Data Analytics Lead

5 days ago

Ahmedabad, India Tecblic Full time

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.

(ref:hirist.tech)

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