Chief Analytics Officer

6 days ago

Kurnool, Andhra Pradesh, India beBeeData Full time ₹ 20,11,680 - ₹ 25,11,600
Lead Data Analyst">

This is a highly skilled role where you will play a critical part in extracting, integrating and analyzing data. You will leverage traditional programming skills and emerging AI technologies to drive insights.

">
  • Data Extraction: Design, develop and optimize SQL queries for data manipulation and reporting.
  • ETL Pipelines: Build and maintain ETL pipelines for seamless data integration across systems.
  • Data Analysis: 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.
  • 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.
">Requirements & Qualifications:">
  • A minimum of 4–7 years of experience in data analysis, data engineering or related fields.
  • Strong SQL Expertise: Strong expertise in SQL (query optimization, joins, stored procedures, performance tuning).
  • Programming Skills: Hands-on experience with Python and Java for data analysis and application development.
  • ETL Tools: Proven experience with ETL tools and frameworks for data extraction and integration.
  • GenAI Exposure: Exposure to GenAI tools and LLMs for analytics and automation.
  • Prompt Engineering: Ability to apply prompt engineering for generating SQL queries, summarizing outputs and driving deeper insights.
  • Problem-Solving: Strong problem-solving skills with a focus on innovation and accuracy.
  • Communication: Excellent communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
">Nice to Have:">
  • Cloud Platforms: Experience with cloud platforms (AWS, Azure, or GCP).
  • Data Visualization: Familiarity with data visualization tools (Power BI, Tableau, or Looker).
  • Machine Learning: Understanding of machine learning concepts and their application in data analysis.

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