Epsilon India Hiring Drive 2024: Epsilon India Hiring Drive 2024 for its Data Analyst 1. Epsilon India Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree in a quantitative discipline. if you are interested, please apply as soon as possible.
Company Name: Epsilon India
Role: Data Analyst 1
Location: Bengaluru
Experience: 1+ year
Qualification: Bachelor’s degree in a quantitative discipline
Batch: Any
Job Type: Full Time
Salary: 11.5 LPA (Expected)
Epsilon India Hiring Drive 2024
Job Description:
- You have experience in Data Analytics, Business Intelligence, Automation & Efficiency domain
- You excel at problem solving for Internal Business Stakeholders and our Clients
- You are eloquent communicator both in verbal and written communication
- You have experience with DS scripting languages (Python or R, or SQL)
- You are familiar with BI solutions (Tableau or Power BI or Cognos)
Requirements:
- Bachelor’s degree in a quantitative discipline (e.g., data science, statistics, economics, mathematics, computer science) or significant relevant coursework/experience
- 1+ year Professional experience or course certifications demonstrating proficiency in Python or R or SQL.
- Professional experience or course certifications demonstrating proficiency in Tableau, Power BI or other BI solutions.
- Able to draw actionable insights and recommendations leveraging BI tools such as Tableau/PowerBI.
Responsibility:
- As part of Data science team, you will get to ideate-build-deploy automation and efficiencies for business and clients, end to end.
- Work in Digital Marketing, and support clients across industries (Travel or Retail Industry)
- Work with Big Data and related platforms (PySpark, Scala, SQL)
- Work in an environment that leverages your strengths and motivate and challenge you to take on more skills
- Work directly with Business Stakeholders across different departments (Product, Client Support, Sales and more)
- Build efficiencies, automation and seamless experience for end users.
- Work directly with Business stakeholders to solve Client’s problems
- Be part of a tenured data science team and collaborate on best practices
- Manage timelines of projects and priorities
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