AI-generated summary
beta
This job is all about helping businesses see the money they save and how they improve after using our systems. You might like this job because you’ll get to build cool dashboards, track savings, and show off real results to clients!
RM 3800 - RM 4500
Cheras, Kuala Lumpur
Full-Time
few hours ago
Job Description
Primary Responsibility
The core mission of this role is to design and implement a Measurement Framework that quantifies the financial and operational impact of our custom systems. You will be responsible for identifying "Before vs. After" metrics to prove cost savings, time efficiency, and revenue growth for our clients.
Key Responsibilities :
- Baseline Benchmarking: Conduct "Before" audits of client manual processes to establish clear baselines (e.g., current man-hours spent, error rates, operational costs).
- Metric Development: Define specific KPIs for each project, such as:
Cost Savings: Reduction in labor costs, server overhead, or material waste.
Efficiency: Percentage decrease in "Time-to-Complete" for core business tasks.
Revenue Growth: Tracking lead conversion rates or sales volume increases post-implementation.
Data Visualization: Build "Value Dashboards" (using Power BI or Tableau) that clients can use to see their ROI in real-time.
Case Study Reporting: Produce high-impact "Value Realization Reports" that the sales team can use to justify premium pricing.
Data Pipeline Management: Extract data from our custom systems (via SQL/APIs) and clean it for accurate analysis.
Job Requirements
Job Requirements
- TecVisualization (The Tools)
Proficiency in SQL: Must be able to query databases of the systems you develop.
Data Visualization: Advanced skills in Power BI, Tableau, or Google Looker Studio.
Excel/Google Sheets: Expert level (Pivot tables, complex formulas, and financial modeling).
Programming (Optional but Preferred): Python or R for more complex predictive modeling.
2. Soft Skills (The "Value-Add")
Business Acumen: Ability to understand a client's P&L (Profit and Loss) and identify where a software fix can save money.
Communication: Must be able to explain complex data to non-technical business owners in a way that makes them feel the software is an "investment," not a "cost."
3. Experience & Education
Education: Degree in Data Science, Statistics, Business Analytics, or Finance.
Experience: 2–4 years of experience in data analysis, preferably in a B2B or software-as-a-service (SaaS) environment.
Skills
Company Benefits
Travelling Allowance
Drive, public transport or even walk, we still pay you
Laptop Subsidy (Macbook !!!)
Up to RM7500 per person
MC claim, body and optical check up subsidise
Up to RM300 per year
Learning week
5 days leave (Excluded from annual leave) and claimable up to RM200 per person on learning new knowledge
Quarterly Event
One major activity per quarter
Monthly Sport Event
Let's get wet together with the team!
Additional Info
Company Activity
Last active - 1 hour ago
Experience Level
1 - 3 Years of Experience
Career Level
Junior Executive
Job Specialisation
Company Profile
