Senior Data Analyst, Revenue Operations

$150,000 - $180,000/Yr

Adyen - New York, NY

Full-time - Mid Level

Remote - New York, NY

Publishing Industries

About the position

The Senior Data Analyst role at Adyen focuses on enhancing team efficiency and enabling self-service analytics for the Commercial organization. The position involves leveraging technical expertise to provide actionable insights, drive automation, and improve decision-making through data analysis and governance.

Responsibilities

• Collaborate with internal analytics teams to develop and optimize Revenue Operations data pipelines using PySpark and other big data tools.
• Create and enhance ETLs to ensure data consistency and reliability.
• Design LookML models and build Looker dashboards.
• Develop and maintain a data governance strategy that ensures data quality and reliability.
• Own technical documentation, creating detailed and consistent records for data processes, models, and pipelines.
• Act as the technical subject matter expert for the Revenue Analytics team, providing troubleshooting support as needed.
• Automate reporting processes to drive scalability in projects and products, such as Quarterly Business Reviews (QBRs).
• Convert data into formats optimized for analysis to support commercial challenges faced by regional teams.
• Identify business data needs, translate them into technical requirements, and ensure infrastructure and pipelines are in place for data collection and integration.
• Collaborate with cross-functional data teams to develop scalable and reusable frameworks for evaluating large datasets on pressing business questions.

Requirements

• 4+ years of experience in Data Analytics.
• Proficiency in Python and SQL for data analysis and processing.
• Good communication and collaboration skills, with the ability to work effectively within a global, multicultural team.
• Experience with analytical and statistical techniques, including both descriptive and predictive analytics (e.g., distributions, correlations, hypothesis testing, regression analysis).
• Data wrangling expertise: skilled in cleaning, transforming, and organizing large datasets, handling missing data, detecting outliers, and ensuring data integrity.
• Strong analytical skills: adept at extracting meaningful insights from complex datasets and translating them into actionable recommendations.
• Availability for business trips to support collaboration on projects and other initiatives that may require in-person engagement.

Nice-to-haves

• Experience working with commercial teams, particularly in B2B companies that rely on commercial data for informed decision-making.
• Familiarity with big data tools such as Spark and Airflow.
• A background in econometrics, data science, engineering, or other quantitative studies.

Benefits

• Annual base salary of $150,000 - $180,000.
• Opportunities for career growth and development.
• Diversity, Equity, and Inclusion initiatives.
• Support for flexible working arrangements.