Job description

Develop and deliver data analytics and visualization projects working within a team by understanding the customers' business needs and their data workflows and then designing ETL pipelines ingesting into data warehouses to deliver impactful dashboards and reports. It also includes using the data to perform predictive analysis leveraging AI and ML technologies.
  • 2 to 6 years of proven track record of analytics work experience. Fresh Graduates with relevant internship experience or good academic results are encouraged to apply
  • Work with the Data Team in data management project implementations
  • Develop Data Management pipelines using ETL tools and Data Warehouse platforms - both on Cloud and on-premises
  • Analyze Client Users' data and translate business queries into analytics using products like Tableau, PowerBI, etc.
  • Keeping abreast of developments and trends in data, analytics, and technology in the identified business areas and exploring new possibilities to optimize the use of existing data and technology in improving/transforming business processes
  • Explore and develop prototypes to gather feedback and validate proposed solutions for Clients
  • Provide training and support to empower Client Business Users to leverage data
  • Possess a good degree in Engineering, Statistics, Computer Science, Data Science, or related fields of study. Additional qualifications in Business Related domains and experience with DSAI / data modeling would be preferred
  • A good appreciation of data workflows, with at least 2 years of relevant work experience within the Data Management industry would be advantageous
  • Having experience in Scrum and/or agile implementation experience would be a plus.
  • Strong interpersonal and communication skills, with the ability to conceptualize complex issues and concepts and succinctly present them into possible avenues for review
  • Possess learning agility and enjoy challenging status quo
  • Technically savvy, i.e. proficiency in SQL, ETL Tools, and Cloud. Big Data, AWS/Azure, and BI/Data software programs like Tableau, Dataiku, Python, Talend, Pentaho, Microsoft, and Oracle products are an advantage

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