- Esperienza
- 3+ anni
- Stipendio
- —
- Aperture
- 1
- Pubblicato
- 10 ore fa
- Modalità di lavoro
- Lavoro da casa
- Requisiti di ammissibilità
- Experienced data analysts with 3 years of relevant experience who are comfortable working remotely, collaborating across teams, and contributing to sustainability and ESG-focused analytics.
- Riprendere
- È necessario candidarsi
Descrizione del lavoro
Company Overview
ESGpedia is a Singapore-based ESG data and technology company focused on helping organizations strengthen sustainability performance through a broad suite of digital tools. Its platform supports corporates, SMEs, and financial institutions in working toward ESG goals, and it powers important regional initiatives such as the ESCAP Sustainable Business Network (ESBN) Asia-Pacific Green Deal digital platform and the Asia-Pacific Single Accesspoint for ESG Data (SAFE). ESGpedia is also licensed by GRI.
The company is built around a shared mission to accelerate the transition to a net-zero economy. The team operates on trust, respect, support, and hands-on learning, with a strong emphasis on ownership, meaningful contribution, and personal and professional growth. The role is based in Singapore and offers flexibility in how work is arranged, with remote, hybrid, or in-between working styles supported.
Role Summary
As a Data Analyst, you will support the development of sustainability reporting by preparing and assessing environmental data from businesses across different sectors. Your work will help ensure emissions data is accurate, reliable, and easy to use for credible Scope 1, Scope 2, and Scope 3 reporting. The insights you generate will contribute to building a more transparent and standardized ESG data ecosystem that supports climate accountability.
Key Responsibilities
- Design and apply data collection and validation methods that scale efficiently and support automation.
- Partner with Product and Engineering teams to understand analytical requirements and turn them into useful insights for users.
- Contribute technical knowledge in data storage design, data mining, and data cleansing.
- Create and maintain BI dashboards that present analytical findings clearly.
- Support AI-related initiatives by gathering, extracting, and analyzing data for advanced reporting and analytics work.
Requirements
- At least 3 years of experience working as a Data Analyst.
- Strong command of written and spoken communication.
- Solid capability in analysis, including data mining, evaluation, interpretation, and visualization.
- Hands-on experience working with relational databases and NoSQL databases.
- Strong attention to detail, a data-first mindset, and good problem-solving ability.
- Proficiency in SQL and Python.
- Comfort using MS Excel, PowerPoint, and Word.
What We Value
- People who take initiative and do not wait to be told what to do.
- Curious problem-solvers who are comfortable working through ambiguity.
- Strong communicators who can express ideas clearly and thoughtfully.
- Accountable performers who take ownership and deliver consistently, even under pressure.
- Professionals motivated by meaningful impact and sustainability-focused work.
Why Join ESGpedia
- Your work contributes to measurable progress for businesses, industries, and communities working toward a more sustainable future.
- You will have autonomy and responsibility, with a culture that values outcomes and trust.
- You will collaborate closely with motivated teammates across functions.
- You will be encouraged to learn quickly, take on challenges, and grow continuously.
- The company supports flexible work arrangements and focuses on accountability rather than rigid hours.
- Persistence and resilience are recognized and rewarded.
Equal Opportunity Statement
ESGpedia is an equal opportunity employer and does not discriminate in hiring, training, advancement, or any other employment practice. The company is committed to maintaining an inclusive workplace for all employees.
Notice
Only shortlisted candidates will be contacted. All applications will be handled in confidence.
By applying or submitting your resume, you acknowledge that you have read and agreed to the company’s privacy policy and consent to the collection, use, retention, and disclosure of your personal information to prospective employers for evaluation purposes. For more information, you may refer to the company website.