[HCM] B2B Business Data Analyst
This role focuses on enabling data-driven decision making for the B2B Business Development team through a combination of analytics, reporting, and business modeling. The position plays a critical role in driving revenue growth, improving sales efficiency, and optimizing pricing strategies.
Key Responsibilities
1. Business Performance Analysis
- Analyze business data (revenue, customer/ sector performance, satisfaction metrics, receivables, etc.) to identify trends, opportunities, and risks
- Provide actionable insights and recommendations to improve business performance
- Conduct deep-dive and ad-hoc analyses to support decision-making by the Head of B2B Business Development
- Track, calculate, and monitor sales performance KPIs at individual and team levels
- Support the execution of incentive and commission schemes
- Ensure accuracy, consistency, and transparency of performance data
2. Forecasting & Commercial Analysis
- Develop forecasting models and business projections (monthly, quarterly, yearly)
- Partner with Head of B2B Business Development to build pricing models, simulate discount scenarios, and evaluate impact on revenue, margin, and growth
3. Dashboard & Data, System Automation (BI)
- Design, build, and maintain dashboards and automated reports for the Freight B2B team
- Standardize metrics definitions and data structures to ensure consistency
- Improve reporting efficiency through automation and scalable data solutions
- Support the BD team on data-related and system-related topics (CRM, sales modules, etc.)
- Work closely with the technology team to improve system processes within the sales module to better support business operations
Requirements
1. Experience, Skills & Knowledge
- At least 2 years of experience in Data Analytics, Business Analytics, or Commercial Analytics.
- Strong proficiency in SQL (BigQuery), Advanced Excel/Google and data visualization tools (Looker Studio, Tableau, or PowerBI) is a must.
- Experience supporting Sales / Business Development / Commercial teams is highly preferred
- Prior experience in logistics, e-commerce, or B2B environments is a strong advantage
- Ability to effectively leverage AI to enhance data analysis, automate reporting, and generate insights while ensuring accuracy and critical evaluation of outputs.
2. Mindset & Ways of Working
- Business & Impact-Oriented: Focuses on driving measurable business outcomes, not just reporting data
- Data-Driven & Structured Thinking: Uses data to challenge assumptions and solves ambiguous problems with clear, logical approaches
- Ownership & Continuous Improvement: Takes full responsibility for data accuracy and proactively improves processes and reporting efficiency
- Strong Stakeholder Management & Communication: Collaborates effectively across teams and translates insights into clear, actionable recommendations