Goldman Sachs is looking for the position of Analyst – Data Analytics in Hyderabad, India. Candidates with Bachelor’s/ 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 | Analyst – Data Analytics |
| Qualifications | Bachelor’s Degree |
| Batch | 2018/ 2019/ 2020/ 2021/ 2022/ 2023 |
| Experience | 1 – 3 (Years) |
| Location | Hyderabad, India |
Key Responsibilities:
- Execute the Data Analytics (DA) strategy developed by Internal Audit (IA) management, encompassing audit planning, creation of analytical tools, and providing innovative solutions to complex problems.
- Partner with audit teams to identify business risks, facilitate strategic data sourcing, and develop innovative solutions to increase the efficiency and effectiveness of audit testing.
- Develop production-ready analytical tools to automate repeatable and reusable processes within IA.
- Build and manage relationships and communications with Audit team members.
Eligibility Criteria:
- 1-3 years of experience with a minimum of a Bachelor’s degree in Computer Science, Math, or Statistics.
- Experience with Relational Database Management Systems (RDBMS) and SQL.
- Proficiency in programming languages such as Python and familiarity with text analytics and Natural Language Processing (NLP) using Python.
- Knowledge of basic statistics and statistical modeling.
- Experience with time series analysis, correlation, regression, and predictive modeling, and its application to data.
- Strong team player with excellent written and oral communication skills, capable of conveying relevant and important information clearly and concisely, and managing multiple tasks.
- Strong contributing member of the Data Science team, aiding in building analytical capabilities for the Internal Audit Division.
- Driven and motivated, constantly taking initiative to improve performance.
Preferred skills:
- Experience with advanced data analytics tools and techniques.
- Familiarity with machine learning algorithms and exposure to supervised and unsupervised learning, including Linear/Logistic Regression, Support Vector Machines (SVM), Random Forest, and Boosting.
- Knowledge of clustering and pattern recognition techniques.
- Experience with visualization tools such as Spotfire, QlikView, or Tableau is a plus.
- Creativity and innovation, with the ability to create new ways to improve current processes and develop practical solutions that add value to the 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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