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Data Analyst - Business Intelligence
Shopee
Kuala Lumpur
Presencial
MYR 60.000 - 80.000
Jornada completa
Ayer
Sé de los primeros/as/es en solicitar esta vacante
Descripción de la vacante
A leading e-commerce platform in Kuala Lumpur is looking for a Data Analyst to manage and analyze large datasets, ensuring data integrity while collaborating with business teams. The ideal candidate should have a Bachelor's degree in a relevant field and advanced skills in SQL, along with strong analytical and problem-solving abilities. Experience with R or Python is a plus. This role demands independence, adaptability, and business acumen in a dynamic environment.
Formación
Bachelor’s degree in a relevant field.
Advanced SQL skills required.
Strong analytical and problem-solving skills.
Ability to work independently in a fast-paced environment.
Responsabilidades
Querying and analyzing large datasets for business needs.
Collaborating with business teams to translate questions into technical tasks.
Performing statistical analysis and evaluating model performance.
Ensuring data integrity and accuracy.
Engaging in end-to-end analyses to address business challenges.
Conocimientos
Advanced SQL
Data analysis
Statistical analysis
Problem-solving
Communication
Collaboration
Business acumen
Educación
Bachelor’s degree in Analytics, Data Science, Computer Science, Engineering, or related fields
Herramientas
R
Python
Descripción del empleo
Job Description
What You’ll Do
Work with Data: Responsible for querying, and analyzing large datasets, and creation or fixing of data pipelines and dashboards to meet business needs.
Collaborate with Business Teams: Partner with business teams to understand challenges, contribute to analytics frameworks, and help translate business questions into technical tasks.
Statistical Analysis: Assist in in-depth analysis using methods like A/B testing, regression, penetration, benchmarking, projection, assist in evaluating model performance, and interpret data to provide actionable insights.
Data Integrity: Ensure data integrity and accuracy by implementing best practices in data management and governance.
Project / Study: Engage in end-to-end in-depth analyses or projects, and provide actionable next steps to address business challenges.
Requirements
Bachelor’s degree in Analytics, Data Science, Computer Science, Engineering, Actuarial Science or related fields.
Advanced level of SQL, strong knowledge in data granularity and data principles
Strong interpretation of large and intricate dataset (millions to billions rows).
Strong analytical and problem-solving skills.
Strong communication & collaboration skills.
Strong business acumen in finance, marketing, business development, operations or related.
Able to work in a fast-paced and dynamic environment independently.
* El índice de referencia salarialse calcula en base a los salarios que ofrecen los líderes de mercado en los correspondientes sectores. Su función es guiar a los miembros Prémium a la hora de evaluar las distintas ofertas disponibles y de negociar el sueldo. El índice de referencia no es el salario indicado directamente por la empresa en particular, que podría ser muy superior o inferior.