Data Engineering Manager

SATS

View Salaries, Reviews, and more

Job Description

Business Analytics

Build data pipelines and functions for visualisation and business analytics supporting the business and respective product owners
Deliver accurate regular and ad-hoc performance tracking and analysis to drive traffic, transactions and processes
Ad-hoc analysis based on strategic direction of the business and deep dive into specific area / trend
Make data management recommendations based on data and industrial practices
Assist in business case and pricing initiatives as required

Data Engineering and Analytics

Design, develop and implement datasets, models, as well as support to interpret and present statistical outcomes to support the organisation’s operations and execution of key business strategies
Design and conceptualize solution that address the organisation’s challenges through use of data engineering and analytics and process large amount of data by applying algorithms
Collaborate with stakeholders to build data management and analytics capabilities, conduct feasibility studies,
Knowledge of ETL and OLAP to support and contribute to database implementation and systems, devising strategies to promote continuous improvement
Devise methods and strategies to obtain and extract data to derive business insights.

Key Requirements

Degree holder in Information Systems, Business / Data Analytics, Information Technology or Computer Science with at least 8 years of experience in data engineering.
Working knowledge of data mining principles: mapping, collecting data from multiple data systems on premises and cloud-based data sources
Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analysing data, drawing conclusions, and developing actionable recommendations for business units
In-depth understanding of and experience in designing structured and unstructured, SQL and NoSQL data repositories.
Experience working with, creating and maintaining databases and repositories using state-of-the-art data backup, rollback and version control solutions.
Proficient with data engineering methods and technologies / tools such as ETL, R and/or Python. Azure Cloud proficiency will be an advantage.
Highly motivated, structured and methodical with high degree of initiative
Strong problem solving, quantitative and analytical abilities
Excellent written and oral communication skills.
Able to work independently or cross functionally

There are no salaries from SATS that are similar to this job