At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

Welcome to the Data Estate business unit at Moody's Analytics, where we are pioneering the future of data management and analytics in Moody's Analytics. Our mission is to deliver precise, timely data with a commitment to innovation.

At Data Estate, we focus on enhancing Moody's digital presence and improving customer engagement through innovative data solutions. Our team is dedicated to enforcing and evolving our data quality framework, improving transparency into our data assets, and strategically growing new and existing information providers. We are committed to ensuring our data is ready for an expanding set of GenAI use cases and maintaining tight alignment with the teams we support.

We are building a resilient data platform that supports our strategic priorities and drives long-term, sustainable growth for the business.

Join us at Data Estate and be part of a dynamic team that is shaping the future of data management. We offer a collaborative environment where your contributions will have a meaningful impact on our clients and the industry. If you are passionate about data quality, governance, and innovation, we invite you to explore opportunities with us and help us deliver exceptional results.

The Role

The Data Strategist Analyst will play a pivotal role in developing and orchestrating data strategies that align with organizational goals. This individual will work across teams to assess data dependencies, mitigate risks, and identify opportunities for growth through innovative data sourcing and partnerships initiatives. The role requires a strategic thinker with a strong analytical mindset to drive data-driven decision-making and ensure the organization’s data estate is optimized for scalability and business continuity.

Key Responsibilities and Objectives

Assemble and refine the data acquisition strategy across Data Estates to align with business objectives and customer use cases.
Define and implement frameworks that unify the approach to managing the network of data sources, ensuring consistency and alignment across the organization.
Evaluate potential new data sources for quality, relevance, and alignment with business needs.
Partner with cross-functional team to collate facts to inform strategic decisions.
Perform deep-dive analyses on unstructured data, analyze and interpret large datasets for patterns and actionable insights.
Identify and recommend approaches to leverage data as a strategic asset, including conducting analyses and aligning data efforts with business objectives.
Develop collateral that effectively synthesizes findings into clear, actionable recommendations for internal teams and external clients.
Maintain and nurture relationships with key data providers while exploring opportunities for strategic investments or partnerships.

Role requirements:

2 - 4 years’ experience with preference given to quantitative background.
Undergraduate/first-level degree (e.g., Bachelor’s degree) is required.
Strong understanding of data sourcing strategies and risk management.
Familiarity with data quality standards, taxonomies, and interoperability requirements.
Familiarity with regulatory risks and compliance requirements related to data access and usage.
Ability to assess complex data dependencies and develop actionable strategies to mitigate risks.
Understanding of market trends in data acquisition, partnerships, and AI-driven solutions.
Advanced Excel skills and other tools data manipulation such as Python, SQL, R.
Familiarity with Machine Learning, GenAI models and project management.
Strong decision-making skills with a focus on long-term growth and scalability.
Excellent stakeholder management skills, with the ability to work across diverse teams and geographies.
Strong written and verbal communication skills to articulate data strategies and risk mitigation plans.
This role is ideal for a proactive and detail-oriented individual who thrives in a dynamic environment and is passionate about leveraging data to drive business success.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

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