What you will be doing:
- Data Analysis and Reporting:
- Analyze large datasets to identify trends, patterns, and insights related to retail media network performance.
- Develop and maintain dashboards to monitor key performance indicators (KPIs) such as Return on Ad Spend (ROAS), click-through rates (CTR), conversion rates, and overall campaign effectiveness by ad type, ad format, geography, and advertiser.
- Provide regular and ad-hoc reports to stakeholders, highlighting key findings and recommendations for optimizing the program to increase revenue for our retail clients who manage their own Retail Media Networks.
- Campaign Performance Evaluation:
- Evaluate the success of advertising campaigns by analyzing media performance data across various channels including search, display, and programmatic advertising.
- Collaborate with media buyers and campaign managers to optimize media strategies based on data-driven insights.
- Identify opportunities for improving campaign performance and implement strategies to enhance ROI.
- Strategic Collaboration:
- Work closely with the Retail Media Channel Managers and other internal teams to align data insights with overall media strategies.
- Collaborate with external partners, such as ad tech vendors and retail partners, to ensure data integrity and consistency across platforms.
- Support the development and execution of test and learn strategies to explore new approaches and validate innovative ideas.
- Data Quality and Integrity:
- Ensure the accuracy and reliability of data by conducting thorough data validation and quality checks.
- Address data discrepancies and work with data engineering teams to resolve any issues affecting data integrity.
- Continuously monitor data quality and implement processes to maintain high standards.
- Stakeholder Communication:
- Clearly and concisely communicate complex data insights to both technical and non-technical stakeholders.
- Prepare and present detailed reports and presentations to senior leadership, providing actionable recommendations based on data analysis.
- Act as a subject matter expert on retail media network data, offering guidance and support to internal teams.
What you bring:
- 3+ years of experience in data analysis, preferably within the retail media or digital advertising sectors.
- Experience in Python, R, SQL or other relevant programming languages, as well as experience with: Spark libraries, Scala programming, Experience with distributed computing and experience with Hadoop and cloud databases
- Strong understanding of data warehousing, ETL processes, and data visualization tools (Tableau, Power BI, DOMO, etc,)
- Demonstrated ability to translate complex data into actionable insights.
- Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
- Strong attention to detail and a proactive approach to problem-solving.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Marketing, or a related field; MBA is a plus.
- Preferred Qualifications:
- Experience working with retail media networks, DSPs and ad servers or digital advertising platforms (e.g., Google Ads, Amazon DSP, Walmart Connect, Orange Apron, Kevil, Criteo, The Trade Desk or others).
- Knowledge of marketing and advertising metrics, including ROAS, CTR, and conversion rates.
- Familiarity with data management processes, ETL pipelines, and data governance principles.
- Ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment.
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