Job Description

Job Title: Data Analyst (Python & Web Scraping Expert)

Location

: Netaji Subhash Place, Pitampura, New Delhi

Department

: Data Analytics / Share Recovery

Job Overview:

We are seeking a detail-oriented and results-driven

Data Analyst

to join our team. The ideal candidate will have expertise in Python programming, web scraping, and data analysis, with a focus on

IEPF share recovery

. The role involves collecting, processing, and analyzing data from multiple online sources, providing actionable insights to support business decision-making.

Key Responsibilities:

Data Scraping

: Use Python and web scraping techniques to gather data from financial, regulatory, and shareholding-related websites for IEPF (Investor Education and Protection Fund) share recovery.

Data Cleaning & Preprocessing

: Clean, process, and structure raw data for analysis. Ensure data quality and integrity by identifying and correcting errors in datasets.

Data Analysis & Visualization

: Analyze large datasets to extract actionable insights regarding share recovery and trends in investor shareholding. Present findings through visualizations (e.g., graphs, dashboards).

Reporting

: Prepare and present detailed reports on share recovery patterns, trends, and forecasts based on analysis. Present findings to the management team to help drive business decisions.

Automation & Optimization

: Build and maintain automated web scraping systems to regularly fetch updated shareholding data, optimizing the data pipeline for efficiency.

Collaboration

: Work closely with business stakeholders to understand data requirements and deliver reports or visualizations tailored to specific needs related to IEPF share recovery.

Required Skills & Qualifications:

Technical Skills

: Strong proficiency in

Python

for data analysis and automation. Expertise in

web scraping

using libraries such as

BeautifulSoup

,

Selenium

, and

Scrapy

. Experience with

data manipulation and analysis

using

Pandas

,

NumPy

, and other relevant libraries. Familiarity with

SQL

for data extraction and querying relational databases. Knowledge of

data visualization tools

like

Matplotlib

,

Seaborn

, or

Tableau

for presenting insights in an easy-to-understand format.

Experience

: Minimum of

2-3 years

of experience as a

Data Analyst

or in a similar role, with a focus on Python programming and web scraping. Experience working with financial or investment data, particularly in areas such as

IEPF

,

share recovery

, or

investor relations

. Strong problem-solving skills with the ability to analyze complex datasets and generate actionable insights.

Additional Skills

: Strong attention to detail and ability to work with large datasets. Ability to work in a collaborative team environment. Familiarity with

cloud platforms

(e.g., AWS, Google Cloud) and

data storage

(e.g., databases, cloud data lakes) is a plus.

Education

: Bachelor's or Master's degree in

Data Science

,

Computer Science

,

Statistics

,

Finance

, or a related field.

Soft Skills

: Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders. Ability to prioritize tasks and manage multiple projects simultaneously. Strong organizational skills and time management.

Preferred Skills:

Experience working in the

financial industry

or understanding of regulatory frameworks (e.g., IEPF regulations and procedures). Familiarity with

machine learning

models and

predictive analytics

for forecasting share recovery trends. Ability to

automate workflows

and optimize existing data collection pipelines.

Job Requirements:

Comfortable working in a

fast-paced

environment. Ability to

think critically

and provide insights that drive strategic decisions. Must be self-motivated and capable of working independently with minimal supervision. Willingness to stay updated with the latest data analysis techniques and web scraping technologies.
Job Type: Full-time

Pay: ?20,000.00 - ?32,000.00 per month

Schedule:

Day shift
Education:

Bachelor's (Preferred)
Experience:

total work: 1 year (Required)
Work Location: In person