Job Title: Data Analyst / Consultant (ERP & Data Integration)

Salary: $75,000 – $85,000 (Based on Experience)
Location: Bedford Hills, NY – Remote with occasional on-site needs
Employment Type: Full-Time

Why consider this Data Analyst opportunity?

Join a growing organization undergoing a major systems modernization effort. You’ll serve as a core resource ensuring data accuracy, consistency, and visibility across multiple enterprise systems. This role offers:

• High-impact work tied directly to executive-level initiatives
• Ownership over data quality, reporting, and system integration activities
• Exposure to modern ERP platforms and cross-functional technical teams
• A collaborative environment where autonomy and proactive problem-solving are valued

What will the Data Analyst / Consultant do?

• Audit, cleanse, and validate large data sets across multiple systems
• Maintain ongoing data synchronization between ERP, CRM, and internal platforms
• Develop and execute ETL workflows to support system integrations
• Build and monitor reports using SQL, Excel, and/or SSRS
• Troubleshoot data gaps, inconsistencies, and sync issues in partnership with technical stakeholders
• Support ongoing phases of a multi-system implementation and enhancement roadmap
• Recommend improvements to data processes, structure, and governance

What the company is looking for in a Data Analyst / Consultant:

• 3+ years of hands-on data analysis experience
• Strong proficiency in SQL, Advanced Excel, and ETL/data transformation methods
• Experience supporting ERP or CRM integrations (D365, CE, or similar platforms a plus)
• Ability to work autonomously, move quickly, and stay ahead of project needs
• Strong communication skills and comfort working with both technical and operational teams

Bonus Points:

• Experience with D365 (F&O or CE)
• Prior work supporting data migration or multi-system sync
• Familiarity with SSRS, APIs, or cross-system reporting

Benefits & Perks:

• Competitive salary aligned with experience
• Standard business hours with some flexibility
• Opportunity to influence enterprise data processes and standards
• Long runway for continued involvement in transformation and post-implementation initiatives