Data Analyst

We are looking for a Data Analyst .This role focuses on data integrity, price validation, and revenue impact analysis throughout the catalog integration process. The analyst will play a key part in ensuring all items and service data transitions smoothly, sell prices remain consistent with business goals, and leadership has visibility into financial outcomes of catalog updates.

ShyftLabs is a growing data product company founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation.

Job Responsibilties:

• Catalog Data Integration
• Identify data discrepancies and flag items requiring manual review or pricing validation.
• Support code creation, restoration, and archival requests through structured data verification.
• Pricing & Revenue Analysis
• Monitor changes in sell prices, ancillary fees, and items linked to ensure compliance with central pricing strategies.
• Evaluate potential revenue impact of price adjustments or catalog updates
• Produce side-by-side comparisons of pre- and post-merge pricing to highlight variances and trends.
• Reporting & Insights
• Build and maintain recurring reports and dashboards showing catalog changes, revenue impact, and pricing variance trends.
• Develop visual summaries for leadership and operations to easily track integration progress
• Provide clear documentation and data summaries to support decision-making and crossdepartment communication.
• Collaboration & Process Improvement
• Work closely with Catalog Specialists to streamline data validation and import workflows.
• Recommend improvements to data structure, reporting tools, and analytics processes.
• Contribute to ongoing quality assurance initiatives and establish consistent data standards
  
  
  

• Bachelor’s degree in Analytics, Business, Marketing, Computer Science, or related fields.
• 2–4 years of hands-on experience in business analytics, or related roles.
• Strong proficiency in Excel and working knowledge of SQL or BI tools (e.g., Power BI, Looker).
• Excellent analytical thinking, communication, and problem-solving skills.
• Clear and professional communication skills, both verbal and written, with the ability to present complex data in a compelling and actionable way to non-technical stakeholders
  
  
  

• Experience working in multi-location retail, healthcare, or veterinary services.
• Experience with pricing analytics, revenue impact analysis, or process improvement