Goldman Sachs is looking for Data Analyst in Hyderabad, India. Candidates with a Bachelor’s or Master’s degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
Company Name | Goldman Sachs |
Position | Data Analyst |
Qualifications | Bachelor’s/ Master’s Degree |
Batch | 2018/ 2019/ 2020/ 2021/ 2022/ 2023 |
Experience | Freshers & Experienced |
Location | Hyderabad, India |
Key Responsibilities:
- Execute on DA strategy developed by IA management within the context of audit responsibilities, such as risk assessment, audit planning, creation of reusable tools and providing innovative solutions to complex problems
- Partner with audit teams to help identify risks associated with businesses and facilitate strategic data sourcing and develop innovative solutions to increase efficiency and effectiveness of audit testing
- Build production ready analytical tools to automate repeatable and reusable processes within IA
- Build and manage relationships and communications with Audit team members
Eligibility Criteria:
- Proficiency in programming languages, such as Python, Java, or C++
- Knowledge of basic statistics, including descriptive statistics, data distribution models,
- Time Series Analysis, correlation, and regression, and its application to data.
- Strong team player with excellent communication skills (written and oral). Ability to communicate what is relevant and important in a clear and concise manner and ability to handle multiple tasks.
- Strong contributing member of Data Science team and help build analytical capabilities for Internal Audit Division.
- Driven and motivated and constantly taking initiative to improve performance.
Preferred skills:
- Experience with advanced data analytics tools and techniques.
- Familiarity with text analytics and NLP using python.
- Familiarity with machine learning algorithms and exposure to supervised and unsupervised learning – Linear/Logistic Regression, SVM, Random Forest and Boosting,
- Clustering and Patterns Recognition techniques.
- Experience with analytical/ statistical programs such as SAS, SPSS, and R.
- Experience with visualization tools (Spotfire, Qlikview or Tableau) is a plus.
- Creativity/Innovation, i.e., ability to create new ways to improve current processes and develop practical solutions that add value to department.
About Company:
At Goldman Sachs, we believe progress is everyone’s business. That’s why we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, Goldman Sachs is a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices in all major financial centers around the world.
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