RevOps Analytics Manager
Stamford, Fairfield County, Connecticut, 06925, USA
Listed on 2026-09-12
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IT/Tech
Data Analyst
About Pitney Bowes
At Pitney Bowes, we do the right thing, the right way. Our culture is built on Client, Team, Win, and Innovate.
Job DescriptionYou are a 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 are comfortable owning models, pipelines, and dashboards end‑to‑end, and you bring a strong sense of curiosity, accuracy, and business acumen.
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.
- Bachelor’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.
- 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.
- Passion for visualization, analysis, and championing data‑driven decision‑making.
- Preferred:
Experience with Python. - Preferred:
Experience with Snowflake Intelligence / Agentic AI. - Preferred:
Experience with marketing campaign planning, execution, reporting, and optimization, including familiarity with key marketing terminology.
The base range for this position is $100,000 – $120,000 per year, with actual pay dependent on skills and experience.
LocationThis is a U.S.
-based role. The position can be fully remote (anywhere in the U.S.) or hybrid, depending on proximity to Shelton, CT.
Must be legally authorized to work in the U.S. Employer will not sponsor the position for employment visa status now or in the future.
Benefits- Opportunity to grow and develop your career.
- Inclusive environment encouraging diverse perspectives and ideas.
- Challenging and unique opportunities to contribute to a transforming organization.
- Comprehensive benefits (PB Live Well).
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.
Individuals with disabilities who cannot apply via our online application should refer to our alternate application options.
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