Data Analyst / Data Scientist

• 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.

We are looking for an experienced Data Analyst with strong Data Science exposure 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., * 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.