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Main duties and responsibilities
A Data Analyst interprets data and share actionable insights with decision-makers, thus affecting business decisions.
This involves interpretation of patterns and trends from the results of data integration, transformation and analysis via Data Visualization or Data Modelling.
A Data Analyst does more than simply manipulate data—they need to be able to represent their findings in a comprehensive manner for stakeholders.
Analytics Projects
Managing end-to-end analytics projects (data integration, transformation, analysis, and reporting).
Work alongside teams within the business or the management in researching or solving business-critical problems.
Consult with internal teams and clients to determine their ongoing business needs, and to find solutions to them.
Develop and present relevant storyboards/dashboards with relevant infographics/visualisations to better represent the business need.
Work closely with the Data Analytics Department and/or business units to solve statistical business problems.
Use statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
Scripting Projects
Develop algorithms to meet business-specific needs.
Have a good and competent grasp of the relevant scripting technologies, e.g. Python to achieve necessary objectives; including potentially optimizing and refactoring relevant scripts.
Data Lake Management
Manage, maintain, and develop the organization's data platform.
Mine data from primary and secondary sources, then reorganize said data in a format that can be easily read by either human or machine.
Design and maintain data systems and databases; this includes fixing coding errors and other data-related problems.
Prototype new systems and finding new ways of gathering, cleaning, and analysing data.
Job Requirements
Bachelor Degree in Business Analytics/Computer Science /Mathematics/ Statistics or related field
At least 2 years of experience in data analytics or a related field
Ability to understand business requirements, design, develop, test and deploy the final deliverables to live.
Strong programming skills in Python, SQL & DAX.
Experience in developing Power BI based dashboards, data modelling and DAX scripting.
Ability to work with large datasets in carrying the necessary ETL tasks.
Experience in Cloud based environment like AWS.
Familiar with various services like DMS, Athena, Glue, Redshift.
Excellent communication skills and able to understand business requirements.
Self-motivated to learn and build new skills as demanded by the role.
Strong team-player and comfortable in working with remote teams/users.
Take ownership of the deliverables and ability to resolve the issues in time.
Must be detail-oriented and able to highlight grey area.
We regret to inform you that due to the high volume of applications received, only candidates who are shortlisted for the next stage of the selection process will be contacted.
We appreciate your understanding and thank you for your interest in this opportunity.
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