Manager - Analytics

Posted 6 Days Ago
Be an Early Applicant
Pune, Mahārāshtra, IND
In-Office
Expert/Leader
Information Technology • Logistics • Financial Services
The Role
Leads analytics and data strategy across reporting, data modeling, Power BI dashboards, governance, data quality, ETL/ELT automation, and machine learning. Partners with senior stakeholders to translate business needs into analytical solutions, enables self-service analytics, and manages and mentors data analysts. The role collaborates with Product, Finance, Sales, and Marketing to deliver reliable insights and scalable data capabilities.
Summary Generated by Built In

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.
All interested individuals must apply online.

Skills Required

  • 9-13 years of experience in analytics, business intelligence, or data roles
  • Expert SQL skills, including complex querying, optimization, and data modeling
  • 5+ years of experience with business intelligence tools, preferably Power BI, including DAX and modeling
  • 5+ years of experience in ETL/ELT and data engineering
  • 5+ years of experience in machine learning, including model development, validation, and deployment
  • 5+ years of experience with Python for analytics and automation
  • Experience managing teams and mentoring analysts
  • Strong analytical thinking and problem-solving skills
  • Excellent verbal and written communication skills
  • Ability to work effectively with cross-functional teams
  • Prior experience managing or mentoring a team
  • Experience in B2B analytics environments
  • Experience in AI-driven solutions and AI data agent development
  • Exposure to shipping or logistics analytics

Pitney Bowes Inc. Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Pitney Bowes Inc. and has not been reviewed or approved by Pitney Bowes Inc..

  • Healthcare Strength — Health coverage includes medical, dental, and vision options plus mental health support, FSAs/HSAs, an Employee Assistance Program, and wellness offerings. Feedback suggests these features are a notable bright spot within total rewards.
  • Retirement Support — Retirement offerings include a 401(k) with company match and a pension plan, alongside financial protections and an Employee Stock Purchase Plan. These elements pair with solid insurance to strengthen overall financial security.
  • Parental & Family Support — Family supports include paid parental leave and adoption assistance, complemented by family medical leave. These programs align with broader leave options to support caregiving needs.

Pitney Bowes Inc. Insights

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The Company
HQ: Stamford, CT
12,066 Employees
Year Founded: 1920

What We Do

Pitney Bowes (NYSE:PBI) is a global shipping and mailing company that provides technology, logistics, and financial services to more than 90 percent of the Fortune 500. Small business, retail, enterprise, and government clients around the world rely on Pitney Bowes to remove the complexity of sending mail and parcels. For additional information visit Pitney Bowes at www.pitneybowes.com.

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