Malk Partners · 1 day ago
ESG Data Analyst
Malk Partners is a consulting firm that advises investors on risk management and responsible investment. The ESG Data Analyst will support ESG data client projects by developing tailored data strategies, collecting and analyzing ESG data, and creating deliverables for clients.
Management ConsultingService IndustrySmall and Medium Businesses
Responsibilities
Execute ESG data client projects, including supporting strategy creation, data collection, validation, analysis, and reporting, typically supporting on 3-5 overlapping projects in a given week
Development of ESG data collection surveys, tailored to GP client needs, industry frameworks (e.g., EDCI, SFDR), and sectoral materiality
Coordinating with GP client’s portfolio companies to support accurate and timely data collection, leading email coordination and eventually supporting on live calls
Develop validation tools and processes to ensure data quality
Analyze data trends and compile insights into client deliverables like reports and data packs
Cultivate understanding of core ESG data frameworks (EDCI, SFDR, TCFD, etc.) and LP expectations
Support with ongoing evolution and improvements of Malk’s ESG data offerings through process efficiency improvements, training materials, internal best practice-sharing, and insight delivery
Leverage a range of internal and third-party data tools to complete client ESG data projects and be a resource to broader team on the integration of these tools
Qualification
Required
Exceptional Excel and quantitative analysis skills
Strong communication skills
Project management skills
Time management skills
Attention to detail
At least 1 year of professional experience
Preferred
Experience with relational databases
Experience with data visuals/dashboards
Familiarity with SQL
Good writing skills
Good research skills
Good qualitative reasoning skills
Previous experience in consulting roles
Experience working with private equity
Experience in ESG/Sustainability (e.g., via internships or academic projects)
Strong academic track record
Background in data science
Background in business analytics
Background in computer science
Self-starters
Multi-taskers
Critical thinkers
Ability to work across multiple different teams
Benefits
Discretionary bonus eligible