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About the role
Key responsibilities & impact- Validate global project and account data from a business and sales-consumption perspective, not only from a technical completeness perspective.
- Review project records to determine whether the information is accurate, current, commercially relevant, and usable by sales teams.
- Identify and correct inaccurate, outdated, duplicated, incomplete, or misleading project data across fields such as owner, developer, end user, engineer, architect, general contractor, vertical, project status, construction timing, CAPEX, location, and opportunity relevance.
- Use internal sources, paid data services, public internet research, CRM data, and sales feedback to validate, enrich, replace, or supplement project information.
- Assess whether data fields are logically consistent. For example, whether a construction start date aligns with the project status, whether the listed contractor is current or historical, whether the owner is the true decision-maker, or whether the project is still actionable for Honeywell.
- Develop practical data-quality rules that reflect how sales teams actually consume and act on project leads.
Requirements
What you’ll need- Experience in data analysis, business analysis, commercial operations, sales operations, market intelligence, master data management, CRM analytics, or a related field.
- Strong ability to validate, clean, enrich, and interpret business data from multiple sources.
- Ability to assess data quality from a business-consumption perspective, not only from a technical or system-completeness perspective.
- Experience working with large datasets, structured data, and recurring data-quality issues.
- Strong analytical skills with the ability to identify patterns, inconsistencies, gaps, duplicates, and logic errors.
- Ability to conduct research using paid data sources, internet research, company websites, public sources, CRM data, and stakeholder feedback.
- Ability to translate business requirements into data rules, routing logic, prioritization frameworks, and repeatable processes.
- Strong communication skills, including the ability to summarize findings clearly for sales teams, managers, and senior leaders.
- Strong proficiency in Microsoft Excel and PowerPoint.
- Working knowledge of CRM systems, preferably Salesforce or similar platforms.
- Ability to work cross-functionally with BI developers, data engineers, sales operations, sales managers, and commercial leaders.
- Comfort operating in ambiguity and improving processes that are still being built or scaled.
Benefits
Comp & perks- Health insurance
- Retirement plans
- Paid time off
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysisbusiness analysiscommercial operationssales operationsmarket intelligencemaster data managementCRM analyticsdata validationdata cleaningdata enrichment
Soft Skills
analytical skillscommunication skillsability to assess data qualityability to conduct researchability to translate business requirementsability to work cross-functionallycomfort operating in ambiguity