Data Analyst

VSoft is a global leader in IT services and business solutions, delivering innovative and cost-effective technology solutions worldwide since . We have headquarteerd in Bloom filed Hills, MI and have offices spread across six countries. We partner with Fortune companies to address complex business challenges. Our services span AI, IT staffing, cloud computing, engineering, mobility, testing, and more. Certified with CMMI Level and ISO standards, VSoft is committed to quality and security.

Beyond our work, we actively support local communities and non-profits, reflecting our core values. Join us to be part of a dynamic and impactful global company!

Please visit us at ; to know more.

• Working in analytics, research, business intelligence or IT (+ years).
• Data engineering within digital marketing/advertising, automotive preferred (+ years).
• Automating routine data tasks using various software tools.
• Creating data visualizations, dashboards, executive reports, or models.

• High proficiency in MS Excel, Alteryx or SQL for data manipulation and translation._
• Proficiency in Business Intelligence tools:
  Domo, Datorama, Tableau, or Qlikview._
• Familiarity with APIs, RSS feeds and web services._
• Proactively problem-solve and multitask while maintaining composure and attention to detail.
• Follow-through mindset to uphold a 'close the loop' culture.
• A positive approach to serving customers and providing exceptional customer service.
• Ability to demonstrate good judgment, high ethics, and project a professional image.
• Ability to work independently and as a collaborative team member with a positive 'can do' attitude.
• The drive to identify and seize opportunities for continuous improvement as business needs change.
• Excellent organization, flexibility and time management skills and the ability to work in a dynamic, deadline-driven environment.
• Exceptional interpersonal and business communication skills (written, verbal, listening).
• Proficient in Microsoft Office skills (Word, Excel, and PowerPoint).

• Bachelor's degree in Computer Science, Management Information Systems, Analytics, Mathematics, Statistics, Economics, or other quantitative discipline