
Senior Business Intelligence Developer
2 days ago
Job Title: Data Analyst
Experience: 4–7 Years
Location: [Remote]
Employment Type: Full-Time
Job OverviewWe are seeking a highly skilled data analyst to play a critical role in data extraction, integration, and advanced analysis. The ideal candidate will leverage expertise in SQL, Python, and Java, along with exposure to Generative AI (GenAI) tools and techniques.
Key Responsibilities- Data Extraction and Analysis: Design, develop, and optimize SQL queries for data extraction, manipulation, and reporting.
- ETL Pipelines: Build and maintain ETL pipelines for seamless data integration across systems.
- Programming Expertise: Apply programming expertise in Python and Java for data analysis, automation, and solution development.
- GenAI Tools: Utilize GenAI tools and LLMs (Large Language Models) for advanced data-driven insights.
- Prompt Engineering: Develop and refine prompt engineering techniques to generate accurate SQL queries, summarize findings, and enhance analytical workflows.
- Insight Generation: Translate complex data into clear, actionable insights for business stakeholders.
- Collaboration: 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.
- Experience with cloud platforms (AWS, Azure, or GCP).
- Familiarity with data visualization tools (Power BI, Tableau, or Looker).
- Understanding of machine learning concepts and their application in data analysis.
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