Data Science Expert

5 hours ago

Kottayam, Kerala, India beBeeDataScience Full time ₹ 15,00,000 - ₹ 20,00,000

Job Overview

The Senior Data Analytics Specialist plays a pivotal role in delivering cutting-edge analytics solutions across various regions. This position focuses on bespoke report building, dashboard development, and advanced data analysis using technologies such as Power BI, Microsoft Fabric, Snowflake, Azure, AWS, Python, SQL, and R.


  • Key Responsibilities
  • Create interactive dashboards and reports using Power BI and Microsoft Fabric.
  • Perform advanced data analysis and visualisation to support business decision-making.
  • Develop and maintain data pipelines and queries using SQL and Python.
  • Apply data science techniques such as predictive modelling, classification, clustering, and regression to solve business problems and uncover actionable insights.
  • Perform feature engineering and data preprocessing to prepare datasets for machine learning workflows.
  • Build, validate, and tune machine learning models using tools such as scikit-learn, TensorFlow, or similar frameworks.
  • Deploy models into production environments and monitor their performance over time, ensuring they deliver consistent value.
  • Collaborate with stakeholders to translate business questions into data science problems and communicate findings in a clear, actionable manner.
  • Use statistical techniques and hypothesis testing to validate assumptions and support decision-making.
  • Document data science workflows and maintain reproducibility of experiments and models.
  • Support the Analytics Team in delivering analytics projects and mentoring junior analysts.

  • Required Skills and Qualifications
  • Strong technical expertise in Power BI, Microsoft Fabric, Snowflake, SQL, Python, and R.
  • Experience with Azure Data Factory, Databricks, Synapse Analytics, and AWS Glue.
  • Hands-on experience in building and deploying machine learning models.
  • Ability to translate complex data into actionable insights.
  • Excellent problem-solving and communication skills.

  • Benefits
  • Drive adoption of modern analytics tools and practices.
  • Build strong relationships across business units and with external clients.

  • Dimensions
  • Non-Financial:
    • Contributes to revenue growth through data-driven client solutions.

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