Data Quality Specialist - Sustainability/ESG

We're seeking a diligent and skilled Data Quality Specialist to join our team in the Sustainability/ESG domain. In this role, you'll be responsible for ensuring the accuracy and quality of large datasets, identifying outliers, and creating high-quality, client-facing annotations. Your expertise will drive client happiness and contribute to the success of our sustainability-focused data services.

Key Responsibilities

1. Data Quality Assurance: Review and annotate large datasets to ensure accuracy, consistency, and quality, with a focus on sustainability and ESG metrics.

2. Outlier Detection: Identify outliers and anomalies in datasets, using statistical methods and domain expertise to resolve relevance and impact.

3. Client-Facing Annotations: Build high-quality, client-facing annotations that provide context and insights into sustainability and ESG data, including outlier explanations.

4. Data Analysis: Analyse datasets to identify trends, patterns, and insights related to sustainability and ESG, and provide recommendations to clients.

5. Domain Expertise: Apply knowledge of sustainability and ESG frameworks, regulations, and industry standards to ensure data accuracy and relevance.

Requirements

1. Sustainability/ESG Experience: Validated experience in sustainability, ESG, or a related field, with knowledge of frameworks, regulations, and industry standards.

2. Data Analysis: Strong analytical skills, with ability to identify trends, patterns, and outliers in large datasets.

3. Annotation Expertise: Experience with data annotation, with ability to build high-quality, client-facing annotations.

4. Attention to Detail: Strong attention to detail, with ability to maintain high accuracy in data and annotation work.

5. Communication Skills: Excellent communication skills, with willingness to work with clients and partners.

Nice to Have

1. Data Science Fundamentals: Basic understanding of data science principles and machine learning concepts.

2. Programming Skills: Familiarity with programming languages, such as Python or data analysis tools.

3. Knowledge of ESG reporting frameworks, such as GRI, SASB, or TCFD or CSRD.

What We Offer

1. Opportunity to Work in Sustainability/ESG, in a dynamic and growing field, chipping in to impactful sustainability projects.

2. Professional Growth: Continuous learning and professional development opportunities, with potential for career growth and advancement.

3. Collaborative Environment: Dynamic and encouraging team environment, with opportunities for collaboration and knowledge-sharing.

If you're a diligent and skilled data professional with a passion for sustainability and ESG, we'd love to hear from you!