The Tombras Group - Atlanta, GA

posted 2 months ago

Full-time - Mid Level
Atlanta, GA
251-500 employees
Professional, Scientific, and Technical Services

About the position

Tombras, a full-service national advertising and digital transformation agency, is seeking a Retail Media Network Data Analyst to join our team. With over 400 employees, we are committed to maintaining a market-leading position in the rapidly evolving field of retail media. This role is crucial in optimizing and monetizing retail media networks by providing in-depth quantitative analysis and insights. The Retail Media Network Data Analyst will focus on evaluating the performance of advertising campaigns across various platforms, analyzing data to uncover trends, and driving actionable strategies that enhance advertising effectiveness and ROI for both advertisers and the retailers monetizing their ecommerce platforms. In this position, you will collaborate closely with internal teams, stakeholders, and external partners to ensure the successful execution of data-driven initiatives that align with the company's business objectives. Your responsibilities will include analyzing large datasets to identify trends, patterns, and insights related to retail media network performance, as well as developing and maintaining 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. You will also evaluate the success of advertising campaigns by analyzing media performance data across various channels, including search, display, and programmatic advertising. Collaborating with media buyers and campaign managers, you will optimize media strategies based on data-driven insights and identify opportunities for improving campaign performance. Additionally, you will ensure the accuracy and reliability of data by conducting thorough data validation and quality checks, addressing data discrepancies, and continuously monitoring data quality to maintain high standards. Clear communication of complex data insights to both technical and non-technical stakeholders will be essential, as you prepare and present detailed reports and presentations to senior leadership, providing actionable recommendations based on your analysis.

Responsibilities

  • 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.
  • Provide regular and ad-hoc reports to stakeholders, highlighting key findings and recommendations for optimizing the program to increase revenue for retail clients.
  • 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.
  • Work closely with Retail Media Channel Managers and other internal teams to align data insights with overall media strategies.
  • Collaborate with external 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.
  • 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.
  • 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.

Requirements

  • 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.
  • Experience with Spark libraries, Scala programming, and distributed computing.
  • 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.

Nice-to-haves

  • Experience working with retail media networks, DSPs and ad servers or digital advertising platforms (e.g., Google Ads, Amazon DSP, Walmart Connect, etc.).
  • 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.

Benefits

  • Relocation assistance
  • 401(k) with 3% match
  • Unlimited paid time off
  • Dental insurance
  • Vision insurance
  • Generous parental leave for primary and non-primary caregivers
  • Medical (PPO or High Deductible option) for employee + dependents
  • Employer-paid Dental & Vision
  • A company culture of promotions from within and an atmosphere allowing for varied and rapid career development.
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