Data Analyst, Product - Data Solutions

Gurugram, Haryana, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, Capital MarketsIndustries

Requirements

Candidates must possess a Bachelor of Science degree in a quantitative discipline such as Computer Science or Statistics, or equivalent certification. They should have 4-5 years of professional experience in Advanced Analytics, Data Science, or Machine Learning, preferably within the Finance or Reference Data sectors. Required skills include strong Python programming with data extraction and transformation libraries, proven experience in developing NLP/NLG models, familiarity with large language models (LLMs) like GPT or BERT, experience with cloud platforms such as AWS for model deployment, and proficiency in data extraction using SQL. The ability to translate business problems into data science solutions and communicate analysis results effectively to non-technical audiences is also essential. Hands-on project lifecycle experience from business analysis to productization and the ability to manage AI projects from incubation to implementation are required.

Responsibilities

The Data Analyst will automate processes and workflows using Python, manage AI and data science initiatives, and provide support in AI governance and documentation. They will derive value and insights from large datasets to inform business decisions and strategy, and collaborate with cross-functional teams to integrate NLP/LLM solutions into existing products. Responsibilities also include handling large amounts of data from multiple sources, analyzing data and results for quality and statistical relevance, establishing business and domain knowledge for data interpretation, and applying analytical rigor and statistical methods to measure data quality, product performance, and anticipate user behavior.

Skills

Python

Data Analysis

Data Science

NLP

LLM

Business Analysis

Project Management

Data Quality

Statistical Methods

S&P Global

Provides financial information and analytics services

About S&P Global

S&P Global provides financial information and analytics to a wide range of clients, including investors, corporations, and governments. The company offers services such as credit ratings, market intelligence, and indices, which help clients understand and navigate the global financial market. S&P Global's products work by utilizing advanced data analytics and research to deliver insights that assist clients in making informed decisions and managing risks. Unlike many competitors, S&P Global has a diverse range of divisions, including S&P Global Ratings and S&P Dow Jones Indices, which allows it to cater to various financial needs. The company's goal is to support clients in driving growth while also committing to corporate responsibility and positive societal impact.

New York City, New YorkHeadquarters

1917Year Founded

IPOCompany Stage

Data & Analytics, Financial ServicesIndustries

10,001+Employees

Benefits

Health Insurance

Unlimited Paid Time Off

Professional Development Budget

401(k) Company Match

Family Planning Benefits

Employee Discounts

Risks

Integration challenges with new acquisitions like ProntoNLP may cause operational issues.

Increased competition from AI-driven platforms like Brooklyn Investment Group.

Dependence on volatile credit ratings market could impact revenue stability.

Differentiation

S&P Global integrates advanced AI tools for superior financial analytics capabilities.

The company offers comprehensive ESG solutions, meeting growing sustainability demands.

S&P Global's diverse divisions provide a wide range of financial services globally.

Upsides

Acquisition of ProntoNLP boosts data analytics and sentiment scoring capabilities.

Rising demand for ESG data enhances S&P Global's market position.

Expansion into India strengthens S&P Global's research and insights offerings.

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