Senior Data Analyst at Moody’s – London, England, United Kingdom

Dataleum; London; On-site; GBP 55,000 - 75,000; Full time

Job summary

A leading company in the financial analytics sector is seeking a Senior Data Analyst to support data-driven decision-making and advance business intelligence. The role involves leveraging statistical analyses, developing predictive models with tools like Tableau, and collaborating with various stakeholders to enhance operational efficiency. Ideal candidates will have strong programming skills, relevant educational background, and a passion for data analytics.

Qualifications

• At least four years of related experience in data analysis.
• Experience in statistical techniques and machine learning.
• Knowledge of Moody’s rating systems is a plus.

Responsibilities

• Develop predictive models and support data-driven decision-making.
• Collaborate with stakeholders for insights and best practices.
• Ensure data quality and implement process improvements.

Skills

Analytical Skills

Problem Solving

Communication

Project Management

Teamwork

Data Extraction

Interpersonal Skills

Education

Bachelor’s degree in Business Analytics or related field

Tools

SQL

R

Python

Tableau

PowerBI

Alteryx

MS Excel

Job description

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.

Skills and Competencies

• Knowledge of operational controls, business processes, and/or business analysis with strong analytical and problem-solving skills.
• Strong execution skills, and an ability to drive and achieve results, ensuring project timelines and deliverables are met.
• Demonstrated ability to work with various data types, both structured and unstructured, and proficiency in programming languages such as SQL, R, and/or Python. Experience with R functions and models in Tableau is preferred.
• Knowledge of Tableau or PowerBI, MS Excel (e.g., VBA, macros, VLookups), Word, and PowerPoint required; Jira, SQL, or Access preferred.
• Experience in extracting and transforming data from multiple sources into workflows for BI dashboards; Alteryx knowledge is a plus.
• Ability to interact comfortably with different management levels and articulate issues clearly and succinctly.
• Self-starter and team player, capable of meeting tight deadlines and managing multiple priorities.
• Outstanding interpersonal skills to resolve reporting and measurement requests effectively.
• Highly organized, detail-oriented, with excellent communication and project management skills; ability to anticipate user needs is a plus.
• Knowledge of Moody’s rating systems, analysis tools, and operational processes is a plus.

Education

• Bachelor’s degree in Business Analytics, Data Science, Statistics, Economics, Mathematics, Finance, or a similar quantitative field, with at least four years of related experience.

Responsibilities

The Senior Data Analyst is vital to advancing the MIS Business Intelligence and Process Measurement strategy. This role involves leveraging statistical analyses and machine learning techniques to support data-driven decision-making across the organization, particularly in the credit rating process. Responsibilities include:

• Developing and implementing predictive and prescriptive models using Tableau to identify patterns, forecast trends, and assess risks.
• Applying statistical and machine learning techniques such as data mining, regression, time-series analysis, and decision trees to inform decisions. Collaborating with stakeholders to provide insights and best practices.
• Maintaining data quality and executing processes to ensure accuracy, reliability, and consistency.
• Performing root cause analyses, remediation, and process improvements to strengthen controls and enhance processes.
• Improving testing standards to ensure data integrity and stable workflows, supporting reliable dashboards.
• Developing expertise in the end-to-end credit and rating processes, regulatory policies, and operational procedures.
• Staying current with BI and data science trends, applying new learnings to optimize analytical insights.
• Identifying opportunities to streamline processes and improve operational controls.
• Participating in cross-functional projects to implement improvements and address regulatory and business changes.
• Conducting root cause analyses, remediation, and process enhancements.
• Collaborating with teams across departments to implement process improvements and resolve issues.