Marketing Analytics Pro: Data-Driven Campaign Optimizer

Skill; Culver City (CA); On-site; USD 51,000 - 57,000; Full time

Benefits offered by this job

Health and vision benefits

401k with match

Training and development

Job summary

Aquent Talent is seeking an Analyst, Digital Marketing to transform complex data into strategic insights. You will drive improvements in campaign performance and product optimization, leveraging your analytics to guide data-driven decisions for a large audience.

The role emphasizes building models, reporting insights, and applying NLP to consumer feedback to support internal services and competitive positioning.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 1–3 years of hands-on experience in data analytics, marketing analytics, data science, or a closely related analytical field.
• Exceptional ability to communicate complex analytical findings to diverse audiences.
• Strong understanding of statistical concepts and methodologies.
• Proficiency in Excel or similar spreadsheet software.
• Robust understanding of social media metrics across major platforms (Instagram, TikTok, YouTube, X, Facebook).
• Experience analyzing content performance across total, paid, and organic channels.

Responsibilities

• Build, maintain, and optimize data-driven models to elevate campaign performance and identify trends.
• Translate model outputs into clear, actionable insights and reports for marketing and product teams.
• Develop, maintain, and automate content taxonomies for attribution and performance analyses.
• Use NLP and topic modeling to analyze digital consumer feedback for insights.

Skills

Data analytics

Marketing analytics

Communication

Statistics

Excel

Social media metrics

Education

Bachelor's degree or equivalent

Tools

SQL

Python

R

Job description

Aquent Talent is seeking an Analyst, Digital Marketing to transform complex data into strategic insights. You will drive improvements in campaign performance and product optimization, leveraging your analytics to guide data-driven decisions for a large audience.

The role emphasizes building models, reporting insights, and applying NLP to consumer feedback to support internal services and competitive positioning.