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Analyst

Scoutit New Delhi, Delhi, India

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Job Description

"Join our team as an Analyst and unlock the power of data-driven insights to drive business growth and success."

As an Analyst at Scoutit, you will be responsible for uncovering hidden patterns and trends within large datasets, and transforming them into actionable business insights that inform strategic decision-making.

With a focus on data analysis, machine learning, and business acumen, you will play a critical role in shaping the future of our organization and driving growth through data-driven innovation.

Why you should learn this:

The demand for skilled Analysts is on the rise, with a projected 14% growth in employment opportunities over the next 5 years.

Expected Salary: The average salary range for an Analyst in the industry is between $80,000 and $120,000 per year, depending on experience and location.

How it works:

  • Step 1: Collect and process large datasets using SQL and ETL tools to identify trends and patterns.
  • Step 2: Develop and train machine learning models to predict outcomes and inform business decisions.

Core Concepts to Master

1

Descriptive Statistics

Understanding the mean, median, mode, and standard deviation to summarize and describe large datasets.

2

Predictive Modeling

Using machine learning algorithms to build models that predict future outcomes and inform business decisions.

3

Data Visualization

Using tools like Power BI and Tableau to create interactive and informative dashboards and reports.

Interview Questions (Beginner)

  • Can you explain the difference between a correlation and a causation?
  • How do you handle missing data in a dataset?
  • What are some common machine learning algorithms and when would you use them?

Job Overview

CompanyScoutit
Employment TypeFull-time
LocationNew Delhi, Delhi, India
Experience LevelFresher

Advance Questions

  • Can you walk me through your process for building a predictive model from start to finish?
  • How do you handle bias in a machine learning model?
  • Can you explain the concept of overfitting and how to avoid it?