Data Analyst

Role: Data Analyst / BI & ML Developer

Location- Bangalore & New Delhi

Work Mode- Hybrid

Experience- 2+ Years

About the Role

Data Analyst

dashboarding, and predictive modeling to deliver actionable insights for business decision-making.

Key Responsibilities

• Understand

  business requirements and translate them into data models, dashboards, and predictive insights.

• Perform data analysis, profiling, and validation to ensure accuracy and consistency of data.

• Develop and maintain interactive dashboards and reports using Qlik Sense, Qlik NPrinting, and Power BI.

• Automate reporting processes and ensure scalability of BI solutions.
• Design and implement machine learning models and AI solutions using Python for forecasting, classification, clustering, and recommendation use cases.
• Optimize data pipelines and integrate multiple data sources for seamless analytics.
• Collaborate with cross-functional teams (Business, IT, Data Engineering) to deliver end-to-end analytics solutions.
• Stay updated with emerging trends in BI, AI/ML, and data visualization.

Required Skills

• Data Understanding & Analysis: Strong analytical thinking, ability to work with structured/unstructured data.
• BI Tools: Hands-on experience in Qlik Sense, Qlik NPrinting, and Power BI.
• Python (ML/AI): Proficiency in libraries such as Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, Matplotlib/Seaborn.
• Data Modeling & Visualization: Strong knowledge of data storytelling and dashboard design principles.
• SQL: Good understanding of querying and optimizing relational databases.
• Problem-Solving: Ability to analyze business problems and propose data-driven solutions.

Preferred Skills

• Exposure to cloud platforms (AWS, Azure, GCP) for data & ML workloads.
• Experience with version control (Git) and collaborative development.
• Knowledge of ETL processes and data pipelines.
• Familiarity with NLP, Deep Learning, or Generative AI techniques will be a plus.

Qualification

• Bachelors degree in Computer Science, Data Science, Information Technology, or a related field.
• 2+ years of relevant experience in Data Analytics, BI, and ML/AI