Data Specialist

Job Description

Location(s): Tower -11, (IT/ITES) SEZ of M/s Gurugram Infospace Ltd, Vill. Dundahera, Sector-21, Gurugram, Haryana, Gurugram, Haryana, 122016, IN Line Of Business: Data Estate(DE) Job Category: Engineering Technology Experience Level: Experienced Hire At Moodys, 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. Job Summary: The Data Specialist will explore and transform an existing data remediation environment to ensure the smooth execution and automation of data validation, reporting, and analysis tasks. The ideal candidate will have strong technical skills in Excel, SQL, and Python with proficiency in using Microsoft Office tools for reporting, and familiarity with data visualization tools like Power BI or Tableau. Excellent communication and leadership skills are essential to foster a collaborative and productive team environment. Responsibilities may include leading small or large teams of Full time Employees or contractors to focus on remediating data at scale. Key Responsibilities: Team Management: Work with strategic teams of 5-10 or more data analysts and specialists, as needed for specific initiatives Provide guidance, mentorship, and support to team members to achieve individual and team goals. Data Validation and Analysis: Oversee data validation processes to ensure accuracy and completeness of data. Utilize Excel, SQL, and Python for data manipulation, analysis, and validation tasks. Implement best practices for data quality and integrity. Quality Assurance (QA): Establish and maintain QA processes to ensure the accuracy and reliability of data outputs. Conduct regular audits and reviews of data processes to identify and rectify errors. Develop and enforce data governance policies and procedures. Reporting and Presentation: Create and maintain comprehensive reports using Microsoft PowerPoint, Word, and other tools. Develop insightful data visualizations and dashboards using Power BI and Tableau. Present data findings and insights to stakeholders in a clear and concise manner. Collaboration and Communication: Collaborate with cross-functional teams to understand data needs and deliver solutions. Communicate effectively with team members, stakeholders, and clients. Facilitate team meetings and discussions to ensure alignment and progress on projects. Continuous Improvement: Identify opportunities for process improvements and implement changes to enhance efficiency. Stay updated with industry trends and advancements in data management and reporting tools. Foster a culture of continuous learning and development within the team. Qualifications: Bachelors degree in Economics, Statistics, Computer Science, Information Technology or other related fields. 3+ Years of relevant experience in similar field. Strong proficiency in Excel, SQL, and Python for data analysis and validation. Advanced skills in Microsoft PowerPoint, Word, and other reporting tools. Familiarity with Power BI and Tableau for data visualization. Experience with Databricks Excellent communication, leadership, and interpersonal skills. Strong problem-solving abilities and attention to detail. Ability to work independently and manage multiple priorities in a fast-paced environment. For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee s tenure with Moody s.