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Quantitative analyst Jobs in Delhi | Apply Online | Careercartz

Data Analyst

Growth Hub Consultants

Full Job Description

Quantitative analyst Jobs in Delhi

Job Overview

We are hiring a qualified candidate for a Data Analyst role in our company. You will be responsible for data mining and analysis.

You will be conducting an analysis on available data and preparing a report of the same. These reports will further help us in taking appropriate decisions and provide direction to make better business decisions. This job requires you to keep track of data to devise policies and procedures. In this role, you are expected to interpret various data sets and develop business strategies.

Outstanding technical skills are a must for this role. You will have to analyze data from various data sources and compile the findings in comprehensive reports.

If you have the potential to translate quantitative data and express it in terms of performance and future prospects, we would like to speak to you.

Responsibilities

Quantitative analyst Jobs in Delhi

  • Extract, scrutinize and sort out relevant data
  • Assess and monitor data quality with the help of initial test runs
  • Establish automated data processes and track key performance indicators (KPI)
  • Record business requirements and conduct surveys using the available data
  • Interpret data using various data analysis tools
  • Generate data graphs, visualization, and dashboards
  • Draw inferences and provide insights in the form of reports or presentations
  • Stay updated about best data science practices and techniques

Requirements

  • Bachelor’s degree in Computer Science, Statistics, Business Management or related field
  • Master’s degree in Data Science will also be considered
  • 2-3 years of experience as Data Analyst or Data Scientist or a similar role
  • Hands on experience in Data Modelling, Data Mining and Design Development
  • Outstanding knowledge of data analytics
  • Sound knowledge of programming languages such as SQL, Oracle, JavaScript etc.
  • Proficient in statistical packages like SPSS, SAS etc.
  • Strong written and verbal communication skills
  • An analytical thinker with ability to multitask
  • Excellent project management skills
  • Should be a team player

 

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