Data Analyst

Overview

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.