ESG Data Analyst

  • S&P Global
  • 8005 Zürich, ZH, Switzerland
  • 19/05/2022
Full time Data Science Data Engineering Data Analytics Big Data Data Management Statistics

Job Description

The Role: S&P Global Sustainable1, the single source of essential sustainability intelligence, is seeking a Data Analyst to join our ESG Research team. The role will give direct contact with the raw sustainability data collected in the Corporate Sustainability Assessment and with the scoring methodology.

The ESG Data Analyst will be responsible for producing high quality score deliveries and will have a central role in developing new methodologies. The successful candidate will also collaborate in creating and maintaining data (imputation) models.

The Location: Zurich

The Career Opportunity:

  • A high-impact role, with responsibility for key inputs to S&P Global’s core ESG products & services.
  • Build a career with a global company.
  • Work with a diverse international team, including senior stakeholders across S&P Global.
  • As a high performing technical specialist, you will have access to S&P Global’s vast array of technical trainings, and the opportunity to develop your expertise in an expanding team with global reach.

The Team: Our team is composed of experienced professionals driven to identify the transformative solutions of tomorrow. The business has a casual and friendly atmosphere with an entrepreneurial spirit. As a team player, you will contribute to the unique culture and energy of the department as it continues to grow.

Key Responsibilities:
Calculate and distribute the proprietary ESG Scores in a professional and timely manner.

Perform ESG data analysis and clearly communicate it to internal stakeholders and to external clients, both verbally and in writing, by generating graphical data representations.

Develop innovative ESG Scoring methodologies in Microsoft Excel or Python

Work collaboratively with a diverse team across multiple locations to promote modelling best-practice and ensure quality of deliverables.

Essential Requirements:
Strong technical expertise in Microsoft Excel (and preferably VBA).

Good programming skills in Python, R (or similar)

Minimum of two years’ professional experience working with large, complex datasets to support business and investment decision-making, incl. demonstrated ability in data quality control, source documentation, and synthesis of complex technical data to develop meaningful insights for clients.

Minimum of Bachelor’s degree or equivalent in science, economics, engineering, mathematics, or similar quantitative discipline.

Minimum of A-level or equivalent in mathematics.

Excellent verbal and written communication skills, incl. confidently presenting complex information to clients & other key stakeholders in ways that they can easily understand and inform their actions.

Self-motivated, organized, detail-oriented, with a positive, “can do” attitude.

The candidate should be conscious of detail and numerically proficient, with natural curiosity and an innovative approach to problem solving.

Personable, with a demonstrated strength in planning and executing work assignments to tight deadlines, independently and as part of a diverse international team.

Fluent written and spoken English (additional languages will be looked upon favorably).

Good awareness of S&P Global’s traditional business, and a view on how to integrate ESG into future product development.

Preferred Experience:
Technical experience in one or more of the following areas is highly favorably:

Strong programming skills in Python, with extensive experience in Pandas module for data analysis and data science.

Familiarity with probability theory and statistics and experience in applying those to large datasets
Return to Work
Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return to Work initiative (link to career site page when available), we are encouraging enthusiastic and talented returners to apply, and will actively support your return to the workplace.

Grade Level : Grade 10 (for internal purposes)

Location: Zurich

S&P Global delivers essential intelligence that powers decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead. As part of our team, you’ll help solve complex challenges that equip businesses, governments and individuals with the knowledge to adapt to a changing economic landscape.

S&P Global Ratings offers critical insights for credit, risk and sustainable finance solutions that are essential to translating complexity into clarity, so market participants can uncover opportunities.

S&P Global has a Securities Disclosure and Trading Policy (“the Policy”) that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy’s requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy.

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Equal Opportunity Employer
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.

US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law.

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