Assist in business requirements gathering to meet the objectives of business intelligence and statistical modelling projects
Assist in data mapping activities to ensure data elements required are identified and undertake data readiness assessment
Develop and implement designed data acquisition modules to acquire BI related data, develop functional and appealing web-based applications based on usability
Data exploration, statistical data analysis and statistical modelling work
Develop and implement designed data solution ETL (extract, transform and load) modules, multi-dimensional cubes, business/MIS reports and dashboards based on functional and technical specifications
Develop functional requirements and technical design documents, test plans, rollout plans and data mapping rules documents (Source Data to Target Repositories)
Monitor and tune data solution process performance
Candidate must possess at least a bachelor's degree in Statistics/Mathematics, Actuarial Science, Data Science, Computer Science, Information Technology or equivalent
Candidate is expected to be analytical minded, meticulous, versatile in problem solving, with a keen eye for detail
Passion in data analytic & knowledge in data related script writing skill is core
Curious, self-motivated, eager to learn, and not afraid to ask questions
Strong interpersonal & presentation skills with the ability to collaborate effectively in a team environment and work independently when required
Familiarity with Microsoft SQL, SAS data tools is preferred
Skilled in using Microsoft Office
Good & reasonable command of English in both verbal and written
We provide medical & hospitalization benefits, transport allowances, a 5-day week and 18 days of annual leave to the successful candidates
We practice hybrid work model with flexibility to promote higher productivity & efficiency
Fresh graduates are encouraged to apply, in-house training & supervision will be provided
Interested candidates may apply with comprehensive resume and full transcripts stating expected salary, contact details together with a recent photo to hr@k-navitas.com
Key Highlights
Workplace flexibility with generous company policies
Pursue growth and learning with positive team and family spirit
Personal mentoring from the top management