Join Our Team as a Data Analyst

Morningstar Sustainalytics is seeking a Data Analyst to join our multi-disciplinary Data Services Team in Timişoara, Romania. As a Data Analyst, you will play a crucial role in supporting the team’s mandate, from initial set-up to preparing client-ready data deliverables. This position offers an exciting opportunity to work in a dynamic environment where you can grow and contribute to the development of responsible investment strategies.

Key Responsibilities

  • Advise on Technical Feasibility: Evaluate the technical feasibility of new one-off or recurring deliverable requests and create samples in accordance with Data Services’ procedures.
  • Automated Data Deliveries: Set up automated data deliveries (data feed and API) via our digital platform and support non-automated data deliveries as needed.
  • Quality Control: Perform end-of-gate quality control on data through change detection and validation.
  • Client Support: Provide technical and data integration support for Sustainalytics’ clients, collaborating closely with client advisors and the sales team.
  • Process Optimization: Identify opportunities for process optimization and quality assurance enhancement.
  • Internal Projects: Contribute to or lead internal projects and change management activities related to data deliveries.

Business Requirements

  • Educational Background: Bachelor’s or Master’s degree in statistics, informatics, economics, mathematics, or a related field.
  • Experience: At least 3 years of relevant work experience in handling data, building reports, and data consultancy.
  • Skills: Strong Microsoft Excel skills, excellent communication skills, and the ability to manage customer expectations.
  • Language Proficiency: Strong written and spoken English at level C1+.

Nice to Have

  • Technical Skills: Knowledge or experience with SQL, Python, and APIs.
  • Industry Knowledge: Understanding of the financial industry and trading is considered an asset.
  • Competencies: Project Management, Business Analysis, or Data Management skills are a plus.

Benefits

  • Hybrid Work Environment: Enjoy the flexibility of working remotely while collaborating in-person each week.
  • Global Collaboration: Access tools and resources to engage meaningfully with global colleagues.

If you are a curious mind with a passion for data and a desire to challenge the status quo, we invite you to apply and become part of our team. Join us in making a difference in the world of responsible investment strategies.

Benefits
Extracted with AI

  • Hybrid work environment
  • Flexible work arrangements
  • Global collaboration tools

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