RevOps Analytics Manager

Pitney Bowes; Sunnyside (CT); Hybrid; USD 100,000 - 120,000; Full time

Benefits offered by this job

Comprehensive benefits

Remote/hybrid options

Career growth opportunities

Job summary

Pitney Bowes is seeking a data analytics professional who thrives in a cross‑functional environment. You will own data models, pipelines, and dashboards, partnering with Sales, Marketing, Product, and IT to transform complex datasets into clear insights.

You will build and maintain SQL queries, leverage Snowflake, and drive data storytelling to influence business decisions. This role emphasizes accuracy, collaboration, and impact across time zones.

Qualifications

• Bachelor’s degree in technology or a quantitative field or equivalent experience.
• 4–5 years of experience in data analysis and reporting.
• At least four years of advanced SQL experience for data extraction, transformation, and modeling.
• Advanced experience using Snowflake for analytics.
• Strong foundational knowledge of Salesforce, SAP, and Oracle OLFM.
• Minimum two years of experience with Microsoft Power BI.
• A passion for visualization, analysis, and championing data‑driven decision‑making.
• Strong project management and prioritization skills, with the ability to manage multiple deadlines.
• Experience collaborating with delivery teams across time zones.
• Excellent written and verbal communication skills, with the ability to influence senior leadership and secure executive buy‑in.
• Preferred experience with Python.
• Experience with Snowflake Intelligence / Agentic AI.
• Experience with marketing campaign planning, execution, reporting, and optimization, including familiarity with key marketing terminology.

Responsibilities

• Partner with Sales Operations, Sales, Marketing, Product, IT, and external partners to understand business goals, challenges, and growth opportunities.
• Own the Sales Coverage Model, ensuring alignment with GTM strategy, client hierarchy management, and prioritization modeling.
• Lead renewals campaign data and forecasting for the Inside Sales team.
• Develop and maintain SQL queries (Snowflake and SQL Server), stored procedures, and data pipelines (SSIS) to support reporting and analytics.
• Ensure data accuracy and consistency across systems, sources, and reports.
• Build, optimize, and manage dashboards, KPIs, and reporting assets using multiple data sources to deliver actionable insights.
• Conduct deep‑dive analyses to identify trends, patterns, and opportunities to improve performance, efficiency, and productivity.
• Establish a regular cadence of insights delivery to stakeholders and executive leadership.
• Create and maintain SOPs and documentation for data models, reporting processes, and analytical workflows.

Skills

Data analysis

Data storytelling

Cross-functional collaboration

Project management

Executive communication

Education

Bachelor’s degree in technology or a quantitative field (Analytics, Statistics, Economics, Data Science) or equivalent experience

Tools

Snowflake

SQL Server

SSIS

Power BI

Salesforce

SAP

Oracle OLFM

Python

Snowflake Intelligence / Agentic AI

Job description

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 purposeDeliver high quality work with consistency and prideCollaborate effectively and elevate those around themFocus on outcomes that drive impact and growthJob Description: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 purposeDeliver high quality work with consistency and prideCollaborate effectively and elevate those around themFocus on outcomes that drive impact and growthYou AreA data‑driven, analytically minded professional who thrives in a cross‑functional environment. You enjoy transforming complex datasets into clear insights, partnering with Sales, Marketing, Product, and Operations, and influencing business decisions through data storytelling. You’re comfortable owning models, pipelines, and dashboards end‑to‑end, and you bring a strong sense of curiosity, accuracy, and business acumen.You WillPartner with Sales Operations, Sales, Marketing, Product, IT, and external partners to understand business goals, challenges, and growth opportunities.Own the Sales Coverage Model, ensuring alignment with GTM strategy, client hierarchy management, and prioritization modeling.Lead renewals campaign data and forecasting for the Inside Sales team.Develop and maintain SQL queries (Snowflake and SQL Server), stored procedures, and data pipelines (SSIS) to support reporting and analytics.Ensure data accuracy and consistency across systems, sources, and reports.Build, optimize, and manage dashboards, KPIs, and reporting assets using multiple data sources to deliver actionable insights.Conduct deep‑dive analyses to identify trends, patterns, and opportunities to improve performance, efficiency, and productivity.Establish a regular cadence of insights delivery to stakeholders and executive leadership.Create and maintain SOPs and documentation for data models, reporting processes, and analytical workflows.You BringBachelor’s degree in technology or a quantitative field (Analytics, Statistics, Economics, Data Science, Applied Math) or equivalent experience.4–5 years of experience in data analysis and reporting.At least four years of advanced SQL experience for data extraction, transformation, and modeling.Advanced experience using Snowflake for analytics.Strong foundational knowledge of Salesforce, SAP, and Oracle OLFM.Minimum two years of experience with Microsoft Power BI.A passion for visualization, analysis, and championing data‑driven decision‑making.Strong project management and prioritization skills, with the ability to manage multiple deadlines.Experience collaborating with delivery teams across time zones.Excellent written and verbal communication skills, with the ability to influence senior leadership and secure executive buy‑in.PreferredExperience with Python.Experience with Snowflake Intelligence / Agentic AI.Experience with marketing campaign planning, execution, reporting, and optimization, including familiarity with key marketing terminology.Compensation:The base range for this position is $100,000 - $120,000 per year, with the actual pay dependent on your skills and experience as they relate to the job requirements and the location where you will be performing the job.Location:This is a U.S.-based role and we cannot consider global applications at this time. Can be either fully remote (anywhere in U.S.) or hybrid model, depending on proximity to Shelton, CT.Sponsorship:Must be legally authorized to work in the US. Employer will not sponsor position for employment visa status now or in the future (ex. H-1B).We will:• Provide the 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 employment opportunity employer. All qualified applicants will receive consideration for employment without regard for race, color, sex, religion, national origin, age, disability (mental or physical), veteran status, sexual orientation, gender identity, or any other consideration made unlawful by applicable federal, state, or local laws.All qualified applicants, including Veterans and Individuals with Disabilities, are encouraged to apply.All interested individuals must apply online. Individuals with disabilities who cannot apply via our online application should refer to the alternate application options via our Individuals with Disabilities link.