Data Analyst (4-7 Years)

Job Responsibilities

• Build and maintain data pipelines for data acquisition, cleaning, and augmentation.
• Develop and implement data visualization tools to track model performance and key business metrics.
• Analyze large-scale datasets to extract insights and provide recommendations for model improvements.
• Work with stakeholders to understand business requirements and translate them into data-driven solutions.
• Support the model evaluation process by generating reports and dashboards.
• Assist in data preparation and exploration to improve the quality of training datasets.

Required Qualifications, Capabilities, And Skills

• Bachelor’s or Master’s degree in Data Science, Statistics, or a related field.
• 3+ years of experience in data analysis, reporting, and visualization.
• Proficiency in Python or R, with experience using pandas, NumPy, and other data manipulation libraries.
• Strong understanding of statistical concepts and experience with ML libraries such as scikit-learn and statsmodels.
• Experience with SQL for data extraction and manipulation.
• Familiarity with business intelligence tools (e.g., Tableau, Power BI).
• Strong problem-solving and analytical skills.
• Ability to communicate technical insights effectively to non-technical stakeholders.

Preferred Qualifications

• Experience with cloud platforms such as AWS, GCP, or Azure
• Knowledge of data engineering concepts and ETL pipelines.

Note

• Marked in Bold are must-have skills.
• Anything more than a 60% match can be considered.
• Preferred qualifications are just good to have. Will be a great value add.