Part-Time ESG Data & Reporting Analyst Infrastructure Equity

Swiss Life Asset Managers

Zürich

Hybrid

CHF 60,000 - 90,000

Full time

9 days ago

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Benefits offered by this job

Flexible working models
Professional development opportunities

Job summary

Swiss Life Asset Managers seeks an ESG Data & Reporting Analyst – Infrastructure Equity (50%) to support data collection, validation and reporting across Swiss-focused and international mandates. The role emphasizes ESG data handling, KPI calculations and the use of Excel and digital platforms.

The candidate should be detail-oriented, capable of working with structured datasets, and able to collaborate with ESG, investment, asset management and technical teams.

Qualifications

  • Fluent in German and English.
  • Strong data handling and analytical thinking.
  • Experience with ESG data and reporting is preferred.

Responsibilities

  • Coordinate ESG data collection across portfolio companies and ensure timely submissions.
  • Review and validate ESG data, identify inconsistencies, and maintain audit trails.
  • Maintain ESG datasets, KPI calculations and reporting files using Excel and data platforms.
  • Prepare recurring fund and portfolio-level ESG reporting (SFDR, AMAS, client reports).
  • Assist in improving ESG data platforms, templates and reporting workflows.
  • Identify opportunities to standardise and automate data processes with cross-functional teams.
  • Support ESG due diligence, portfolio monitoring, RFps and fundraising questionnaires.
  • Contribute to cross-portfolio ESG initiatives and internal materials.

Skills

German language
English language
Data analysis

Tools

Excel

Job description

Swiss Life Asset Managers seeks an ESG Data & Reporting Analyst – Infrastructure Equity (50%) to support data collection, validation and reporting across Swiss-focused and international mandates. The role emphasizes ESG data handling, KPI calculations and the use of Excel and digital platforms.

The candidate should be detail-oriented, capable of working with structured datasets, and able to collaborate with ESG, investment, asset management and technical teams.

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