S&P Global is Looking for Data Analyst
Full time On site @S&P Global posted 4 months ago in DATA ANALYST Shortlist Email JobJob Detail
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Job ID 6773
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Job Categories DATA ANALYST
Job Description
About the job
About The Role
Grade Level (for internal use):
07
The Team: The Private Markets Data Operations Team provides exceptional insights and analytics that empower clients in the private markets landscape. The purpose of this team is to generate unique market-leading data, ensuring accuracy, completeness, and timeliness. By leveraging innovative data collection and analytical techniques, we enhance transparency and deliver actionable insights that inform strategic decision-making. Our culture of innovation prioritizes Lean methodologies and automation to streamline processes and improve data integrity. Through strong stakeholder relationships and a deep understanding of market dynamics, we position ourselves as trusted partners, equipping clients with the intelligence needed to navigate opportunities and risks in a competitive environment.
Responsibilities & Impact
In this role, you will play a vital part in supporting the data team’s objectives by focusing on the collection, analysis, and maintenance of datasets. Your contributions will directly impact the accuracy, completeness, and timeliness of the data we provide. You will collaborate with team members to execute data quality initiatives and assist in the execution of ad-hoc projects aimed at enhancing our data offerings. This role offers an opportunity to develop your analytical skills while working with motivated individuals, contributing to the team’s goals by generating actionable insights that inform decision-making and support operational excellence. Your work will help ensure that our datasets meet the highest standards, driving value for our clients and stakeholders.
Responsibilities
- Gather and verify extensive data on market participants, utilizing publically available sources including but not limited to websites, news articles, and various public registries & filings to provide accurate insights and ensure thorough data coverage.
- Conduct data cleansing to ensure accuracy and consistency in datasets by regularly reviewing and refining them.
- Perform routine reporting and basic trend analysis to generate reports that highlight trends for actionable insights.
- Automate data collection and reporting tasks using SQL and Lean methodologies to streamline processes and enhance efficiency.
- Utilize GenAI tools for exploratory data analysis to extract deeper insights from datasets for informed decision-making.
- Maintain thorough documentation of data collection processes to ensure compliance and facilitate future reference.
- Deliver individual and team targets by achieving predefined goals with a focus on quality and accuracy.
- Provide input for new data collection methods and product enhancements to improve strategies based on market needs.
- Troubleshoot data-related issues and support team members by addressing discrepancies and fostering collaboration.
- Support workflow and process improvements by participating in initiatives aimed at refining team performance.
Preferred Qualification/What We Are Looking For
- Master’s degree in finance, economics, data science, or related fields.
- Strong analytical mindset with attention to detail and quantitative skills.
- Basic knowledge of SQL and Excel; familiarity with BI tools is a plus.
- Understanding of compliance in data collection and reporting.
- Exposure to Lean principles or automation tools is desirable.
- Willingness to learn and adapt to modern technologies, including GenAI.
- Excellent communication, time-management, and multi-tasking skills.
- Proficient in secondary research and online thematic research.
- Certification and experience in MS Office (Excel, Word, PowerPoint).
- Initiative and resourcefulness in problem-solving.
- Adaptable to flexible shifts and team environments.
- Basic project management skills for ad-hoc projects.
- Interest in market trends and ability to analyze market dynamics.
- Strong collaboration and interpersonal skills to build team relationships.
- Proactive in enhancing technical skills relevant to data analysis.
