Pricing Analyst

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, 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