Description de l'emploi

Niveau d'expérience: Experienced Hire

Catégories:

  • Engineering & Technology

Emplacement(s):

  • Tower -11, (IT/ITES) SEZ of M/s Gurugram Infospace Ltd, Vill. Dundahera, Sector-21, Gurugram, Haryana, Gurugram, Haryana, 122016, IN

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. 

As a Business System Analyst, you will be expected to leverage your expertise in Azure Synapse, Power BI, and Azure Data Factory to provide insightful analytics and data solutions. Your primary role will involve designing, implementing, and maintaining data pipelines, creating sophisticated BI reports and dashboards, and optimizing data workflows.
Key Responsibilities:
1. Data Management: Manage and optimize data pipelines using Azure Synapse and Azure Data Factory, ensuring data accuracy and availability for business operations.
2. Data Analysis: Analyze complex datasets to extract insights and support decision-making processes.
3. Reporting: Develop and maintain advanced reports, dashboards, and metrics using Power BI.
4. Collaboration: Work closely with stakeholders to understand their data needs and translate them into technical requirements.
5. Optimization: Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for secondary datasets.
6. Compliance: Ensure data handling and processing are compliant with relevant regulations and company policies.
7. Training: Train and mentor junior staff and colleagues on data analysis and visualization tools.
Required Skills and Experience:
1. A minimum of 5 years of experience in Azure Synapse, Power BI, and Azure Data Factory.
2. Strong understanding of data warehousing concepts, data schemas, and data modeling.
3. Proficiency in SQL and experience with other programming languages such as Python , Spark SQL or PySpark
4. Experience in developing and maintaining ETL processes.
5. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
6. Excellent communication skills to effectively collaborate with both technical and non-technical stakeholders.
7. Strong problem-solving skills, with the ability to troubleshoot and resolve data issues.
Education:
A Bachelor's degree in Computer Science, Information Systems, or a related field is required. A Master's degree or relevant certifications would be a plus.
This description provides a broad overview of the role. The specific responsibilities, skills, and qualifications may vary based on the organization's needs and the specific projects the Senior Analyst will be involved in.

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.

Instructions de demande

Please click on the link below to apply for this position. A new window will open and direct you to apply at our corporate careers page. We look forward to hearing from you!

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