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Data Analyst - Topeka, United States - Moody's
Description
Experience Level:
Experienced Hire
Categories:
Engineering & Technology
Location(s):
Remote - United States, US
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.
The Predictive Analytics group transforms our data into state-of-the-art analytics to help clients make better decisions in the face of uncertainty.
They use our economic research to evaluate credit-worthiness, to monitor risks and opportunities when weighing up major investment decisions as part of their corporate strategy.
Our team is made up of intellectually curious economists, data scientists, and IT professionals who combine technical skills with a strong desire to understand clients' needs.
Role/Group:
As a
Data Analyst,
you will have the opportunity to contribute to a team responsible for generating and delivering industry leading risk metrics to a variety of products offered by Moody's Analytics.
The Data Analyst may perform a variety of different data management job functions, including data analysis, data processing, data operations, and data support.
This position involves a blend of qualitative/quantitative financial research and technical skills to source and maintain credit risk data and models.
This position is for you, if you are a quick learner, have a passion for data to identify trends, uncover patterns, solve problems and your favorite question is 'why'.
The Corporate Credit Data group is responsible for managing the critical processes that ensure the accuracy and timely delivery of vital financial data that is linked to our industry-standard credit risk measurement tools and related software applications.
This role will facilitate that process, working with the engineering, IT, support, and development teams to ensure the timely and seamless delivery of data to clients.
Responsibilities:
Support and resolve data quality and delivery issues of complex credit risk models and complex data pipeline with accuracy and in a timely manner
Fulfill data delivery and data requests for existing and prospective clients accurately and meeting deadlines
Respond to client data queries in a timely and accurate way
Engage in problem solving with Customer Success and Client Support to ensure a resolution to client queries
Support Data Engineering and Data Quality Team to monitor data delivery and data pipeline status, communicate and solve issues.
Support Research, Engineering, Quality, Product Team in data projects, including testing and specifications.
Analyze and solve data issues from external data providers, including exploration of new data sources
Identify ways to improve data inquiry and delivery processes either by automation or other means
Perform data analysis using a variety of methods including statistics and relational databases
Perform quality control on data by analyzing patterns and data discrepancies and resolve related issues
Produce reports using Business Intelligence tools that describe data characteristics and highlight trends and issues
Contribute towards documentation of the processes/projects
Qualifications:
Requires Bachelor's degree in Economics, Statistics, Finance, Accounting, Operations, Engineering or a related field.
Graduate degree and/or 1-2 years of work experience is a plus.
Superb analytical skills, persistence in problem solving, excellent in data mining and code debugging, and ability to learn quickly and independently
Strong organizational skills, attention to detail, and ability to manage multiple projects with tight deadlines
Excellent and professional written and oral communication skills
Exposure or interest in financial services space
Ability to understand and analyze basic financial statement data, fixed income data, macro-economic statistics, and credit risk measures
Ability to understand basics from credit risk model research papers and data specifications.
Efficient in SQL and Database management tools (SQL Server, PostgreSQL, etc.)
Efficient with a scripting language (Python)
Experience working with AWS (Athena, S3, Glue jobs, etc.)
Experience in a statistical package (R)
Proficiency in MS Office, especially MS Excel
Exposure to GenAI tools
Preferred:
Work experience with Product team, Engineering team and other data team roles.
Exposure to third-party BI Tools: Tableau, Qlik, AWS QuickSight
Exposure to ETL tools:
CloverETL, SSIS, Airflow, AWS Step function
Experience working with major financial data feeds
Experience in data modeling and query optimization
For US-based roles only: the anticipated hiring base salary range for this position is $86, $125,500.00, depending on factors such as experience, education, level, skills, and location.
Moody's also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.
Moody's is an equal opportunity employer.All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion, national origin, citizen status, marital status, physical or mental disability, military or veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law.
Moody's also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws.
If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.
For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.
Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement. Click here to view our Notice to New York City Applicants.
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.
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