Marketing Science Analyst
2 weeks ago
While we continuously exceed our goals, we need your help - our success is only as great as our people. Strong performance leads to high expectations, and we must keep raising the bar
Viral Nation is seeking a talented
**Marketing Science Data Analyst** join our team. They will will be responsible for helping us revolutionize the way we measure, analyze, and optimize our marketing efforts across our diverse range of products. In this role, you'll collaborate closely with the Director and our top-notch data, analytics, and AI team to provide data-driven insights to our clients and internal stakeholders.
**What you'll do here**:
- Work together with the team to implement attribution models that align with our services and business solutions, helping clients understand the impact of our marketing strategies and campaigns.
- Generate analytics and reports for clients that address their direct and indirect business objectives, problems, and decisions.
- Provide analytical support and guidance to our data scientists and analysts as they create custom algorithms for custom outcomes that enable Activation and Client Services teams to derive benchmarks and estimates for more predictable outcomes.
- Build and maintain strong relationships with internal stakeholders and clients to ensure data-driven insights are integrated into all aspects of their business.
- Create custom insights and research for our top-tier clients, verticals, and industries to support agency pitches, QBR, and annual reviews.
- Use your expertise in data analytics tools and techniques to drive successful outcomes for influencer marketing and social media campaigns.
- Streamline data collection, analysis, and reporting, ensuring that all data is accurate, complete, and up to date.
**What you need to have**:
- Bachelor's degree in a quantitative field such as statistics, economics, mathematics, or computer science.
- 3+ years of experience in marketing analytics or a related field, with a strong understanding of data analytics tools and techniques.
- Familiarity with experimental design, statistical analysis, and machine learning techniques.
- Proficiency in SQL and at least one programming language (Python, R, etc.).
- Excellent communication and stakeholder management skills, with the ability to work effectively in a team environment.
- Understanding of the digital advertising ecosystem, including ad serving platforms, tracking technologies, and attribution models.
- Analytical and problem-solving skills, with a passion for using data to drive business decisions.
- Familiarity with cloud computing services such as AWS, GCP, or Microsoft Azure.
- Experience with data science programming languages or tools such as SQL, Big Query, Python, R, etc.
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