Data Governance Analyst
Bucharest, RO
5 zile în urmă


Sustainalytics has been a leading independent provider of Environmental, Social and Governance (ESG) research for the last 25 years.

Our insights are used by clients to make better informed investment decisions, engage with companies in relation to their business activities and drive change.

Sustainalytics is a growing organization with 700 employees and 17 offices globally. We have a flexible and supportive working culture and empower our employees to progress and develop quickly in an entrepreneurial environment.

For more information, visit

Under COVID-19 circumstances, all Sustainalytics employees are now working from home. More than ever, ESG factors are critical to building a more ethical and sustainable global economy.

Our teams need passionate colleagues to join us in delivering quality research products to our clients worldwide.

Our recruitment and selection process is continuing via phone or video meetings. New team members are onboarded and start their first day with the company from the safety of their homes.

We rely on virtual team meetings and management practices, as well as a remote buddy program, to support a smooth integration in our virtual offices.


As a Data Governance Analyst, you will work closely with many teams across our company on complex, advanced data projects, supporting implementation and oversight of enterprise data engagement and governance goals, standards, practices, processes and change management.

You will become a data expert in cross-functional, end-to-end delivery that spans multiple products.


  • Perform data profiling for each product / dataset, in order to define data flows and transformations across data chains
  • Create and maintain data lineages and data dictionaries as per data governance best practices for each product / dataset, in order to have an up to date data contract which is aligned across different platforms, departments and functions
  • Detect gaps and provide resolutions for the data flow operation process to ensure that internal processes are effective, well documented and minimize the risk of errors
  • Identify data quality issues and their root cause, as per product / dataset specifications
  • Contribute to projects and products development
  • Collaborate with other team members and internal stakeholders.
  • Data Quality : Work with business and technical SMEs to identify data quality standardsDefinition and implementation of Data Quality Controls;
  • Prioritization of Data Quality issues for remediationMakes recommendations to ensure adherence to consistent definitions, business naming standards, development of standard calculations, security requirements


  • Experience with data lineage and data management tools
  • Strong experience with SQL and data-science languages such as Python or R
  • Strong analytical and problem-solving skills coupled with thoroughness and attention to detail is desired.
  • Excellent communication skills

    Ability to work with people across multiple work-streams.

  • Ability to work towards fast moving, strict deadlines, that are set with high-quality standards
  • Flexible mindset with strong ability to adapt for constantly shifting business requirements and needs
  • Must be able to work independently and proactively to take initiative to solve problem quickly

  • Capacity to learn and independent thinking
  • Action oriented change agent mentality with a strong drive for results.

    Passion and skills in establishing Data Governance across the Enterprise

  • Understand SQL query skills for independent data analysis
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