Data Analyst

Job Summary:

We are looking for an experienced and detail-oriented Data Analyst (Consultant) to join our team. The ideal candidate will have strong expertise in data cleaning, processing, analysis, and visualization. The role involves working with large datasets, building automated data workflows, and delivering actionable insights to support business decisions.

Key Responsibilities:

1. Develop and maintain scalable data pipelines using Python and related libraries (pandas, NumPy, SQLAlchemy).

2. Perform Exploratory Data Analysis (EDA) and statistical analysis to identify trends, anomalies, and growth opportunities.

3. Build interactive dashboards and visualizations using Matplotlib, Seaborn, Plotly, Tableau, or Power BI.

4. Develop automated scripts and reports to streamline recurring data tasks.

5. Ensure data accuracy, integrity, and security across all stages of analysis and reporting.

6. Collaborate with cross-functional teams including product, engineering, and management to support data-driven decisions.

Required Qualifications:

1. B.E/B.Tech / MCA / MBA / Postgraduate in Computer Science, Data Science, Analytics, or related fields with( minimum 60% or First Division).

2. Certification in Data Analytics (SQL, Python, R, Power BI), Data Science / Statistical Methods / Machine Learning / AI Fundamentals,Data Visualization (Tableau, Power BI) or database technologies.

3. Minimum 3 years of experience in data cleaning, analytics, and data extraction.

Required Skills:

1. Strong expertise in Python for data manipulation and analysis.

2. Experience in data cleaning, data wrangling, and performance optimization.

3. Exposure to cloud platforms (AWS/GCP/Azure) is an added advantage.

4. Proven experience in using Python to manipulate, analyze, and visualize data.

5. Strong analytical and problem-solving skills.

6. Excellent communication and documentation abilities.

Job Type: Full-time

Benefits:

• Provident Fund

Work Location: In person