Data Analyst - L4

Starburst Data Engineer/Architect

• Expertise in Starburst and policy management like Ranger or equivalent.
• In-depth knowledge of data modelling principles and techniques, including relational and dimensional.
• Excellent problem solving skills and the ability to troubleshoot and debug complex data related issues.
• Strong awareness of data tools and platforms like: Starburst, Snowflakes, Databricks and programming languages like SQL.
• In-depth knowledge of data management principles, methodologies, and best practices with excellent analytical, problem-solving and decision making skills.
• Develop, implement and maintain database systems using SQL.
• Write complex SQL queries for integration with applications.
• Develop and maintain data models (Conceptual, physical and logical) to meet organisational needs.

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Do

1. Managing the technical scope of the project in line with the requirements at all stages

a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends

b. Develop record management process and policies

c. Build and maintain relationships at all levels within the client base and understand their requirements.

d. Providing sales data, proposals, data insights and account reviews to the client base

e. Identify areas to increase efficiency and automation of processes

f. Set up and maintain automated data processes

g. Identify, evaluate and implement external services and tools to support data validation and cleansing.

h. Produce and track key performance indicators

2. Analyze the data sets and provide adequate information

a. Liaise with internal and external clients to fully understand data content

b. Design and carry out surveys and analyze survey data as per the customer requirement

c. Analyze and interpret complex data sets relating to customer’s business and prepare reports for internal and external audiences using business analytics reporting tools

d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking

e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool

f. Develop predictive models and share insights with the clients as per their requirement

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Deliver

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