Pricing Analyst

Our world is transforming, and PTC is leading the way. Our software brings the physical and digital worlds together, enabling companies to improve operations, create better products, and empower people in all aspects of their business. Our people make all the difference in our success. Today, we are a global team of nearly 7,000 and our main objective is to create opportunities for our team members to explore, learn, and grow – all while seeing their ideas come to life and celebrating the differences that make us who we are and the work we do possible. Pricing Analyst – Data analysis and visualization Reports to: Manager, Pricing Data and Analytics Location: Boston, MA – hybrid 3 days a week in office Job Summary: 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 The ideal candidate thrives in an agile, fast‑paced environment and collaborates effectively across functions and takes strong ownership. They demonstrate intellectual curiosity, manages multiple priorities under pressure, and translates complex problems into clear, actionable storylines and recommendations Be an owner. Be proactive. Be accountable. Take initiative. Drive improvement. Use automation and AI to scale impact, visualize complex problems, elevate insights to influence decision‑making Main Duties: 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 Qualifications & Skillset: Previous pricing experience – analysis, visualization or deal-management/assessment. Examples include: pricing waterfalls, scatterplots, 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 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 story telling) 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, VLOOKUP’s, and knowledge of 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 anticipate d 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. A ctual compensation may vary based on a candidate's skills, qualifications, experience, and location. Additionally, candidates may be eligible for a performance-based bonus. E mployee s also ha ve the opportunity to become a PTC shareholder through our employee share purchase program (ESPP) , which allows for the purchase of discounted PTC stock . Certain roles may also be eligible for participation in our equit y programs. E mployees may be eligible for medical, dental and vision insurance, paid time off and sick leave, tuition reimbursement, 401(k) contributions and employer match, flexible spending accounts, life insurance, disability coverage and , if you are an office-assigned employee, a generous commuter subsidy. All total rewards and benefits programs are subject to applicable plan eligibility and other terms and conditions. For more information about PTC’s comprehensive benefits, please visit our Careers Page . PTC recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. At PTC, we believe in the power of diverse ideas and perspectives. As a global company that values and respects all identities, cultures, and perspectives, we strive to create an inclusive PTC for ALL through an environment where everyone feels like they belong and are empowered to bring their true, authentic selves to work. Proud to be an Equal Opportunity Employer, we welcome applicants from all backgrounds and hire without regard to race, national origin, religion, age, color, ethnicity, ancestry, marital status, sex (including pregnancy), sexual orientation, gender identity, gender expression, genetic information, disability, veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. PTC endeavors to make ptc.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact PTC's Talent Acquisition team at [email protected]. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. Life at PTC is about more than working with today’s most cutting-edge technologies to transform the physical world. It’s about showing up as you are and working alongside some of today’s most talented industry leaders to transform the world around you. If you share our passion for problem-solving through innovation, you’ll likely become just as passionate about the PTC experience as we are. Are you ready to explore your next career move with us? We respect the privacy rights of individuals and are committed to handling Personal Information responsibly and in accordance with all applicable privacy and data protection laws. Review our Privacy Policy here ."