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Data Analytics Lead Responsibilities : - Oversee the design, development, and implementation of data analysis solutions to meet business needs. - Work closely with business stakeholders and the Aviation SME to define data requirements, project scope, and deliverables. - Drive the design and development of analytics data models and data warehouse designs. - Develop and maintain data quality standards and procedures. - Manage and prioritize data analysis projects, ensuring timely completion. - Identify opportunities to improve data analysis processes and tools. - Collaborate with Data Engineers and Data Architects to ensure data solutions align with the overall data platform architecture. - Evaluate and recommend new data analysis tools and technologies. - Contribute to the development of best practices for data analysis. - Participate in project meetings and provide input on data-related issues, risks and requirements. Qualifications : - 12+ years of experience as a Data Analytics Lead, with experience leading or mentoring a team. - Extensive experience with cloud-based data modelling and data warehousing solutions, using Azure Data Bricks. - Proven experience in data technologies and platforms, ETL processes and tools, preferably using Azure Data Factory, Azure Databricks (Spark), Delta Lake. - Advanced proficiency in data visualization tools such as Power BI. Data Analysis and Visualization : - Experience in data analysis, statistical modelling, and machine learning techniques. - Proficiency in analytical tools like Python, R, and libraries such as Pandas, NumPy for data analysis and modelling. - Strong expertise in Power BI for data visualization, data modelling, and DAX queries, with knowledge of best practices. - Experience in implementing Row-Level Security in Power BI. - Ability to work with medium-complex data models and quickly understand application data design and processes. - 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. Data Handling and Processing : - Proficient in SQL Server and query optimization. - Expertise in application data design and process management. - Extensive knowledge of data modelling. - Hands-on experience with Azure Data Factory, Azure Databricks. - Expertise in data warehouse development, including experience with SSIS (SQL Server Integration Services) and SSAS (SQL Server Analysis Services). - Proficiency in ETL processes (data extraction, transformation, and loading), including data cleaning and normalization. - Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) for large-scale data processing. - Understanding of data governance, compliance, and security measures within Azure environments.

Ahmedabad

Tecblic - Data Analytics Lead 

Job Description for Tecblic - Data Analytics Lead  in Tecblic in  Ahmedabad for (10-12) years of experience. Apply Now!

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