Senior Data Analyst Professional

2 weeks ago

Gandhinagar, Gujarat, India beBeeData Full time ₹ 80,00,000 - ₹ 1,20,00,000
Job Summary

We are seeking a skilled and innovative Senior Data Analytics Professional to lead our analytics efforts across the UK and Ireland. This role focuses on developing cutting-edge data solutions using advanced technologies such as Power BI, Microsoft Fabric, Snowflake, Azure, AWS, Python, SQL, and R.

Main Responsibilities:
  • Design and build interactive dashboards and reports using Power BI and Microsoft Fabric.
  • Perform advanced data analysis and visualisation to support business strategy and decision-making.
  • Develop and maintain robust data pipelines and queries using SQL and Python.
  • Apply data science techniques such as predictive modelling, classification, clustering, and regression to solve complex business problems and uncover valuable 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-driven solutions and communicate findings in a clear, actionable manner.
  • Use statistical techniques and hypothesis testing to validate assumptions and support strategic decision-making.
Key Qualifications & Skills:
  • 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:
  • Contribute to revenue growth through data-driven client solutions.
  • Supports business strategy and optimisation for analytics projects.
  • Drives adoption of modern analytics tools and practices.

This role requires a strong understanding of data analysis and a passion for driving business outcomes through data-driven insights.

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