Data Analyst

👫 About the team

Being data-driven is more than a buzzword at Equativ, it is our mission. The Analytics team maximizes efficiency by providing seamless access to high-quality data and strategic insights. We ensure our internal teams and external partners are equipped to make informed business decisions. To do so, we leverage massive data volumes (250B+ daily auctions) through a state-of-the-art tech stack (Snowflake, Tableau, Google Cloud Platform, Airflow) to deliver actionable intelligence across the entire Equativ ecosystem.

As a Data Analyst, you will report to the Americas Analytics Lead, and join a global team of 10+ Analytics professionals across New York, Montréal, London, and Paris.

Role is 50% remote and the candidate must be able to work in the NYC Office.

✏️ What You'll Do

• Monitor Business Health: Proactively monitor global performance, flag anomalies, and propose corrective actions before they impact the bottom line
• Drive Revenue via Insights: Conduct analysis and investigations into performance to maximize operational efficiency
• Build & Design: Create high-impact analytical resources such as dashboards, reports, alerting systems, and investigation tools
• Training & Adoption: Act as a liaison between the analytics team and our business stakeholders in the US+Canada. You will educate stakeholders and train them on how to leverage our resources, making them more autonomous
• Push Us Forward: Keep Equativ ahead of the curve in data and adtech. We want you to bring creative solutions to the table: such as leveraging AI to automate manual reporting, or finding smarter ways to streamline processes
  
  
  
  

🤝 Collaboration

• Strategic Advisory: Move beyond just "providing data" to becoming a consultant for the North American teams, helping them understand the why behind the numbers, align on their needs, and understand their pain points
• Relationship Management: Exchange with your internal customers and the rest of the analytics team on a regular basis in order to understand their current priorities
• Driving Adoption: Ensure proper adoption of the metrics and tools with an internal “go to market strategy” (testing phase, communication, training sessions, continuous optimization…)
  
  
  
  

🤩 Why You Should Join Us:

• The Best of Both Worlds: This is a uniquely hybrid Data/Business Analyst role. You won’t just be writing code and handing off a report - you’ll be in the room where business decisions happen, blending technical execution with business strategy
• Master a Modern Tech Stack: Work in an intellectually stimulating environment with the best tools in the industry, including: Snowflake, Tableau, Looker, Airflow, Python, and Google BigQuery
• Collaborative, Growth-First Culture: We pride ourselves on a collaborative atmosphere that prioritizes your professional development. You’ll be supported by a team that encourages you to experiment, fail fast, and level up quickly
• High-Impact Role: Join a profitable company with opportunities to drive tangible results and contribute to the company during an exciting phase of growth
  
  
  
  

💪 About You

• 1-2 years of professional experience in an analytical role
• Technically Proficient: Practical experience with SQL, Excel/Google Sheets, and visualization tools like Tableau (or similar reporting tools)
• Natural Problem Solver: You are curious, love solving problems and forming recommendations, and want to develop your autonomy and expertise
• Excellent Communicator: You can present insights and recommendations clearly to both technical and non-technical audiences
• Collaborative Mindset: Equally comfortable working independently or as part of a team to drive the business forward
• Organized & Diligent: Effective time management skills with the ability to prioritize work and meet deadlines
• Language Skills: Fully fluent in English
• Bonus Points: Industry Knowledge is a plus; Foundational AI Knowledge is a plus
  
  
  
  

Interview Process

• Interview with our Talent Acquisition team(30’)
• SQL Test
• Interview with the Analytics Lead (45’)
• Interview with our Analytics Director (45’)
• Home assignment