Data Analyst - Brand Analytics, Regional Brand Partnership

Shopee; Singapore; On-site; SGD 50,000 - 80,000; Full time

Job summary

A leading company in the e-commerce sector is seeking a motivated BI professional to enhance business processes through data analysis and automation. The role involves collaborating with stakeholders, developing solutions, and conducting brand performance analysis. Ideal candidates will have strong technical skills in SQL, PySpark, and Python, along with excellent communication abilities.

Qualifications

• Proficiency in SQL, PySpark, and Python for data processing and analysis.
• Strong problem-solving and critical-thinking skills.
• Experience in creating automated reporting and dashboards.

Responsibilities

• Collaborate with stakeholders to identify needs and improve processes.
• Define and track KPIs aligned with business goals.
• Conduct brand performance analysis and provide insights.

Skills

SQL

PySpark

Python

Problem-solving

Critical-thinking

Communication

Job description

We are seeking a motivated and detail-oriented BI to join our team. The ideal candidate will work closely with cross-functional stakeholders, leveraging data and automation to enhance business processes, drive insights, and support performance analysis.

Job Description

• Collaborate with stakeholders to identify their needs, pain points, and opportunities for process improvements. Develop and implement solutions, including automation, to streamline workflows and boost productivity.
• Define and track Key Performance Indicators (KPIs) in partnership with stakeholders, ensuring alignment with overall business goals.
• Utilise tools like SQL, PySpark, and Python to collect, process, and integrate data from multiple sources. Build automated workflows for reporting and dashboarding to provide actionable insights.
• Conduct in-depth brand performance analysis in collaboration with Key Account Managers, uncovering trends and recommendations to support business growth.

Requirement

• Proficiency in SQL, PySpark, and Python for data processing and analysis.
• Strong problem-solving and critical-thinking skills, with the ability to translate business needs into technical solutions.
• Experience in creating automated reporting and dashboards to drive decision-making.
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams.