Data Scientist / Digital Commerce Marketing Analytics Consultant
1400 Holcomb Bridge Road Atlanta, GA 30076 US
Job Description
Key Responsibilities:
- Data Analysis and Modeling:
- Analyze digital commerce and retail media data to identify factors driving higher or lower conversion rates.
- Develop and implement predictive models to determine overarching insights and recommendations in order to optimize bids on keywords based on volume and profit driven by incremental share of voice.
- Utilize complex SQL logic to ETL disparate data tables and sources.
- Apply machine learning algorithms and statistical techniques to uncover hidden relationships and correlations within large first party datasets.
- Strategic Insights and Recommendations:
- Provide actionable recommendations to improve search spending and conversion rates.
- Present findings and insights to senior leadership and stakeholders using visualizations and interactive dashboards designed for non-technical audiences.
- Drive the development of strategic recommendations on analytics projects associated with business unit strategy in close collaboration with key leaders across the organization.
- Project Management and Collaboration:
- Handle end to end framing, execution and communication of advanced analytics projects to distill insights for senior business leaders in support of strategic business plans.
- Collaborate with cross-functional teams to integrate data-driven insights into strategic decision-making processes.
- Manage the engagement of advanced analytics projects, including external suppliers, to ensure projects are executed accurately, timely, and cost-efficiently.
- Proactively take on additional responsibilities and projects as needed to continuously improve performance.
Qualifications:
Preferred Qualifications:
- Experience working with large datasets and cloud-based data platforms (e.g., AWS, Azure).
- Knowledge of digital advertising platforms and tools (e.g., Amazon Marketing Cloud, Google Ads, Facebook Ads).
- Strong problem-solving skills and attention to detail.
- Ability to work independently and manage multiple projects simultaneously.
- CPG (Consumer Packaged Goods) analytics background preferred.
Job Requirements
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