Customer Data Analyst

Basware; Chandigarh; On-site; INR 10,00,000 - 15,00,000; Full time

Job summary

A leading tech company in Chandigarh is seeking a Customer Value Data Analyst to enhance customer satisfaction by analyzing datasets and providing actionable insights. The ideal candidate should have over 5 years of experience in data analysis, proficiency in SQL and Python, and strong analytical skills. This role offers the opportunity to work closely with cross-functional teams to optimize customer interactions and improve business outcomes.

Qualifications

• 5+ years of experience in data analysis or related roles, preferably in a customer-centric environment.
• Proficiency in SQL, Python, R, or other programming languages used for data analysis.
• Experience with data visualization tools such as Tableau, AWS QuickSight, or Power BI.
• Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights.
• Excellent communication skills with the ability to present technical information to non-technical audiences.

Responsibilities

• Collect and analyze customer data to identify patterns, trends, and correlations.
• Develop and maintain predictive models to forecast customer behavior.
• Collaborate with cross-functional teams to translate insights into actionable strategies.
• Monitor key performance indicators (KPIs) related to customer value.
• Conduct A/B tests and experiments to optimize customer experiences.

Skills

Data Analysis

SQL

Python

R

Data Visualization

Analytical Skills

Communication Skills

Education

Master of Science in Economics and Business Administration

Tools

Tableau

AWS QuickSight

Power BI

Job description

Overview

As a Customer Value Data Analyst, you will play a crucial role in driving insights from customer data to enhance customer satisfaction, loyalty, and overall value. You are responsible for analyzing large datasets, identifying trends, and providing actionable recommendations to optimize customer interactions and improve business outcomes.

Responsibilities

• Collect and Analyze customer data to identify patterns, trends, and correlations that impact customer value.
• Develop and maintain predictive models to forecast customer behavior, including churn, lifetime value, and cross-sell opportunities.
• Collaborate with cross-functional teams to translate data insights into actionable strategies and initiatives.
• Monitor key performance indicators (KPIs) related to customer value and recommend adjustments to improve outcomes.
• Conduct A/B tests and experiments to optimize customer experiences and increase engagement.
• Generate reports and presentations to communicate findings and recommendations to stakeholders at all levels.
• Stay updated on industry trends and best practices in customer analytics and data science.
• Value Success Planning Process.

Qualifications

• 5+ years of experience in data analysis or related roles, preferably in a customer-centric environment.
• Proficiency in SQL, Python, R, or other programming languages used for data analysis.
• Experience with data visualization tools such as Tableau, AWS QuickSight, or Power BI.
• Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights.
• Excellent communication skills with the ability to present technical information to non-technical audiences.
• Self-motivated and able to work independently as well as collaboratively in a team environment.
• Prior experience with machine learning techniques and predictive modeling is a plus.
• Ability to present findings clearly and concisely to different stakeholders.

Education

• Preferable Master of Science in Economics and Business Administration or related field

Competence

• Focus on Customer Value
• Taking Accountability
• Collaboration
• Embracing Innovation