Data Analyst on Contract (6 months)

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Data Analyst on Contract (6 months)

Zeta Suite

Bangalore INR 3 - 10 LPA Experience : 2 - 6 YRS. Openings: 4


Role Overview 
We are looking to hire a Data Analyst on contract (6 months) who will work with various cross-functional teams such as product, marketing, engineering, sales and customer success to develop and deliver data structures, statistical models, reports and deep-dive analysis that will provide actionable recommendations for Zeta’s businesses. We are looking for a problem solver with strong analytical and problem-solving skills who has a good understanding of statistics and machine learning, and able to work on projects from conceptualization to execution.

Min. Qualification:

Who should apply for this role?
  • Bachelors or Master’s degree in a quantitative discipline - Statistics, Operations Research, Computer Science, Engineering, Economics etc
  • 3-5 years of experience working in Data Analytics or Business Analytics role
  • Experience working with large amounts of data using SQL, SAS, R or other statistical packages
  • Experience working in a Unix/Linux environment for automating processes with shell scripting
  • Experience programming in Python, Java or other programming languages
  • Experience in data dashboarding and visualization tool like Tableau, PowerBI or QuickSight
  • Experience in machine learning techniques like regression analysis, decision tree etc. a plus
Availability: Immediate (15 - 20 Days Notice Period)
Work Location: Remote - Bangalore
Apply Here:

Skills Required:

Python, SQL, Statistics, Machine Learning, Problem Solving


What is the Job like?
  • Work with a team of high performing data science professionals, and cross-functional business partners to identify business opportunities, optimize marketing campaigns, drive product road map or go to market strategy
  • Build automated data dashboards and visualizations to deliver business insights to the senior leadership team
  • Understand business problems and provide data-driven solutions for those problems
  • Develop statistical models and data-driven solutions to add lift to key performance metrics
  • Initiate and drive projects to completion with minimal guidance

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