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

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-makingnot 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