Python Data Analyst Remote in India, India

Join Data Eminence as a remote Data Analyst and help transform raw data into meaningful insights that support informed business decisions. You'll collect, clean, analyze, and visualize data while identifying trends, patterns, and opportunities. This role is ideal for entry-level candidates with strong analytical skills, curiosity, and an interest in data-driven problem-solving. Full Description

Data Eminence is seeking a motivated Data Analyst to join our growing analytics team. In this role, you will work with structured and unstructured data to generate insights, reports, dashboards, and recommendations that support business and operational objectives.

You will collaborate with business, product, marketing, finance, and technology teams to understand analytical requirements and translate data into clear and actionable insights. This is an excellent opportunity to gain practical experience with Excel, SQL, data visualization, statistics, business intelligence platforms, and modern AI-powered analytics tools while working remotely.

Your key responsibilities will include:

Collecting, organizing, and analyzing data from multiple sources

Cleaning and preparing datasets for analysis

Writing SQL queries to retrieve and analyze data

Performing exploratory and descriptive data analysis

Identifying trends, patterns, anomalies, and business opportunities

Creating reports, dashboards, charts, and data visualizations

Working with Excel or similar spreadsheet tools for analysis

Developing dashboards using Power BI, Tableau, or similar platforms

Monitoring key performance indicators and business metrics

Supporting ad-hoc data analysis and business reporting requests

Validating data accuracy, consistency, and completeness

Investigating data discrepancies and resolving data quality issues

Preparing analytical summaries and presenting findings to stakeholders

Collaborating with business and technical teams to understand data requirements

Maintaining analytical documentation and data definitions

Supporting data-driven decision-making across different business functions

Exploring AI-powered analytics and automation tools to improve reporting and analysis

We believe in learning by doing. You'll gain hands-on experience with Excel, SQL, Python, Power BI, Tableau, statistics, data visualization, databases, data cleaning, and AI-powered analytics tools .

This is a hands-on role where analytical thinking, attention to detail, problem-solving, and the ability to communicate insights clearly are essential. You'll have opportunities to work with real-world datasets and contribute analysis that supports business strategy and operational decision-making.

Requirements

• Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related field
• 0-2 years of experience in data analysis or a relevant internship/project
• Strong analytical and problem-solving skills
• Proficiency in Microsoft Excel or similar spreadsheet tools
• Good understanding of SQL and relational databases
• Basic understanding of statistics and data analysis techniques
• Familiarity with Power BI, Tableau, or similar data visualization tools
• Basic knowledge of data cleaning and data preparation
• Familiarity with Python and libraries such as Pandas or NumPy is a plus
• Understanding of charts, dashboards, and data visualization principles
• Strong attention to detail and data accuracy
• Ability to interpret data and communicate findings clearly
• Familiarity with business metrics and KPIs is beneficial
• Experience with academic, personal, or portfolio data analysis projects is a plus
• Good written and verbal communication skills
• Ability to organize multiple analytical tasks and meet deadlines
• Ability to work independently and collaborate effectively in a remote environment

Benefits

Competitive salary

Fully remote work flexibility

Paid time off and holidays

Professional development opportunities

Company-provided equipment

Opportunities to work with modern analytics, business intelligence, automation, and AI-powered tools