Data Analyst (22227)

Job Responsibilities:

  • Provide weekly, monthly, and annual reports for supply chain, trial balance and balance sheet
  • Use Machine Learning in Python code within Power Platform to bring the cross-sell analytics, customer insights
  • Build Canvas web apps using functional and logical expression in Power Apps
  • Create custom connectors using API
  • Prepare and deliver visualizations and internal presentations that translate analytic insights into tangible, actionable solutions for business partners to implement
  • Provide special reports and analyses to support the business as necessary using Power BI
  • Support efforts to maintain accurate master data by curating the same using Power Query, SQL 
  • Identify issues, analyze available data and information, and recommend changes to management 
  • Create and maintain multiple operational reporting tools
  • Consolidate data reports and deliverables to help drive data-based strategic decision making
  • Provide analysis prior to and following any recommended changes 
  • Ensure accuracy of data through partnerships with team members
  • Work cross-functionally with teams to drive data and reporting improvements


  • Master’s in Computer Science/Applications, Information Technology/Systems and Math Sciences or Electronics/Electrical Engineering
  • Minimum 6 months experience as Data Analyst, Business Intelligence Analyst, Data Engineer, Cloud Data Engineer or related
  • Must be willing to travel/relocate to anywhere in the US

Orion is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

Life at Orion North America

Orion offers an immersive, energetic work environment where employees can innovate. We use leading-edge technologies and strategies to reinvent the way every job is done and help improve the way the world works and lives.

Work Environment

As a global digital transformation company, Orion values creating a productive, diverse work environment for employees. We are committed to maintaining a positive work environment where employees value traits that make each one of us different from one another. We all bring a diverse set of perspectives, work and life experiences, and our differences make us more valuable both internally and for our clients.

Growth Potential

We are a global company committed to innovation, you will gain experience across a variety of industries, including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, e-commerce and education. You will also have the opportunity to work with global teams during various projects as we are constantly growing.

Learning & Development

Orion offers various education opportunities, including Power BI training with our partner, Microsoft. We also have training programs across Quality Assurance, Software Engineering with languages such as .Net, Java, Python, PHP, and JavaScript, and we offer summer internships in Sales/Marketing.

Employee Benefits

Orion offers a wide range of benefits, and we are committed to a strong work-life balance. Benefits at Orion in the US include:

  • Paid Time off 
  • Family Benefits
  • Medical, Vision & Dental Insurance
  • Competitive Salaries
  • 401K Plan
  • Legal Plan – MetLaw
  • Commuter Plans; and more.

Cigna Machine-Readable Files This link leads to the machine-readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to access and analyze data more easily.

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