Commercial Analyst, RevOps

Greif•Alsip, IL

About The Position

The Commercial Analyst supports Greif’s global commercial organization by delivering high-quality data, reporting, and insights that improve sales performance, pipeline visibility, and decision-making. This role is a critical enabler of Greif’s next-generation Revenue Operations capability—evolving from descriptive reporting to predictive, AI-enabled commercial insights. The analyst partners closely with sales leaders and the Senior Analyst to translate data into actionable recommendations that drive growth, retention, and margin improvement.

Requirements

Bachelor’s degree in Business, Analytics, Finance, or related field
1-3 years of experience in data analysis, sales operations, or business analytics
SQL, Python, or similar tools
PowerBI or data visualization tools
Strong analytical and problem-solving skills
Experience with Excel, Power BI (or similar tools), and data visualization
Familiarity with ERP and CRM systems (e.g., Salesforce) preferred
High attention to detail and data accuracy
Ability to translate data into clear insights
Strong communication skills (written and verbal, English required)
Structured, process-oriented mindset with continuous improvement focus

Nice To Haves

CRM systems (preferred)

Responsibilities

Collect, validate, and maintain sales, customer, and pipeline data from ERP, CRM, and other systems
Prepare recurring reports (weekly, monthly, quarterly) on sales performance, pipeline health, and key KPIs
Support development and maintenance of dashboards (e.g., Power BI) used by commercial teams
Analyse sales trends, forecast variances, and performance against targets
Support Monthly Operating Reviews (MORs), QBARs, and other reporting forums with data and insights
Provide analytical support for account planning, customer meetings, and business reviews
Respond to ad hoc data requests from Sales, Marketing, and Commercial Leadership
Assist in tracking key commercial initiatives (e.g., New Logo growth, product focus areas, strategic priorities)
Interpret and translate data into actionable insights for the field, with support from Senior Analyst
Identify data inconsistencies and improve data quality across systems
Support CRM adoption and data governance efforts
Document workflows and identify opportunities for automation and efficiency improvements
Support development of predictive insights (e.g., pipeline risk, customer churn indicators)
Contribute to building scalable, AI-enabled analytics capabilities within RevOps
Performs other duties as assigned.