Senior, Data Analytics & BI, Global, Converse

Information about benefits can be found here.

WHO YOULL WORK WITH

The Data Analytics & Intelligence team sits at the center of Converses data and insight ecosystem enabling Planning Merchandising Finance and enterprise partners to make smarter faster decisions through trusted data advanced analytics and scalable Business Intelligence capabilities. This role reports into the Data Analytics & Intelligence organization and collaborates cross-functionally with business leaders analysts data engineers and technology partners to modernize the data foundation and elevate analytics across Converse.

WHO WE ARE LOOKING FOR

Converse is looking for a data and analytics professional who combines deep technical expertise with strong business acumen and a passion for turning complex data into meaningful action. The ideal candidate brings experience applying advanced analytical methods statistical modeling forecasting optimization and machine learning to solve challenging business problems. They are comfortable working with large imperfect datasets and can translate ambiguous questions into scalable analytical products that drive business outcomes.

This person thrives at the intersection of technology analytics and strategy. They possess strong Python and SQL capabilities understand modern cloud-based analytics environments and can communicate technical concepts clearly to non-technical audiences. They are naturally curious highly collaborative and motivated by building repeatable solutions that improve decision-making accelerate insights and unlock value across the enterprise. Experience in retail consumer products planning merchandising or finance environments is preferred.

• 5 years of experience in advanced analytics data science business analytics Business Intelligence or related technical roles.
• Bachelors degree in Data Science Analytics Statistics Mathematics Computer Science Engineering Economics Business Analytics or related field. Will accept any suitable combination of education experience and training.
• Advanced proficiency in SQL Python statistical modeling forecasting optimization and machine learning techniques.
• Experience with Databricks Snowflake modern cloud analytics platforms and visualization tools such as Sigma Tableau or similar solutions.
• Practical experience applying Artificial Intelligence Machine Learning Generative Artificial Intelligence Large Language Model-based workflows agentic systems or Retrieval-Augmented Generation capabilities.

WHAT YOULL WORK ON

You will build advanced analytics capabilities that help Converse leaders understand performance anticipate opportunities and risks and make more confident business decisions. Through data science forecasting and analytical product development you will transform complex data into scalable solutions that accelerate insight and action across the enterprise.

• Develop maintain and evolve data science and advanced analytics capabilities that support Planning Merchandising Finance and enterprise business partners.
• Access transform and analyze data using SQL Python and modern analytics platforms to uncover actionable business insights.
• Design and deploy forecasting predictive modeling optimization and machine learning solutions that improve planning accuracy and business performance.
• Build reusable analytical workflows models and data products that increase automation consistency scalability and speed to insight.
• Partner closely with business stakeholders to translate analytical findings into clear recommendations that drive growth profitability inventory productivity and consumer outcomes.
• Collaborate with data engineering analytics and technology teams to improve data quality governance accessibility and usability across the modern data ecosystem.
• Advance data literacy and strengthen the data science community by sharing knowledge promoting best practices and exploring emerging Artificial Intelligence capabilities that responsibly scale decision support and analytical impact.

We offer a number of accommodations to complete our interview process including screen readers sign language interpreters accessible and single location for in-person interviews closed captioning and other reasonable modifications as needed. If you discover as you navigate our application process that you need assistance or an accommodation due to a disability please complete the Candidate Accommodation Request Form.