Pricing Analyst

Pricing Analyst – Data analysis and visualization

Reports to:

Manager, Pricing Data and Analytics

Location:

Boston, MA – hybrid 3 days a week in office

In this role, you will help shape the evolution of pricing analytics by combining deep analytical rigor with an AI‑first, automation‑driven approach. You will provide key data management, analytics, and AI‑enabled insight generation to the Pricing and Packaging team, defining and building scalable reporting and analytics capabilities that move the function beyond reporting toward decision intelligence. You will leverage automation, advanced analytics, and emerging AI tools (including agent-based workflows) to improve speed to insight, reduce manual effort, and support critical pricing and go‑to‑market decisions.

You are a confident analyst who knows the data because you built it, manage it, and continuously improve it.

• Own end‑to‑end pricing and discount analysis, translating complex data into clear insights and recommendations
• Build and apply AI‑enabled analytics and automation capabilities (e.g., intelligent alerts, agent‑based workflows, scalable analytics pipelines) to improve speed to insight and decision quality
• Lead quarterly pricing reviews by analytically identifying key trends, drivers, and quantified business impact
• Analyze data to identify trends, risks, and areas of commercial opportunity through ad‑hoc analyses and alerts, translating findings into actionable insights that inform revenue management & pricing strategy
• Build analytical models, automate reporting, and establish repeatable, metric‑based insights
• Support critical go‑to‑market pricing and price‑management processes, enabling the company’s ongoing business‑model transition while building strong partnerships across product teams and business units
• Develop and maintain dashboards that emphasize insight, storytelling, and decision‑making—not just data display
• Drive project execution and clearly communicate insights, risks, and outcomes to stakeholders
• Lead daily deal scoring and assessment process

• Previous pricing experience – analysis, visualization or deal‑management/assessment. Examples include pricing waterfalls, scatter plots, time series analysis, corridor analysis, variance and realization rates
• Experience managing data within enterprise resource planning and CRM systems, ideally Oracle and Salesforce
• Proficient with integrating multiple data sources and developing visualizations in Qlik, Power BI, Tableau, Looker or equivalent business intelligence tool
• Demonstrated experience with querying, cleaning, and data wrangling for exploratory data analysis (EDA)
• Demonstrated skills in understanding and correcting data discrepancies, identifying data anomalies, and root cause analysis
• A bachelor's degree and 4-6+ years of professional work experience
• Ability to clearly explain technical and analytical concepts, both verbally and in writing, and translate analysis into concise, business‑relevant insights and recommendations
• Excellent attention to detail, problem‑solving and communication (including storytelling) skills
• Ability to handle multiple projects simultaneously
• Attentiveness to details, accuracy, and ability to prioritize
• Experience and ability to build reproducible data manipulation software pipelines in Python, SQL or any other non‑proprietary language with advanced ETL capabilities
• Strong Excel skills including knowledge of pivot tables, VLOOKUPs, and macros preferred. Working with large amounts of data from various sources
• Strong analytical and problem‑solving skills with independent judgement to deal with ambiguity
• AI‑first mindset: curiosity and willingness to explore AI‑enabled analytics, automation, and decision‑support tools to improve efficiency, insight quality, and business outcomes

PTC carefully considers a wide variety of factors when determining compensation. The anticipated annual salary range for this position is between $63,000 - $88,000. The salary range reflects a good‑faith estimate of compensation at the time of posting. Actual compensation may vary based on a candidate's skills, qualifications, experience, and location.…