Senior Data Analytics Lead

5 days ago

Coimbatore, Tamil Nadu, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Title: Senior Data Analytics Lead

This role is responsible for leading a team of data professionals in the design, development, and implementation of data analytics solutions.

  • Data Handling and Processing:
    • We are seeking an experienced professional with expertise in SQL Server and query optimization.
    • A strong understanding of application data design and process management is essential.
    • The ideal candidate will have extensive knowledge of data modelling, including hands-on experience with Azure Data Factory, Azure Synapse Analytics, and Microsoft Fabric.
    • Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) for large-scale data processing is required.
    • An understanding of data governance, compliance, and security measures within Azure environments is also necessary.
  • Data Analysis and Visualization:
    • Experience in data analysis, statistical modelling, and machine learning techniques is highly desirable.
    • Proficiency in analytical tools like Python, R, and libraries such as Pandas, NumPy for data analysis and modelling is essential.
    • A strong expertise in Power BI for data visualization, data modelling, and DAX queries, with knowledge of best practices is required.
    • Ability to work with medium-complex data models and quickly understand application data design and processes is necessary.
    • Familiar with industry best practices for Power BI and experienced in performance optimization of existing implementations.
    • Understanding of machine learning algorithms, including supervised, unsupervised, and deep learning techniques is also desirable.
  • Non-Technical Skills:
    • Leadership skills to manage a team of 4-5 developers and take ownership of deliverables.
    • Demonstrates a commitment to continuous learning, particularly with new technologies.
    • Strong communication skills in English, both written and verbal.
    • Able to effectively interact with customers during project implementation.
    • Capable of explaining complex technical concepts to non-technical stakeholders.

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