Data Analyst

ESP Engineered; Kozhikode; On-site; INR 600,000 - 800,000; Full time

Job summary

ESP Engineered in Kozhikode seeks a Data Analyst to perform in-depth data analysis and develop predictive models. The successful candidate will utilize Power BI, Python, and R to create insightful dashboards and automate data workflows. Strong SQL skills and proficiency in statistical analysis are essential. If you are detail-oriented and capable of transforming raw data into actionable business insights, this role is for you.

Qualifications

• Proficiency in Power BI, Python, and R.
• Strong SQL skills for data extraction and transformation.
• Knowledge of statistical analysis and machine learning concepts.
• Strong problem-solving and analytical skills.

Responsibilities

• Analyze large datasets to identify trends and patterns.
• Develop and maintain Power BI dashboards and reports.
• Use Python and R for data cleaning, analysis, and predictive modeling.
• Automate data processing and reporting workflows.
• Apply data science techniques such as forecasting and statistical modeling.
• Ensure data accuracy and integrity across all reports and systems.

Skills

Power BI

Python

R

SQL

Statistical analysis

Machine learning

Problem-solving

Analytical skills

Job description

We are seeking a Data Analyst with strong expertise in Power BI, Python, and R to perform in-depth data analysis, develop predictive models, and create insightful dashboards. The ideal candidate should be highly analytical, detail-oriented, and capable of transforming raw data into actionable business insights.

Key Responsibilities:

Analyze large datasets to identify trends and patterns.

Develop and maintain Power BI dashboards and reports.

Use Python and R for data cleaning, analysis, and predictive modeling.

Automate data processing and reporting workflows.

Apply data science techniques such as forecasting and statistical modeling.

Ensure data accuracy and integrity across all reports and systems.

Requirements:

Proficiency in Power BI, Python, and R.

Strong SQL skills for data extraction and transformation.

Knowledge of statistical analysis and machine learning concepts.

Strong problem-solving and analytical skills.