Manager - Analytics

Pitney Bowes; Indiana; Híbrido; USD 26.000 - 42.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

PB Benefits

Wellbeing Programs

Descripción de la vacante

Pitney Bowes is seeking a Manager – Analytics to lead the evolution of our analytics capabilities, spanning data modeling, reporting, and advanced analysis across SendTech. You will partner with business leaders to ensure data reliability and actionable insights, while scaling our analytics foundation for future initiatives.

You will manage a team of analysts, drive end-to-end reporting, and shape data governance and AI-enabled data strategies in a hybrid Pune environment.

Formación

• 9–13 years of experience in Analytics / BI / Data roles.
• Expert SQL skills (complex querying, optimization, data modeling).
• 5+ years of experience with BI tools (Power BI) with strong DAX and modeling.
• 5+ years of experience in ETL/ELT and data engineering.
• 5+ years of experience in Machine Learning (model development, validation, deployment).
• 5+ years of experience with Python for analytics and automation.
• Proven experience managing teams and mentoring analysts.
• Strong analytical thinking and problem-solving skills.
• Excellent verbal and written communication skills.
• Proven ability to work effectively with cross-functional teams.

Responsabilidades

• Partner with senior stakeholders to drive data-informed decision making.
• Lead and mentor a team of junior data analysts to deliver client data insights.
• Own and standardize end-to-end reporting frameworks and Power BI dashboards.
• Design and manage scalable data models across multiple data sources in Snowflake ecosystem.
• Ensure data quality, governance, and performance optimization across pipelines.
• Establish best practices for data governance, documentation, and quality.
• Drive automation through ETL/ELT pipelines and modern data stack tools.
• Develop and deploy machine learning models to improve forecasting and analytics.
• Enable self-service analytics and improve data accessibility for business users.
• Collaborate cross-functionally with Product, Finance, Sales, and Marketing teams.

Conocimientos

SQL

Power BI

ETL/ELT

Python

Machine Learning

Team leadership

Communication

Data modeling

Analytics

Problem solving

Herramientas

Snowflake

Power BI

Git

Descripción del empleo

We’re hiring at Pitney Bowes, where top talent builds meaningful careers and lasting impact. We Move fast, Deliver excellence, and Win together…that’s The Pitney Bowes way. Here, how we work matters just as much as what we achieve.

We’re Looking For People Who

• Act with urgency, accountability, and purpose
• Deliver high quality work with consistency and pride
• Collaborate effectively and elevate those around them
• Focus on outcomes that drive impact and growth

Job Description

Join Pitney Bowes as Manager – Analytics

Location - Pune (Hybrid)

Experience - 9-12 years

Role Overview

We are seeking a Manager – Analytics & Data Strategy to lead the evolution of our analytics capabilities into a scalable, governed, and insight-driven ecosystem. This role owns end-to-end analytics delivery—spanning data modeling, reporting frameworks, and advanced analysis to drive high-impact business decisions across SendTech. You will act as a strategic partner to business leaders, ensuring data is reliable, accessible, and actionable, while building a strong analytics foundation to support future advanced initiatives.

Key Responsibilities

• Partner with senior stakeholders to drive data-informed decision making and translate business problems into analytical solutions
• Lead and mentor a team of junior data analysts to deliver high-quality client data insights
• Own and standardize end-to-end reporting frameworks and business-critical Power BI dashboards
• Design and manage scalable data models across multiple data sources in Snowflake ecosystem
• Ensure data quality, governance, and performance optimization across reporting pipelines
• Establish best practices for data governance, documentation, and quality
• Drive automation through robust ETL/ELT pipelines and modern data stack tools
• Develop and deploy machine learning models to improve forecasting and client analytics
• Enable self-service analytics and improve data accessibility for business users
• Collaborate cross-functionally with Product, Finance, Sales, and Marketing teams

Required Qualifications & Skills

• 9–13 years of experience in Analytics / BI / Data roles
• Expert SQL skills (complex querying, optimization, data modeling)
• 5+ years of experience with BI tools (Power BI preferred; strong DAX and modeling)
• 5+ years of experience in ETL/ELT and data engineering
• 5+ years of experience in Machine Learning (model development, validation, deployment).
• 5+ years of experience with Python for analytics and automation
• Proven experience managing teams and mentoring analysts
• Strong analytical thinking and problem-solving skills
• Excellent verbal and written communication skills
• Proven ability to work effectively with cross-functional teams

Preferred Qualifications

• 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.

What Success Looks Like

• Scalable, well-governed data models and reporting frameworks
• Significant reduction in manual reporting through automation
• High-impact insights that influence strategic decisions
• Improved data reliability and stakeholder trust

About Pitney Bowes

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 Benefits and Wellbeing Programs)

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