Retail Media Network Data Analyst

Tombras

Atlanta (GA)

On-site

USD 60,000 - 100,000

Full time

14 days+

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Benefits offered by this job

Unlimited PTO
Generous parental leave
Medical for employee + dependents
401(k) Participation + 3% employer match
Employer-paid Dental & Vision
Dog-friendly office
Family-oriented environment
Promotions from within
Modern building in Downtown Knoxville

Job summary

Join a dynamic and innovative agency as a Retail Media Network Data Analyst, where you'll play a vital role in optimizing retail media networks through data-driven insights. This position offers the chance to work with large datasets, collaborate with cross-functional teams, and drive strategies that enhance advertising effectiveness and ROI. You'll be part of a creative environment recognized for its excellence in the industry, contributing to the success of clients by transforming data into actionable insights. If you're passionate about data analysis and want to make a significant impact in the digital advertising landscape, this is your opportunity!

Qualifications

  • 3+ years of experience in data analysis within retail media or digital advertising.
  • Strong understanding of data warehousing and ETL processes.

Responsibilities

  • Analyze large datasets to identify trends and insights for retail media networks.
  • Evaluate advertising campaign performance across various channels.

Skills

Data Analysis
Python
SQL
Communication Skills
Problem Solving
Attention to Detail

Education

Bachelor's Degree in Computer Science
Master's Degree in related field

Tools

Tableau
Power BI
Hadoop
Spark

Job description

Tombras, a 400+ person, full-service, national advertising and digital transformation agency, is seeking a Retail Media Network Data Analyst. We’re invested in building and maintaining a market-leading position in the rapidly evolving field of retail media. We are committed to transforming the digital landscape by enabling retailers and brands to connect with consumers through innovative, data-driven advertising solutions.

The Retail Media Network Data Analyst plays a crucial role in optimizing and monetizing retail media networks by providing in-depth quantitative analysis and insights. This position focuses 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. The Retail Media Network Data Analyst 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.

Where you'll be working: Atlanta or Knoxville. Relocation assistance may be provided.

What you will be doing:

  1. 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:
    1. 3+ years of experience in data analysis, preferably within the retail media or digital advertising sectors.
    2. Experience in Python, R, SQL or other relevant programming languages, as well as experience with Spark libraries, Scala programming, distributed computing, Hadoop, and cloud databases.
    3. Strong understanding of data warehousing, ETL processes, and data visualization tools (Tableau, Power BI, DOMO, etc.).
    4. Demonstrated ability to translate complex data into actionable insights.
    5. Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
    6. Strong attention to detail and a proactive approach to problem-solving.
    7. Bachelor’s or Master’s degree in Computer Science, Engineering, Marketing, or a related field; MBA is a plus.
    8. Preferred Qualifications:
    9. Experience working with retail media networks, DSPs, and digital advertising platforms (e.g., Google Ads, Amazon DSP, Walmart Connect, etc.).
    10. Knowledge of marketing and advertising metrics, including ROAS, CTR, and conversion rates.
    11. Familiarity with data management processes, ETL pipelines, and data governance principles.
    12. Ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment.
    Why you’ll want to work at Tombras:
    You’ll be joining one of the top independent agencies in North America. Connecting Data & Creativity for Business Results is working for our clients and creating a flywheel effect fueling both client and agency growth. You’ll be a part of a highly creative agency recognized by AdAge, Adweek, Communication Arts, Fast Company, Forbes, and Fortune. Tombras was named Ad Age's 2024 Independent Agency of the Year and an AdAge A-List Standout Agency in 2022 and 2023.

    Tombras Benefits:
    Family - It comes first, on every list. Tombras has been family-run since day 1; we strive to facilitate a family-oriented environment rooted in supporting one another.

    Dog-friendly office(Knoxville)

    Unlimited PTO

    Generous parental leave for primary and non-primary caregivers.

    Medical (PPO or High Deductible option) for employee + dependents

    401(k) Participation + 3% employer match

    Employer-paid Dental & Vision

    A company culture of promotions from within and an atmosphere allowing for varied and rapid career development.

    New, Modern building in Downtown Knoxville

    Tombras is proud to be an equal opportunity employer dedicated to pursuing and hiring a diverse workforce.

    This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee. Duties, responsibilities, and activities may change or new ones may be assigned at any time with or without notice. Job may require traveling overnight, driving long distances as required, and sitting for extended periods of time with occasional walking and standing and occasionally lifting or carrying articles weighing less than 10 pounds.
    Seniority level
    • Associate
    Employment type
    • Full-time
    Job function
    • Information Technology
    • Industries
    • Transportation, Logistics, Supply Chain and Storage
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