We are looking for an experienced Data Analyst with strong Data Science exposure (10+ Years experience) to join our team. The ideal candidate will have hands-on experience analyzing large datasets, developing insights, building dashboards, and applying statistical and machine-learning techniques to solve business problems.

Responsibilities:

Analyze large and complex datasets to identify trends, patterns, and business insights. Develop SQL queries for data extraction, transformation, validation, and analysis. Build reports, dashboards, and visualizations using tools such as Power BI or Tableau. Perform exploratory data analysis and statistical analysis. Use Python for data manipulation, analysis, and automation. Develop or support predictive models and machine-learning solutions. Perform data cleansing, feature engineering, and data-quality validation. Collaborate with business and technical teams to translate requirements into analytical solutions. Present analytical findings and recommendations to stakeholders.

Required Skills:

Strong SQL skills. Python with Pandas, NumPy and related data-analysis libraries. Experience with Power BI, Tableau or similar BI tools. Strong knowledge of data analysis and statistical concepts. Experience working with relational databases and large datasets. Understanding of machine-learning concepts and algorithms. Experience with data preparation, cleansing and feature engineering. Strong analytical, problem-solving and communication skills.

Preferred Skills:

Scikit-learn or similar machine-learning frameworks. Cloud platforms such as AWS, Azure or Google Cloud Platform. Data warehouse technologies such as Snowflake, Redshift or BigQuery. Experience with ETL/data pipelines. Exposure to Generative AI/LLM technologies is a plus.