
Senior Data Insights Specialist
6 days ago
Data Analyst Job Overview
We are seeking a highly skilled data analyst with expertise in SQL, Python, and Java, along with exposure to Generative AI (GenAI) tools and techniques. The ideal candidate will play a critical role in data extraction, integration, and advanced analysis by leveraging both traditional programming and emerging AI technologies.
The successful candidate will have strong expertise in SQL, including query optimization, joins, stored procedures, and performance tuning. They will also have hands-on experience with Python and Java for data analysis and application development.
Experience with ETL tools and frameworks for data extraction and integration is essential, as well as exposure to GenAI tools and LLMs for analytics and automation.
Strong problem-solving skills with a focus on innovation and accuracy are required, along with excellent communication skills to present data insights to both technical and non-technical stakeholders.
Key Responsibilities- Design, develop, and optimize SQL queries for data extraction, manipulation, and reporting.
- Build and maintain ETL pipelines for seamless data integration across systems.
- Apply programming expertise in Python and Java for data analysis, automation, and solution development.
- Utilize GenAI tools and LLMs for advanced data-driven insights.
- Translate complex data into clear, actionable insights for business stakeholders.
- Collaborate with cross-functional teams to identify opportunities for process improvement and data-driven decision-making.
- 4–7 years of experience in data analysis, data engineering, or related fields.
- Strong expertise in SQL (query optimization, joins, stored procedures, performance tuning).
- Hands-on experience with Python and Java for data analysis and application development.
- Proven experience with ETL tools and frameworks for data extraction and integration.
- Exposure to GenAI tools and LLMs for analytics and automation.
- Ability to apply prompt engineering for generating SQL queries, summarizing outputs, and driving deeper insights.
- Strong problem-solving skills with a focus on innovation and accuracy.
- Excellent communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
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