Internship: Business Analyst
Hyderabad, India
1d ago
source : Wizbii


Our mission at Finance Analytics is to provide complete and accurate data for financial and business reporting and analytics.

As such, Finance Analytics designs, builds, maintains and enhances scalable systems that provide accurate data as well as actionable insights to the business.

As a Business Analyst in Finance Analytics, you will be responsible for working with terabytes of data to develop automated and self service solutions for Finance and Business Partners.

You will be responsible for building a robust set of operational, financial and business metrics and will utilize metrics to determine improvement opportunities.

Responsibilities :

Gather requirements from stakeholders to build a suite of analytical and reporting solutions using the Amazon data lake

Design and develop highly available dashboards and metrics in Quicksight

Provide wing-to-wing project lifecycle execution (project planning, execution, risk assessment and system availability)

Execute cross functional, high impact projects to improve operations performance

Perform business analysis and data queries using SQL, R etc


  • Master's Degree in a quantitative discipline such as Statistics, Mathematics, Quantitative Finance, or Operations Research
  • Experience with Tableau and R
  • Exposure to software development process
  • Analytical mindset and ability to see the big picture and influence others
  • Detail-oriented and must have an aptitude for solving unstructured problems. The role will require the ability to extract data from various sources and to design / construct / execute complex analyses to finally come up with data / reports that help solve the business problem
  • Strong oral, written and presentation skills combined with the ability to lead group discussions and explaining complex solutions
  • Ability to apply analytical, computer, statistical and quantitative problem solving skills is required
  • Ability to work effectively in a multi-task, high volume environment
  • Ability to be adaptable and flexible in responding to deadlines and workflow fluctuations
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