Senior Business Intelligence Developer

2 days ago

Mumbai, Maharashtra, India beBeeData Full time ₹ 15,00,000 - ₹ 20,25,000
Job Title: Senior Data Analyst

Experience: 6-9 Years

Location: Remote

Employment Type: Full-Time

We are seeking a highly skilled data analyst with expertise in SQL, Python, and Java. The ideal candidate will play a critical role in data extraction, integration, and analysis by leveraging traditional programming and emerging technologies.

Key Responsibilities:
  • Data Extraction and Analysis: Design, develop, and optimize SQL queries for seamless data integration across systems.
  • ETL Pipelines: Build and maintain ETL pipelines for data integration and reporting.
  • Programming Expertise: Apply expertise in Python and Java for data analysis, automation, and solution development.
  • GenAI Tools: Utilize GenAI tools and 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.
  • Stakeholder Communication: Translate complex data into clear, actionable insights for business stakeholders.
  • Cross-Functional Collaboration: Collaborate with cross-functional teams to identify opportunities for process improvement and data-driven decision-making.
Required Skills & Qualifications:
  • 6-9 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.
Nice to Have:
  • 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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