Job Description

Responsibilities: Transform raw and unstructured data into structured, actionable formats for analysis and reporting. Write, optimize, and maintain SQL queries and stored procedures to ensure efficient data retrieval and processing. Design and implement complex SQL queries, including Common Table Expressions (CTEs), window functions, recursive queries, dynamic pivoting and joins, to extract actionable insights from large datasets efficiently. Design, develop, and maintain databases and data pipelines to support analytics and reporting needs. Perform data engineering tasks, including data ingestion, cleaning, and preprocessing. Conduct exploratory data analysis (EDA) to uncover trends, patterns, and insights. Develop and implement machine learning (ML) models and natural language processing (NLP) solutions to solve business challenges. Build and monitor key performance indicators (KPIs) for dashboards and reporting tools. Create wireframes and collaborate with stakeholders to design intuitive data visualizations and dashboards. Ensure data integrity and perform quality checks to maintain high standards of accuracy and reliability. Collaborate with cross-functional teams to align data initiatives with business goals. Manage data science projects from ideation to deployment, ensuring timely delivery and measurable impact. Communicate findings and insights effectively through presentations and reports to technical and non-technical audiences/ stakeholders. Utilize statistical modelling and data mining techniques to drive decision-making and strategy. Must-Have Skills: Proficiency in SQL and Python/R for data manipulation and analysis. Experience with Machine Learning (ML) and NLP techniques. Strong understanding of EDA and statistical modelling. Hands-on experience with Google Cloud Platform (GCP) and Vertex AI. Excellent communication and presentation skills. Solid grasp of data engineering principles, including ETL processes. Good-to-Have Skills: Knowledge of data mining techniques. Knowledge of generative AI tools and frameworks for tasks such as synthetic data generation and data augmentation. Familiarity with dashboard wireframe creation tools and methods. Ability to build or derive KPIs for visualization dashboards. Expertise in Excel for advanced calculations and analysis. Background in project management, including Agile or similar methodologies. Experience in cross-functional team collaboration. Hands-on experience fine-tuning or deploying pre-trained Gen AI models (e.g., Hugging Face Transformers, OpenAI APIs).