Data Analytics Specialist

5 days ago


Hyderabad, Telangana, India Goldman Sachs Full time
About the Role

As a key member of our Internal Audit team, you will play a critical role in helping us identify and mitigate risks across our organization. We are seeking a highly skilled Data Analytics Specialist to join our Embed Data Analytics team, where you will work closely with our audit teams to build innovative and reusable analytical tools that will help make audit testing more efficient and provide meaningful insights into our control environment.

Responsibilities
  • Develop and execute on our Data Analytics strategy, working closely with our audit teams to identify risks and opportunities for improvement.
  • Partner with our audit teams to help identify risks associated with our 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 our Internal Audit division.
  • Build and manage relationships and communications with our Audit team members.
Requirements
  • 1-3 years of experience with a minimum of Bachelor's in Computer Science, Math, or Statistics.
  • Experience with RDBMS/SQL.
  • 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 our Data Science team and help build analytical capabilities for our Internal Audit Division.
  • Driven and motivated and constantly taking initiative to improve performance.
Preferred Qualifications
  • 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, ability to create new ways to improve current processes and develop practical solutions that add value to our department.
About Goldman Sachs

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at /careers.

We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process.


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