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Job Summary: We are seeking a highly skilled Data Transformation Specialist to join our Forecast Ops team within the Analytics Enablement group. As a key member of our team, you will be responsible for developing and maintaining Python and EViews scripts to clean, enrich, and transform time-series data related to economic and industry information.
Responsibilities and Impact- Design and implement automated data pipelines to ensure the efficient processing and integration of large datasets.
- Collaborate with data analysts, economists, and other stakeholders to understand data requirements and deliver accurate and timely data solutions.
- Monitor and optimize the performance of data pipelines, ensuring data integrity and quality.
- Troubleshoot and resolve data-related issues, implementing improvements to enhance data processing efficiency.
- Document processes, methodologies, and best practices for data transformation and automation.
- Basic Required Qualifications: Bachelor's degree in Computer Science, Data Science, Economics, or a related field.
- Strong Proficiency: Strong proficiency in software used for data processing and automation, preferably Python and EViews.
- Time-Series Data Expertise: Solid understanding of time-series data and related statistical techniques.
- Problem-Solving Skills: Excellent problem-solving skills and attention to detail.
- Communication Skills: Strong communication skills to effectively interact with team members and stakeholders.
Company Overview: At S&P Global, Inc., we understand the importance of accurate, deep, and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction.
Benefits- Health & Wellness: Health care coverage designed for the mind and body.
- Flexible Downtime: Generous time off helps keep you energized for your time on.
- Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
- Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.