Home » 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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