Job Summary

Analytics Engineer in Banking domain

Key Responsibilities

• Understand user stories supporting a wide array of use cases such as reporting in Tableau, data science or analytics activities, or indeed operational data flows for decisioning and campaign tools 

• Design physical data structures in Google Big Query to optimize efficiency, scalability and consistency in a repeatable manner 

• Catalogue and document metadata on available data sources and communicate rationale for modelling decisions made 

• Work closely with the team to ensure data models align with stakeholder expectations and practical engineering patterns in DBT and Terraform 

• Profile incoming source data (batch and real-time event) to deeply understand data, contribute to data integration specifications and help to build robust and future-proof models 

• Participate in the continuous improvement of data assets and governance processes to enable customers to easily access the data they need 

Skill Requirements

You will ideally bring the following:    

• Bachelor’s degree  

• At least 4 years of technical experience with Data Analysis/ Analytics Engineer/ Data Engineer or equivalent 

• Excellent English communication skills 

• Excellent SQL, data analysis and data profiling skills 

• Proven success designing and/or building BI/DW or ETL solutions, especially using data transformation tools such as DBT or Dataform 

• Demonstrated experience with data pipeline orchestration and/or configuration as code 

• Exposure to data in cloud-native environments 

• An appreciation for difficult problems and to work autonomously on complex tasks 

• The Analytics Engineer role is a midpoint between Data Analyst and Data Engineer; you need to ‘care’ about the data itself, not just the pipelines, but also be comfortable with engineering practices such as source control, tagging, CI/CD and automated testing using Python. 

Other Requirements