Data Analysis

Plan and Control the Data Modelling, Data Transformations, Data Storage Design and Data Training. Also be
responsible for designing databases for specific needs and provide training the use of data storage and
retrieval systems, databases and software.
• To design and translate complex business data into usable data/information and Work with data architects
to design databases that meet Business needs using conceptual, logical, and physical data models
• To ensure models are designed to improve efficiency and outputs, and may focus on issues such as
reducing data redundancy or improving data movement across system
• To provide consultation in Identifying Business Needs to improve business returns , efficiencies, defining
business users’ requirements, understanding of data flows, propose and implement innovative data
solutions
• To create and maintain Data Models, by working closely Data engineers to create optimal physical data
models of datasets, then create and maintain data maps and systems interrelationship diagrams for data
domains and systems
• To set Standards, by defining and governing data modeling and design standards, tools, best practices, and
related development methodologies for the organization for which they work. They also set standards for
document naming, security, and lifecycle & retention architecture
• To advise on recommendations based off of data analysis, recommends for standardization and proper
data usage. Championing the usage of data in business, and communicate the benefits and return on
investment for application and product owners
• To provide data model reporting to BU Master Users
QUALIFICATIONS

 Qualifications
o Bachelor /Masters/ Doctorate degree in Computer Science, Statistical Analysis, Computer
Information Systems, Computer Engineering, or equivalent.
 Must Have
o 5-7 years of demonstrated experience in designing Enterprise Data Analysis framework, Data
Mesh, Data Fabric :.
o Experience querying databases and using statistical computer languages: R, Python, SQL, etc.
o Experience using cloud platform Azure , AWS, GCP and Hybrid environment.
o Experience with distributed data/computing tools: Azure Databricks, Unity Catalogue, Purview,
Spark Streaming, Hive, Power BI , Apache Superset etc.
o Experience with relational SQL and NoSQL databases, including Postgres / Cassandra/
MongoDb/Cosmos Db
o Flexible and able to take up new roles and responsibility as per company’s direction
 Nice To Have
o Excellent written and verbal communication skills for coordinating across teams.
o A drive to learn and master new technologies and techniques.
o Coding knowledge and experience with several languages: Python, Scala, R , C, C++, Java,
o Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
o Experience in Aviation industry.