Chief Data Insights Officer

1 week ago

Alleppey, Kerala, India beBeeDataAnalyst Full time ₹ 1,50,00,000 - ₹ 2,25,00,000
Job Title: Data Analyst

Overview:

Our organization is seeking a highly skilled and experienced data analyst to play a critical role in data extraction, integration, and advanced analysis. The ideal candidate will leverage both traditional programming and emerging AI technologies to drive business insights.

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 (Large Language Models) for advanced data-driven insights.
  • Develop and refine prompt engineering techniques to generate accurate SQL queries, summarize findings, and enhance analytical workflows.
  • 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.

Required Skills & Qualifications:

  • 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.

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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