Data Quality Specialist

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

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

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