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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in sales forecasting processes, data reconciliation, and operational process improvement, with a strong focus on leveraging data insights to enhance sales strategies and forecasting accuracy. Proficient in managing cross-functional projects and collaborating with various stakeholders to drive performance efficiency and data quality.
Highest-signal resume keywords
Sales Forecasting ProcessData ReconciliationProject ManagementAdvanced ExcelSalesforce Proficiency
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Sales ForecastingData ReconciliationOperational Process ImprovementProject ManagementAdvanced ExcelPythonSQLIntegrated Business Planning (IBP)AI/ML ApplicationsData Analysis
Soft Skills
Analytical SkillsCommunication SkillsProblem-Solving SkillsSelf-MotivatedCollaboration
Tools & Technologies
SalesforceSAPForecasting PlatformsCRM SystemsFinancial Systems
Industry Keywords
Sales OperationsBusiness OperationsFinancial AnalysisHigh-Growth Tech EnvironmentSaaS Product Lines
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Improve forecast reliability and accuracy for enterprise products, focusing on forecasting support and actionable insights for strategic and OEM accounts
- Incorporate data insights to guide sales strategies, inform business decisions, and align with forecasting objectives
- Lead global data reconciliation across CRM, financial, and forecasting systems
- Validate data, resolve discrepancies, and ensure consistent, reliable reporting
- Ensure data hygiene in Salesforce and forecasting platforms
- Manage product updates and system configurations and conduct regular pipeline reviews
- Establish metrics for forecasting performance efficiency, pipeline health, and data quality
- Provide hands-on sales team support by managing pipeline data, troubleshooting system issues, and delivering training and tools
- Support AI/ML forecasting initiatives, process automation, and analytics improvements
- Collaborate with sales leadership, global account managers, Finance, Marketing, and IT
Requirements
What you’ll need- 8+ years of experience in Sales Operations, Business Operations, or Financial Analysis in a global high-growth tech environment
- Bachelor’s degree or equivalent experience in business or related field
- Demonstrated expertise in sales forecasting process, data reconciliation, and operational process improvement
- Strong analytical and communication skills
- Proven experience in project management, including leading cross-functional teams and ensuring timely, within-scope delivery of end-to-end forecasting projects
- Self-motivated with excellent problem-solving skills, able to work independently in a fast-paced environment
- Advanced Excel
- Proficiency in Salesforce, SAP, and Integrated Business Planning (IBP)
- Experience with Python, SQL, or other data tools is a plus
- Background in supporting software and SaaS product lines in forecasting or revenue planning is highly preferred
- Hands-on experience or strong interest in AI/ML applications for sales forecasting and analytics is highly desirable
Benefits
Comp & perks- Equity
- Benefits 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score
