Analyst, Business & Product Analysis at S&P Global

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, Risk Management, Data AnalyticsIndustries

Requirements

Total experience of 12+ years in the product owner role in the industry
5 to 7 years of experience in roles such as Data Product Owner or Data Integration Specialist in a data-centric environment is mandatory
Bachelor’s degree in computer science and engineering or a related field. Advanced degree preferred
Strong understanding of Data Products and relevant technologies; DBMS/SQL, Data models, APIs, Amazon RedShift, Apache Airflow
Experience in designing, implementing and/or maintaining data systems and transformation processes
Proficiency in query languages as well as experience in interpreting complex database structures
Strong attention to detail and clarity of requirements for technical development
Proven experience working with strategic external stakeholders
Excellent communication and collaboration skills
Ability to work effectively with cross-functional teams and senior management
Experience in structured and unstructured data storage solutions in some capacity (e.g. SQL, Postgres, AWS S3) is beneficial
Prior experience working in global teams with colleagues from a wide range of backgrounds
Ability to document and communicate clearly across technical and business audiences

Responsibilities

Define and manage the product backlog for data store, data integration and analytics initiatives of the product
Prioritize and groom backlog items, ensuring alignment with business goals and technical feasibility
Collaborate with business stakeholders to translate requirements into technical user stories with clear acceptance criteria that is aligned with the product roadmap
Support sprint planning, reviews, and retrospectives in an Agile environment
Communicate progress, risks, and dependencies to stakeholders
Collaborate with architects, software developers, and QA teams to ensure smooth delivery
Create and enhance the data model as and when required for building the data store
Setting up the data dictionaries of the product and ensuring correct data ingestion as per the data model
Own and deliver existing data feed API integrations related requirements within the product
Write and review SQL queries to validate data quality and transformations
Own release documentations and conduct product training/demo sessions
Perform product UAT and manage customer queries

Skills

Key technologies and capabilities for this role

Product OwnershipAgileBacklog ManagementUser StoriesSprint PlanningData ModelingData DictionariesStakeholder CollaborationRisk DataData Integration

Questions & Answers

Common questions about this position

What experience level is required for this Data Product Owner role?

Total experience of 12+ years in the product owner role is required, with 5 to 7 years specifically in roles such as Data Product Owner or Data Integration Specialist in a data-centric environment.

What technical skills are needed for this position?

Strong understanding of Data Products and technologies like DBMS/SQL, Data models, APIs, Amazon RedShift, and Apache Airflow is required, along with experience in designing data systems, writing SQL queries, and proficiency in Python and/or R as a plus.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this position remote or does it require office work?

This information is not specified in the job description.

What does the team and company culture look like?

The team, Know Your Third Party (KY3P), is committed to delivering essential intelligence for client decisions and building the RDX Datastore with data from various sources; the role fosters a culture of data excellence and data-driven decision-making.

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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