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Senior Business Analyst - Data Engineering @ S&P Global Market

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 Senior Business Analyst - Data Engineering

Job Description

About the Role:

Grade Level (for internal use):

10

S&P Global - Mobility

TheRole: Senior Business Analyst - Data Engineering

The Team: We are seeking a Senior Business Analyst in the Data Engineering Team, you will be responsible for bridging the gap between business needs and technical solutions. You will collaborate with stakeholders to gather requirements, analyze data workflows, and ensure the successful delivery of data-driven projects.

The Impact: In this role, you will have the opportunity to work in an Agile team, ensuring we meet our customer requirements and deliver impactful quality data. Using your technical skills, you will contribute to data analysis, design and implement complex solutions, and support the business strategy.

Responsibilities:

  • Collaborate with business stakeholders to identify and document requirements for data engineering projects.
  • Analyze existing data processes and workflows to identify opportunities for improvement and optimization.
  • Work closely with data engineers and data scientists to translate business requirements into technical specifications.
  • Conduct data analysis and data validation to ensure accuracy and consistency of data outputs.
  • Develop and maintain documentation related to data processes, requirements, and project deliverables.
  • Facilitate communication between technical teams and business stakeholders to ensure alignment on project goals and timelines.
  • Participate in project planning and prioritization discussions, providing insights based on business needs.
  • Support user acceptance testing (UAT) and ensure that solutions meet business requirements before deployment.
  • Utilize Jira for project tracking, issue management, and to facilitate Agile project management practices.
  • Stay updated on industry trends and best practices in data engineering and analytics.

What Were Looking For:

  • Minimum of 6 years of experience as a Business Analyst in a data engineering environment.
  • Strong understanding of data engineering concepts, data modeling, and ETL processes.
  • Proficiency in data visualization tools (e.g., Tableau, Power BI) and SQL for data analysis.
  • Experience with Jira for project management and tracking.
  • Excellent analytical and problem-solving skills, with a keen attention to detail.
  • Strong communication and interpersonal skills, with the ability to work collaboratively in a team environment.
  • Experience with Agile methodologies and project management tools is must.

Return to Work

Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return-to-Work initiative (link to career site page when available), we are encouraging enthusiastic and talented returners to apply, and will actively support your return to the workplace.

Job Classification

Industry: Banking
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: S&P Global Market
Location(s): Noida, Gurugram

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Keyskills:   Data Engineering Power BI data modeling ETL processes Tableau SQL

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S&P Global Market

S&P Capital IQ, a business line of The McGraw-Hill Companies (NYSE:MHP), is a leading provider of multi-asset class and real time data, research and analytics to institutional investors, investment and commercial banks, investment advisors and wealth managers, corporations and universities aroun...