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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

·        8+ 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, Superset, Tablue 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.

Responsibilities and Duties

Develop high-quality software design and architecture.

Achieve the timeline with quality delivery of assigned tasks.

Able to do technical analysis and code review.

Able to troubleshoot internal & production bugs.

Coordinate and support to project co-ordinator/project manager.

Development coding standards are achieved.

Work with internal teams to understand and analyse their needs and to ensure that proposed solution caters to same.

Adopt new technology in quick time.

Implement Unit tests and Functional tests to ascertain highest quality of deliverables.

Identify, prioritize and execute tasks in the software development life cycle.

Understand business needs and know how to implement needs in system to meet business needs.

Able to create the technical documents.

Able to leading team members and planning of team’s task.

Design, develop, modify, implement, and support software components anywhere in the software stack.

Work in close partnership with cross-functional teams and management.

Requirements

Having knowledge of ASP .Net / .net core, Web API, Micro Services, JavaScript, jQuery, Bootstrap, Flutter.

Having good Release management, Cloud Management & Data base management knowledge

Having fluency in Agile methodology

Having knowledge of Power BI / Tablue will be added advantage

Soft skills – Manager level skill

Critical thinker and creative mindset and the ability to approach a problem creatively.

Ability to provide in-depth evaluation and analysis of unique complex technological issues.