Schneider Electric is hiring for a fresher entry level Data Analyst / Data Scientist job

Position:

Global Data Analyst, Talent Acquisition

Company:

Schneider Electric

Location:

Bangalore (Karnataka), India

Job type:

Full-time

Job mode:

On-site

Job requisition id:

008YJ5

Years of experience:

0-2 years

Company Description

Schneider Electric is a global leader in energy management and automation, committed to providing innovative solutions that make energy safe, reliable, and efficient. With a history that spans over 180 years, Schneider Electric is at the forefront of digital transformation in energy management and automation, helping industries, homes, and businesses harness the power of technology to create a more sustainable and energy-efficient future.

Global Presence: Operates in more than 100 countries with over 130,000 employees worldwide.
Innovative Solutions: Leader in providing digital solutions for energy management and automation.
Sustainability Focus: Committed to sustainability and energy efficiency through cutting-edge technology.
Diverse Environment: Boasts a diverse and inclusive work environment that fosters innovation and collaboration.
Customer-Centric: Provides a wide range of services and solutions tailored to meet the needs of its customers, ensuring reliability and efficiency in their operations.

Schneider Electric’s mission is to empower all to make the most of their energy and resources, bridging progress and sustainability for all. The company achieves this through its extensive range of electrical products, energy management systems, and automation solutions, serving various sectors including residential, commercial, and industrial markets.

Profile Overview

As a Global Data Analyst, Talent Acquisition, you will play a pivotal role in harnessing data to drive talent strategies and decisions within Schneider Electric. This role is ideal for someone who is passionate about data science and machine learning, and who seeks to apply their skills in a dynamic, fast-paced environment focused on human resources.

Data Collection: Responsible for gathering large volumes of data from multiple sources to support talent acquisition processes.
Data Processing: Cleansing and preparing data for analysis to ensure accuracy and reliability.
Statistical Analysis: Performing statistical analyses to identify trends, patterns, and insights that can inform talent acquisition strategies.
Progress Reporting: Supporting the tracking and reporting of talent acquisition strategies and their effectiveness.
Trend Analysis: Identifying and interpreting key trends in the data to assist in making informed decisions regarding talent management.
Data-Driven Decisions: Providing actionable insights and recommendations to improve the efficiency and effectiveness of talent acquisition efforts.

This role requires a blend of technical expertise and critical thinking skills to analyze complex datasets and communicate findings effectively to stakeholders within the organization.

Qualifications

Essential Skills

Data Visualization: Proficiency in creating visual representations of data to facilitate understanding and communication of key insights.
Data Mining: Experience in extracting valuable information from large datasets to uncover hidden patterns and correlations.
Data Cleansing: Skilled in cleaning and preparing data for analysis, ensuring its accuracy and usability.
Problem-Solving: Strong analytical and problem-solving skills to identify and resolve data-related issues.
Data Modeling: Ability to build data models that can support predictive analytics and decision-making processes.
Critical Thinking: Capacity to think critically and analytically, evaluating data from multiple perspectives to draw meaningful conclusions.
Attention to Detail: Meticulous in ensuring data accuracy and quality throughout the analysis process.
Data Analysis: Expertise in analyzing large datasets to extract actionable insights and trends.
Statistical Analysis: Proficient in statistical techniques and tools for analyzing data and generating reports.
Big Data Analytics: Familiarity with big data technologies and methodologies for handling and analyzing large datasets.
Business Intelligence (BI): Experience with BI tools and platforms to support data-driven decision-making.
Data Warehouse (DWH): Understanding of data warehousing concepts and best practices for managing large-scale data storage.
SQL: Proficient in SQL for querying databases and extracting relevant data.
Database Administration: Basic knowledge of database administration for maintaining and optimizing database systems.
Communication Skills: Effective communicator with the ability to convey complex data insights in a clear and concise manner.
PowerPoint Skills: Intermediate skills in PowerPoint for creating presentations that communicate data insights and findings.
Excel Skills: Advanced proficiency in Excel for data analysis and visualization.

Preferred Skills

Machine Learning: Knowledge of machine learning techniques and their application in data analysis.
Predictive Analytics: Experience with predictive analytics for forecasting trends and outcomes.
Python: Proficiency in Python for data analysis, including libraries such as Pandas and NumPy.
Data Storytelling: Ability to translate complex data insights into compelling narratives for stakeholders.

Additional Information

Role Impact: As a Data Analyst in Talent Acquisition, you will have a significant impact on the organization’s ability to attract, retain, and develop talent, ensuring that Schneider Electric remains a leader in its field.
Learning Opportunities: This role offers ample opportunities for professional growth and development, including exposure to the latest technologies in data science and machine learning.
Collaborative Environment: You will work closely with a diverse team of professionals who are passionate about data and its potential to drive positive change.
Innovation Focus: Schneider Electric values innovation and encourages employees to bring forward new ideas and solutions to improve processes and outcomes.
Work-Life Balance: The company promotes a healthy work-life balance, providing flexibility and support to its employees to achieve their personal and professional goals.
Global Exposure: This role provides the opportunity to work in a global context, collaborating with teams and stakeholders across different regions and cultures.
Career Advancement: Schneider Electric is committed to the career advancement of its employees, offering various programs and resources to support their growth and development.
Inclusive Culture: The company fosters an inclusive culture where diversity is valued and everyone is encouraged to contribute to their fullest potential.
Technological Advancement: You will have access to the latest tools and technologies in data science, allowing you to stay at the forefront of the field.

This position is a unique opportunity to leverage your data science skills in a role that combines technical expertise with a strategic focus on talent acquisition, contributing to the overall success and growth of Schneider Electric.

Please click here to apply.

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