Data Analytics Engineer

• Work with AWS, Snowflake, Hadoop, SAS, and Power BI for data processing, analytics, and reporting


• Extract, cleanse, transform, and prepare large volumes of data


• Analyse complex datasets and perform exploratory data analysis to identify trends, patterns, and actionable insights


• Lead day-to-day management, processing, and quality assurance of large-scale data


• Develop, maintain, and optimise data models, reports, dashboards, and visualisations


• Translate technical findings into clear insights and recommendations for stakeholders


• Manage and prioritise a pipeline of data and analytics requests


• Collaborate with business and technical teams to deliver data-driven solutions


• Support the Data Excellence Team with analytics for data identified as critical to the bank

Requirements

• Minimum of 2 years’ experience in Data Analytics or Data Engineering


• Experience with large and complex datasets in cloud-based or enterprise data environments


• Advanced proficiency in SQL


• Experience with AWS data services, SAS, and Hadoop


• Knowledge of data discovery, data mining, and exploratory data analysis


• Experience in data modelling and reporting


• Knowledge of business intelligence and visualisation tools, particularly Power BI (preferred)


• Experience with Snowflake development and data environments (preferred)


• Experience working with SAS and Hadoop (required), Snowflake and Power BI (preferred)


• Ability to perform exploratory data analysis and convert findings into actionable business insights


• Advanced data analysis and interpretation using SQL and other analytical tools


• Understanding of data quality, reporting, and visualisation principles


• Understanding of data extraction, cleansing, transformation, and preparation processes


• Experience developing and maintaining scalable data models and reporting solutions


• Hands-on experience with AWS Athena, Glue, and S3


• Knowledge of cloud-based data architectures and analytical platforms


• Excellent verbal and written communication skills


• Analytical, critical-thinking, problem-solving, stakeholder-management, organisational, and time-management skills


• Ability to prioritise competing demands and manage multiple tasks effectively


• Ability to simplify complex technical concepts for business-focused communication


• Ability to attend the office at least 12 days per month under the hybrid working pattern

Core Competencies

Demonstrates advanced proficiency in SQL and experience with AWS, Snowflake, SAS, and Hadoop for data analytics and engineering. Capable of developing and optimizing data models, reports, and visualisations while translating complex data insights into actionable business recommendations.

Highest-signal resume keywords

• Advanced SQL Proficiency


• AWS Data Services Experience


• Data Modelling and Reporting


• Power BI Expertise


• Exploratory Data Analysis

ATS Optimization Keywords

Hard Skills

• Data Analytics


• Data Engineering


• Data Extraction


• Data Cleansing


• Data Transformation


• Data Quality


• Data Mining


• Data Visualisation


• Data Reporting


• Data Preparation

Soft Skills

• Analytical Skills


• Critical-Thinking


• Problem-Solving


• Stakeholder Management


• Organisational Skills


• Time Management


• Communication Skills

Industry Keywords

• Cloud-Based Data Environments


• Business Intelligence


• Data Excellence


• Large-Scale Data Management


• Data-Driven Solutions

Tools & Technologies

• AWS


• Snowflake


• Hadoop


• SAS


• Power BI


• AWS Athena


• AWS Glue


• AWS S3