Sustainability Analyst

Iconma Portal•San Francisco, CA

2d•Hybrid

About The Position

The Sustainability Analyst will support the Client Sustainability team’s greenhouse gas (GHG) accounting, emissions analytics, sustainability reporting and compliance programs, and related data management. The role involves mostly independent, hands-on analysis of activity data using spreadsheets and, where applicable, SQL/Python and Net Zero Cloud. The analyst will clean and quality-check data, calculate Scope 1, 2, and 3 emissions, and document and refine methodologies and processes. Scope 3 work includes spend data and hybrid methodologies, upstream leased assets, use of sold products, franchises, and investments. The analyst will coordinate with data owners and stakeholders to request data, meet submission deadlines, and track reviews and sign-offs. They will also support third-party assurance and CDP disclosure by responding to reviewer questions and fulfilling data and documentation requests. The role includes researching sustainability standards and emissions methodologies, providing data and insights to business partners, and performing ad hoc sustainability analysis and reporting. The position is based with a small accounting team in San Francisco, with approximately three to four people.

Requirements

Experience delivering a GHG inventory through assurance, including Scope 3 accounting; multiple years of experience preferred.
Demonstrated experience preparing data, process narratives, and documentation for third-party audit and assurance.
Working knowledge of Greenhouse Gas Protocol accounting methodologies and category-specific calculation approaches, including spend-based, activity-based, hybrid, average-data, and supplier-specific methods.
High proficiency with complex spreadsheet calculations, including pivot tables, lookups, and array formulas.
Experience with data analysis and quality control across large activity datasets.
Experience in GHG or ESG reporting and corporate sustainability; generic data analysis experience alone is not sufficient.
Strong written and verbal communication skills.
Strong organizational, project management, and task management skills, including the ability to manage multiple priorities in a fast-paced environment.
Ability to problem-solve and work comfortably with a third party or professional services organization.
Positive, team-oriented, hands-on, flexible, and teachable approach.
Careful attention to detail and ability to document processes.

Nice To Haves

Experience with Claude Code or similar AI coding agents for workflow automation and data analysis.
Familiarity with SQL and Python for data querying, analysis, or automated workflow scripting.
Experience applying advanced analytics.
Experience with large unstructured datasets.
Experience with Tableau or other data visualization tools.

Responsibilities

Analyze company activity data and calculate GHG emissions across Scopes 1, 2, and 3.
Perform Scope 3 calculations, including spend data and hybrid methodology, upstream leased assets, use of sold products, franchises, and investments.
Clean activity data and perform quality assurance and quality control across large datasets.
Support GHG inventory assurance and CDP disclosure by responding to data and documentation requests from third-party reviewers.
Document and refine process narratives, calculation methodologies, and inventory management practices.
Support QA/QC and reporting in Net Zero Cloud.
Manage data collection and coordinate with stakeholders for assigned categories, ensuring timely submissions.
Track stakeholder reviews and sign-offs and follow up to obtain required data.
Ensure emissions reporting is accurate and consistent.
Deliver data and insights to business partners, using data visualization tools such as Tableau where applicable.
Research evolving sustainability trends, standards, frameworks, and emissions calculation and modeling methodologies.
Perform ad hoc sustainability data analysis and reporting.
Identify opportunities to automate and streamline workflows and data processes.