Sales Analytics & Forecasting Specialist

OCBC e2 Power Sdn Bhd; Kampung Teluk Menara; On-site; MYR 60,000 - 100,000; Full time

Benefits offered by this job

Competitive base salary

Flexible benefits

Community initiatives

Learning and development opportunities

Wellbeing and growth

Job summary

OCBC e2 Power Sdn Bhd in Malaysia seeks a data‑driven professional to support the Sales Performance team with daily reporting and MI for regional OCBC markets. You will learn processes quickly and help forecast sales across channels through analytics.

The role requires a Diploma in a quantitative field with 1–2 years of experience and skills in SAS, Excel, SQL, Python. Data warehousing knowledge and strong communication are advantageous for success.

Qualifications

• Minimum Diploma in a quantitative discipline with 1–2 years related experience.
• Proficiency in SAS, Excel, Access, SQL, VBA, Python.
• Data warehousing knowledge is advantageous.
• Strong communication and business partnering skills.

Responsibilities

• Provide accurate and timely daily sales performance reporting and ad-hoc MI requests for sales planning / forecasting across OCBC markets.
• Understand operational flows and identify key risk areas.
• Document procedure changes to ensure audit compliance.
• Assist with day-to-day activities for Sales Performance across markets.
• Assist with data analysis, validation and feature engineering on raw datasets.
• Assist with User Acceptance Testing when required.
• Analyze performance data to derive insights for senior management.
• Develop forecasting models using predictive analytics for sales across channels.

Skills

SAS

MS Excel

MS Access

SQL

VBA

Python

Education

Diploma in Finance / Accounting / Economics / Data Analytics

Tools

Data Warehousing

Job description

OCBC e2 Power Sdn Bhd in Malaysia seeks a data‑driven professional to support the Sales Performance team with daily reporting and MI for regional OCBC markets. You will learn processes quickly and help forecast sales across channels through analytics.

The role requires a Diploma in a quantitative field with 1–2 years of experience and skills in SAS, Excel, SQL, Python. Data warehousing knowledge and strong communication are advantageous for success.