Analyst – Verification & Validation (V&V)

Quartile·Remote(Brazil)
Data & Analytics
Excel

WFA Digital Insight

As demand for retail media optimization surges, specialists with expertise in data validation and Excel are in high demand. With the global retail media market expected to reach

00 billion by 2027, companies like Quartile are at the forefront of this growth. In this role, you'll join a team that's pushing the boundaries of retail media optimization, working with cutting-edge technologies and collaborating with cross-functional teams. To succeed, you'll need strong analytical skills, attention to detail, and the ability to manage multiple tasks simultaneously. Before applying, consider your experience with SQL, data querying, and validation, as well as your ability to work under pressure and meet tight deadlines.

Job Description

About the Role

As an Analyst – Verification & Validation at Quartile, you'll play a critical role in ensuring the integrity of our data pipelines and algorithms. Our platform is designed to optimize retail media for some of the world's largest brands and sellers, and we need skilled professionals like you to help us drive growth. You'll be working closely with our Product and Engineering teams to identify and resolve issues, validate new products and changes to existing ones, and analyze the impact of changes on our data, reports, and business rules.

Our team is committed to creating a culture of inclusion and belonging, and we welcome applications from diverse backgrounds and experiences. As a member of our V&V team, you'll be responsible for performing daily verification of system and algorithm functionality, validating that data is correctly received, processed, and calculated, and approving daily system operation according to a rotation schedule.

What You Will Do

  • Perform daily verification of system and algorithm functionality
  • Validate that data is correctly received, processed, and calculated
  • Approve daily system operation according to a rotation schedule, including weekends and holidays
  • Validate new products and changes to existing products
  • Analyze the impact of changes on data, reports, and business rules
  • Work closely with Product and Engineering teams
  • Provide technical customer support through ticket management and resolution
  • Identify, document, and communicate system inconsistencies, failures, or bugs
  • Prioritize tasks based on urgency and business impact
  • Manage multiple tasks simultaneously and meet tight deadlines
  • Develop and maintain strong relationships with cross-functional teams

What We Are Looking For

  • Familiarity with SQL for data querying and validation
  • Experience with Excel
  • Strong analytical skills and understanding of system logic
  • Ability to manage multiple tasks simultaneously
  • Proactive approach to problem identification and resolution
  • Ability to prioritize tasks based on urgency and impact
  • High sense of responsibility and ownership over critical operations
  • Ability to work under pressure and meet tight deadlines
  • Strong teamwork and communication skills
  • Good communication skills to interact with technical and non-technical teams
  • Intermediary English

Nice to Have

  • Experience with Databricks or similar data platforms
  • Background in QA, Data Quality, Validation, Product, or Technical Support roles
  • Basic knowledge of programming logic
  • Previous experience supporting technical customers

Benefits and Perks

  • The opportunity to join an international team
  • Paid leave on US holidays
  • Paid time off
  • Periodical bonus payouts based on team goals
  • Opportunities for professional growth and development
  • Collaborative and dynamic work environment
  • Access to cutting-edge technologies and tools
  • Flexible working hours and remote work arrangements

How to Stand Out

  • Tip: Make sure to highlight your experience with Excel and SQL in your application, as these skills are essential for this role.
  • To stand out, showcase your ability to analyze complex data sets and identify trends and insights.
  • When preparing for the interview, focus on your understanding of system logic and data validation, and be ready to provide examples of how you've applied these skills in previous roles.
  • Consider creating a portfolio that demonstrates your technical skills, such as data visualization or programming projects.
  • Be prepared to discuss your experience working with cross-functional teams and your ability to communicate technical information to non-technical stakeholders.

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