Business Intelligence Data Insights Specialist

2 days ago


Chennai, Tamil Nadu, India beBeeDataAnalyst Full time ₹ 1,20,00,000 - ₹ 2,00,00,000

Key Responsibilities:

  • Extract, clean, transform, and process messy data from various sources to prepare it for analysis and modeling.
  • Translate complex business questions into well-defined data science problems and analytical tasks.
  • Perform rigorous exploratory data analysis (EDA) to understand data characteristics, identify patterns, trends, uncover hidden insights, potential data quality issues, and formulate hypotheses.
  • Synthesize large datasets into actionable insights using SQL, Python, DAX, PowerQuery, and statistical tools.
  • Develop and maintain data models, interactive dashboards, and reports using business intelligence tools to support real-time decision-making.
  • Ensure visualizations effectively communicate key performance indicators (KPIs), trends, and insights, enabling users to explore data and make data-driven decisions independently.
  • Apply appropriate statistical methods, data mining techniques, and machine learning algorithms to address specific business needs.
  • Manage and lead multiple data projects independently with best practices, ensuring timely delivery of high-impact analytics and ad hoc reporting.
  • Use large language models (LLMs) to gain insights and generate summaries from data by analyzing text and identifying patterns in data.
  • Iterate on data models and approaches based on performance feedback and evolving business requirements.
  • Stay up-to-date with the latest advancements in business intelligence, data science, machine learning, AI, and relevant technologies.
  • Collaborate cross-functionally with business teams and internal teams.

Required Skills and Experience:

  • At least 5 years of experience in business intelligence or advanced data analytics.
  • Bachelor's or Master's degree in data science, statistics, business analytics, or a related field.
  • Advanced proficiency in SQL, preferably in Google Big Query.
  • Hands-on experience with business intelligence tools, preferably MS Power BI.
  • Strong experience in DAX and Power Query.
  • Experience with Python for advanced analytics and large language models (LLMs).
  • Familiarity with cloud computing platforms, preferably Google Cloud.


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