Data Analyst Needed for Comprehensive Attrition Analysis
Budget: ₹1,500 – ₹12,500 INR
Description:
We're seeking a skilled data analyst to dive into our Excel dataset, focusing on data cleaning, exploratory data analysis (EDA), and delivering in-depth attrition insights. The project involves dissecting attrition trends based on various factors such as department, age-group, marital status, job roles, and more.
Key Responsibilities:
Data Cleaning: Ensure data integrity and accuracy.
Exploratory Data Analysis (EDA): Uncover patterns, trends, and relationships in the dataset.
Attrition Analysis: Provide detailed insights on attrition, segmented by department, age-group, marital status, and job roles.
Skills Needed:
Proficiency in Excel and data analysis tools.
Strong experience in data cleaning and EDA.
Ability to derive actionable insights from complex datasets.
Deliverables:
Cleaned dataset.
EDA report highlighting key findings.
Attrition analysis report with insights and recommendations.
Requirements:
Proven experience in data analysis.
Strong communication skills.
Attention to detail and ability to meet deadlines.
We're seeking a skilled data analyst to dive into our Excel dataset, focusing on data cleaning, exploratory data analysis (EDA), and delivering in-depth attrition insights. The project involves dissecting attrition trends based on various factors such as department, age-group, marital status, job roles, and more.
Key Responsibilities:
Data Cleaning: Ensure data integrity and accuracy.
Exploratory Data Analysis (EDA): Uncover patterns, trends, and relationships in the dataset.
Attrition Analysis: Provide detailed insights on attrition, segmented by department, age-group, marital status, and job roles.
Skills Needed:
Proficiency in Excel and data analysis tools.
Strong experience in data cleaning and EDA.
Ability to derive actionable insights from complex datasets.
Deliverables:
Cleaned dataset.
EDA report highlighting key findings.
Attrition analysis report with insights and recommendations.
Requirements:
Proven experience in data analysis.
Strong communication skills.
Attention to detail and ability to meet deadlines.