) which involves placing 250-350 new tags across various pages on our client portal.
• Translate business requirements into clear, concise technical specifications and implement or update tags.
• Investigate issues with pixels not firing properly due to changes on application pages.
• Work collaboratively with the application product teams to ensure that ad tech placements are functioning as expected.
• Partner with the legal and privacy teams to ensure all ad tech implementations comply with applicable privacy laws (GDPR, CCPA, etc.).
• Regularly monitor compliance to ensure ongoing adherence to privacy regulations and industry standards.
• Oversee the execution of the switch-over with developers and ensure proper testing is done for pixel functionality.
• Lead initiatives like the LiveRamp Authenticated Traffic Solution (ATS) by coordinating with the LiveRamp vendor to understand the new solution and its implementation requirements.
• Maintains detailed documentation of pixels and measurement strategies.
• Establish best practices for ad tech work and data quality on the online channels, configuring analytics technology, and interpreting data.

Requirements:

• 3 years of experience in ad operations, digital marketing, or web analytics.
• Familiarity with HTML, JavaScript, and other web technologies related to ad tech.
• Experience with Tealium Tag Manager or similar tools.
• Experience managing analytic and/or development projects.
• Experience with dynamic pixel implementations and familiarity with tools like LiveRamp, Enhanced Conversion, and CAPI.
• Awareness of best practices for tracking and attribution in a Cookieless environment.
• Ability to establish and handle multiple priorities, and to take ownership of role by exercising good judgement and making decisions with limited supervision.

Education:

• Bachelor's degree in Statistics, Mathematics, Computer Science, Marketing or related field

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.