17 days ago

Data Analyst Intern

Zetheta Algorithms Private Limited

Hybrid
Intern
$0
Hybrid

Job Overview

Job TitleData Analyst Intern
Job TypeIntern
Offered Salary$0
LocationHybrid
Map of Hybrid

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Job Description

About the Company

ZeTheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools. https://www.instagram.com/zetheta.official/

About the Role

We are seeking a talented and motivated student intern for a Data Analyst role. This is an extraordinary opportunity for a self-driven, analytically minded student with a passion for extracting meaningful insights from complex datasets and contributing to data-driven decision making.

About the Internship

As a Data Analyst intern, you will work on cutting-edge projects involving data collection, processing, analysis, and visualization in financial markets. You will have the opportunity to engage in multiple mini-projects across various functional areas of the company. The internship is designed to provide practical exposure to real-world data analysis and business intelligence.

Key Responsibilities

As part of the internship, you will work through a structured set of assignments designed to enhance your understanding of data analytics methodologies and applications. Your primary responsibilities will include the following.
  • Data Collection and Processing: Gather data from various sources and databases. Clean and pre-process data to ensure quality and usability. Develop and maintain data pipelines. Implement data validation procedures and quality checks.
  • Data Analysis and Modelling: Apply statistical methods to interpret datasets. Identify patterns, trends, and correlations in complex data. Develop predictive models and conduct hypothesis testing. Create data-driven solutions for business problems.
  • Data Visualization and Reporting: Create interactive dashboards and visual reports. Develop compelling data visualizations to communicate findings. Present analytical insights to stakeholders. Automate regular reporting processes.
  • Business Intelligence: Transform raw data into actionable business insights. Support decision-making processes with data-backed recommendations. Monitor key performance indicators and metrics. Identify opportunities for process optimization.
  • Capstone Project: Complete an end-to-end data analysis project including problem definition, data collection and preparation, analysis and modelling, visualization of results, and recommendations based on findings.

What You Will Learn

  • Practical experience with data analysis tools and techniques.
  • Hands-on skills in data visualization and dashboard creation.
  • Strong analytical and problem-solving abilities.
  • Effective communication of technical findings to non-technical audiences.
  • Knowledge of AI and machine learning applications in data analytics.

Who Should Apply

  • Student or fresh graduate from any academic discipline.
  • Strong analytical and quantitative skills.
  • Basic knowledge of data analysis tools such as Excel, SQL, Python, or R.
  • Interest in working with data and deriving insights.
  • Willingness to self-learn and work in a fast-paced environment.

Internship Details

  • Duration: Self-paced. Options of 15 days, 1 month, or 2 months within a period of 4 months.
  • Type: Unpaid

Key skills/competency

  • Data Collection
  • Data Processing
  • Data Analysis
  • Statistical Methods
  • Predictive Modeling
  • Data Visualization
  • Business Intelligence
  • SQL
  • Python
  • Excel

Tags:

Data Analyst
Data Analysis
FinTech
AI
Machine Learning
Python
SQL
Excel
Data Visualization
Business Intelligence
Internship
Student
Graduate

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How to Get Hired at Zetheta Algorithms Private Limited

  • Tailor your resume: Highlight analytical skills and data tools like Excel, SQL, Python, or R.
  • Showcase projects: Include any relevant data analysis projects, capstone, or academic work.
  • Demonstrate learning ability: Emphasize your willingness to self-learn and adapt to a fast-paced environment.
  • Express interest clearly: Clearly state your passion for data and deriving insights from complex datasets.

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