Data Analyst

Innodata Inc.; Dadri; On-site; INR 800,000 - 1,600,000; Full time

Job summary

Innodata Inc. is seeking a data analytics professional to turn raw data into actionable insights. The role emphasizes Python coding, SQL querying, and dashboard development using Tableau or Power BI to visualize results.

The candidate will clean and transform data, perform exploratory analysis, and present findings to stakeholders. Strong communication and collaboration with cross-functional teams are essential.

Qualifications

• Strong proficiency in Python for data analysis.
• Strong knowledge of SQL, including joins, subqueries, CTEs, window functions, and aggregations.
• Hands-on experience with Tableau or Power BI for dashboard development and data visualization.
• Good understanding of data cleaning, transformation, and exploratory data analysis.
• Strong analytical and problem-solving skills.
• Ability to work with large datasets and derive meaningful insights.
• Good understanding of data visualization principles.
• Strong communication and stakeholder-management skills.

Skills

Python

SQL

Data cleaning

EDA

Data visualization principles

Stakeholder management

Communication

Large datasets

Tools

Tableau

Power BI

Pandas

NumPy

Matplotlib

Seaborn

ETL concepts

AWS

Azure

GCP

Job description

• Strong proficiency in Python for data analysis.
• Strong knowledge of SQL, including joins, subqueries, CTEs, window functions, and aggregations.
• Hands-on experience with Tableau or Power BI for dashboard development and data visualization.
• Good understanding of data cleaning, transformation, and exploratory data analysis.
• Strong analytical and problem-solving skills.
• Ability to work with large datasets and derive meaningful insights.
• Good understanding of data visualization principles.
• Strong communication and stakeholder-management skills.

Good to Have:

• Experience with Pandas, NumPy, Matplotlib/Seaborn or similar Python libraries.
• Knowledge of data warehousing and ETL concepts.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Familiarity with statistical concepts and basic predictive analytics.
• Experience working with business KPIs and performance reporting.