Manager - Analytics

At Pitney Bowes, we do the right thing, the right way. As a member of our team, you can too.

We have amazing people who are the driving force, the inspiration and foundation of our company. Our thriving culture can be broken down into four components: Client. Team. Win. Innovate.

We Actively Look For Prospects Who

• Are passionate about client success.
• Enjoy collaborating with others.
• Strive to exceed expectations.
• Move boldly in the quest for superior and best in market solutions.

Join Pitney Bowes as an Analytics Manager

Experience - 8 To 10 Years

Location - Noida/Pune

Role Overview

We are seeking a highly analytical and strategic Client Analytics Manager to lead data-driven initiatives that support business growth and analytical excellence. This role reports to the Senior Manager, Client Data & Insights and will partner closely with SendTech teams to deliver actionable insights, drive reporting excellence, and influence strategic decisions through compelling storytelling and advanced analytics.

The ideal candidate brings strong technical expertise across SQL, Power BI, ETL, Python, and Machine Learning, along with the ability to collaborate effectively with cross-functional stakeholders.

Key Responsibilities

• Partner with SendTech teams to deliver high-impact insights that enable data-driven decision making.
• Own and manage end-to-end shipping-related reporting, ensuring accuracy, consistency, and scalability.
• Design, build, and maintain dashboards and analytical models using Power BI and SQL.
• Automate manual reporting and processes through ETL workflows and data engineering best practices.
• Develop and deploy machine learning models to improve forecasting and customer analytics.
• Influence strategic initiatives through strong storytelling, visualization, and executive-ready presentations.
• Collaborate with cross-functional teams including Marketing, Sales, Product, and Finance.
• Ensure data quality, governance, and performance optimization across reporting pipelines.

• 7+ years of hands-on experience in SQL (advanced querying, optimization, data modeling).
• 4+ years of experience with Power BI (dashboard design, DAX, data modeling).
• 2+ years of experience working with ETL tools and performing data engineering tasks.
• 2+ years of experience with Python for analytics and automation.
• 2+ years of experience in Machine Learning (model development, validation, deployment).
• Strong analytical thinking and problem-solving skills.
• Excellent verbal and written communication skills.
• Proven ability to work effectively with cross-functional team

• Prior experience managing or mentoring a team.
• Experience in B2B analytics environments.
• Experience in AI-driven solutions and AI data agents development.
• Exposure to shipping/logistics analytics is a plus.

• Scalable, automated reporting frameworks.
• Actionable insights that directly influence strategic decisions.
• Strong stakeholder trust built through data clarity and storytelling.

Pitney Bowes (NYSE:PBI) is a global technology company providing commerce solutions that power billions of transactions. Clients around the world, including 90 percent of the Fortune 500, rely on the accuracy and precision delivered by Pitney Bowes solutions, analytics, and APIs in the areas of ecommerce fulfillment, shipping and returns; cross-border ecommerce; office mailing and shipping; presort services; and financing. For 100 years Pitney Bowes has been innovating and delivering technologies that remove the complexity of getting commerce transactions precisely right. For additional information visit Pitney Bowes at https://www.pitneybowes.com/in.

We Will

• Provide the will: opportunity to grow and develop your career
• Offer an inclusive environment that encourages diverse perspectives and ideas
• Deliver challenging and unique opportunities to contribute to the success of a transforming organization
• Offer comprehensive benefits globally (PB Live Well)

Pitney Bowes is an equal opportunity employer that values diversity and inclusiveness in the workplace.

All interested individuals must apply online.