Goldman sachs & Thomson reuters are hiring experienced candidates for data analyst roles

Goldman sachs & Thomson reuters are hiring experienced candidates for data analyst roles

Goldman sachs & Thomson reuters  are hiring Experience candidates for the  Data analyst roles. The details of the job, requirements and other information given below:

Table of Contents

Goldman sachs is Hiring: Analyst - Data analytics

  • Qualification :  Any Bachelor’s Degree
  • 1-3 years of experience in data analysis, data modeling, RDBMS databases and ETL
  • Strong academic background – 4-year related engineering background with a minimum 3.0 GPA
    equivalent.
  • Experience with at least one programming language such as Java, Python etc. preferred.
  • Proficient in SQL and / or interacting with structured data
  • Understanding of in industry standard data transformation and reporting tools such as Tableau,
    Qlikview, QlikSense, Alteryx, RapidMiner etc.
  • Solid analytical/logical mindset and attention to detail
  •  Strong communication skills (clear, concise, and confident) with the ability to manage internal and
    external relationships.
  • Location: Bengaluru, Karanataka, India

Thomson reuters is Hiring: Sustainability Data Analyst

  • Qualification : Bachelor’s degree in Computer Science Engineering, or a related field.
  • Proven experience in data analysis, preferably 2+ years, with demonstrated ability to work across both quantitative and qualitative datasets. 
  • Strong proficiency in Excel, including pivot tables, formulas, and basic data visualization. 

  • Good knowledge in financial markets; experience with market intelligence research, especially sell side research is desirable

  • Demonstrated ability to work with structured datasets to identify patterns, draw insights, and support cross-cutting analysis. 

  • Solid writing skills, with experience in drafting research content, summaries, or analysis reports for mixed (technical and non-technical) audiences. 

  • Familiarity with ESG disclosure standards/frameworks (e.g., UNGPs, GRI, ISSB, UNESCO AI Ethics Recommendations). 

  • Intellectual curiosity and awareness of ESG-related news, market trends, or AI/workforce governance developments. 

  • Willingness and ability to learn new tools (e.g., Python, Power BI) to expand analytical scope.

  • Location: Bengaluru, Karnataka, Mumbai, Maharashtra, India

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