About Sustainalytics​

Sustainalytics has been a leading independent provider of Environmental, Social and Governance (ESG) research for the last 25 years. Our insights are used by clients to make better informed investment decisions, engage with companies in relation to their business activities and drive change.

Sustainalytics is a growing organization with 900 employees and 17 offices globally. We have a flexible and supportive working culture and empower our employees to progress and develop quickly in an entrepreneurial environment.

For more information, visit  www.sustainalytics.com

Position Purpose

Sustainalytics is seeking a Senior Quality Assurance Associate to support development of technical tools that drive quality assurance across ESG metric products. The Quality Assurance Specialist will be part of Sustainalytics’ Quantitative Data Team (QDT), which operates within Sustainalytics’ ESG research department. The team is responsible for collecting ESG metrics. Clients use metrics data, like carbon emissions, water, waste etc for reporting purposes.

The ideal candidate would be able to set up quality assurance checks, have an ability to retrieve and manipulate large data sets and be responsible for the quality of our data to meet customer standards. The candidate will work in close collaboration with research managers, product managers, content experts, and various technical and research teams to support our product strategy.

Key Responsibilities

Develops and implements tools to drive quality and efficiency of research;

Creates quality reports and proactively identifies improvement actions;

Supports the execution of estimation models for new product requirements and / or data gaps;

Manage ETL, data collection and translated into useable information.

Assesses work practices, processes, and tools, conducting regular scans for continuous service quality improvement;

Qualifications

3-5+ Years of experience in the areas of Data Analysis,, ETL, develop technical tools using Python, SQL , VBA etc

Bachelor’s degree in a related discipline;

High analytical skills and creative, problem-solving attitude;

Well organized with the ability to work cross-functionally with ease and manage competing interests;

Experience with DML (data manipulation language) and / or PostgreSQL

Strong skills in data visualizations and analytics tools like Power BI, Python;

Strong quantitative data analytical skills and experience with data analysis;

Proficiency in the use of quality and process improvement tools and techniques; a certification is considered an asset;

Meticulous and attentive to detail;

Adaptable and autonomous with a quality driven mindset;

Excellent communication skills, both verbal and written.

Alignment with Sustainalytics’  mission, vision and values .

Morningstar is an equal opportunity employer

I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity

Morningstar’s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We’ve found that we’re at our best when we’re purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you’ll have tools and resources to engage meaningfully with your global colleagues.