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Lead Business Intelligence Developer

2 weeks ago

Kollam, Kerala, India beBeeDataAnalyst Full time ₹ 15,00,000 - ₹ 25,00,000
Job Title: Data Analyst

We are seeking a talented data analyst to join our team. As a key member of our analytics team, you will be responsible for collecting, organizing, and analyzing complex data sets to help drive business decisions.

The ideal candidate will have a strong background in statistics and machine learning, with experience working with large datasets and developing predictive models.

You will collaborate closely with cross-functional teams to identify areas of improvement and develop strategic plans to address them.

In this role, you will have the opportunity to work on a variety of projects, from data wrangling and visualization to model development and deployment.

You will also have access to cutting-edge tools and technologies, including cloud-based platforms and AI-powered workflows.

Key Responsibilities:
  • Develop and implement data visualizations to communicate complex insights to stakeholders.
  • Analyze large datasets to identify trends and patterns.
  • Create predictive models to forecast future outcomes.
  • Collaborate with subject matter experts to design and implement experiments.
  • Develop and maintain data pipelines to ensure high-quality data.
Qualifications:
  • Education: MS/MTech in Mathematics, Statistics, Computer Science or related field.
  • Experience: 3+ years in data analysis or related field.
  • Proficiency in Python, R, SQL, and data visualization tools (e.g., Power BI, Tableau).
  • Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
  • Familiarity with cheminformatics or bioinformatics tools is a plus.
  • Strong problem-solving skills and ability to work in a fast-paced environment.
Preferred Skills & Expertise:
  • Sound knowledge of statistical algorithms and applications.
  • Expertise in using Python for machine learning and data analysis.
  • Experience with cloud platforms (AWS, Azure, GCP).
  • Knowledge of FAIR data principles and data governance.
  • Exposure to digital lab tools like ELN, LIMS, or CDS.
  • Understanding of regulatory requirements in pharma.
  • Knowledge of Computer Vision and Gen AI approaches.
  • Excellent communication and presentation skills.