Senior Business Intelligence Analyst

16 hours ago

Vellore, Tamil Nadu, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Opportunity:

We are seeking a highly skilled and self-motivated Senior Data Analyst to apply advanced analytical techniques to real-world problems.

The ideal candidate will possess deep technical expertise, business acumen, and the ability to work independently and collaboratively in a fast-paced environment.

Key Responsibilities:

  • Act as a data expert for data handling, extraction, manipulation; creating structured form of data and pulling tangible insights from data
  • Use predictive modeling, statistics, trend analysis, and other data analysis techniques to explore data and answer specific research questions.
  • Design, develop, and implement end-to-end analytical solutions using structured and unstructured data.
  • Take inputs from the manager/consultant to develop statistical models and apply appropriate techniques such as exploratory analysis, regression, and association.
  • Develop executive presentations to present analytical insights derived from data analysis.
  • Flexible to work on any problem statement in the space of AI-ML (NLP, CV & Predictive Analytics & Maintenance etc.)
  • Must have a business problem understanding specifically from the domain of Automobile, Manufacturing, E-commerce, Aviation, and digital things.
  • Ability to deal well with ambiguity and act with autonomy.
  • Collaborate with the team to improve the effectiveness of computational models through the use of data and feedback from stakeholders.
  • Support the development of machine learning models with guidance from senior colleagues.
  • Support and mentor junior data science team members, as needed.

Required Skills & Qualifications:

  • 5+ years of experience as a Data Scientist or ML Engineer working on real-world AI/ML projects.
  • Strong expertise in Machine Learning, Deep Learning, NLP, and Computer Vision techniques.
  • Hands-on experience with Generative AI models and an understanding of multi-modal neural networks and Transformer architectures.
  • Proficiency in Python, R, and key ML/DL libraries.
  • Strong knowledge of SQL-based and NoSQL databases.
  • Experience with statistical tools and platforms.
  • Working experience with Big Data technologies – HDFS, Spark, Hive, Sqoop, MapReduce.
  • Good understanding of cloud platforms (AWS, Azure, or GCP) – any hands-on experience is a plus.
  • Excellent analytical, problem-solving, and communication skills.
  • Domain experience in Automotive, Manufacturing, E-commerce, Aviation, or Digital Platforms is highly desirable.
  • Ability to work both independently and within a team setting with a proactive mindset.

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