Data Analyst in ESG Team

We are looking for you, if have:

• bachelor's or Master's degree in Business Management, Economics, Engineering, Sciences, or alike, and/or equivalent,
• working experience in cooperation with stakeholders, requirements gathering & analysis,
• ​broad experience with data querying tools (SQL, SAS/4GL),
• analytical thinking with a solid engineering background,
• strong knowledge on requirement management and refinement methods,
• ability to effectively communicate complex technical content to business/functional audiences,
• strong collaborative team player, working within and across multiple virtual teams on ESG projects,
• prioritisation and planning skills,
• high level of proactiveness and taking initiative,
• great English communication and presentation skills - verbal and written communication,
• experience in creating processes and standards; and documenting these for wide use,
• broad knowledge of data management, relation databases, data modelling,
• eager to learn more and proactively acquire knowledge relevant to ESG and sustainability topics.
   

You'll get extra points for:

• working experience in a financial institution (banking, insurance, fin-tech),
• broad knowledge of sustainability, climate or ESG domain.

English level - C1.

Your responsibilities:

• work closely with ESG stakeholders with to understand their data demands,
• define and implement process to consolidate multiple and overlapping ESG data demands,
• validate requirements for clarity and consistency across all ESG programs and to ensure efficiency and feasibility of implementation,
• be the link between the programs/initiatives and the implementation teams/domains,
• monitor and maintain the ESG Data Implementation portfolios,
• identify opportunities to measure and show impact through ESG Risk data insights,
• increase adoption of ESG data strategy for new programs and initiatives,
• help grow ESG expertise within the team.

Information about the squad:

In the Data & Reporting tribe, the ESG Product team sifts through the complexity of ESG data to identify, construct and implement data strategies, optimised processes, and standard approaches to address ESG data demands across the bank. The team has the end-to-end transformation responsibility for all ESG data activities and is the main point of contact for all ESG demands to COO.

The role naming convention in the global ING job architecture will be “Data Scientist III”.