Data Analysis Manager

Company: STADA Vietnam/STADA Pymepharco

Location: HCMC - Viettel Tower

Position: Data Analysis Manager

Reporting line: Commercial Head

Prefer for candidate who have data tender knowledge & tender market intelligence in Pharma/healthcare industry

Role Purpose

This role will be responsible for analyzing sales data, generating reports, setting sales targets, managing stock allocation between warehouses, and tracking OPEX. The ideal candidate will be instrumental in optimizing sales performance and enhancing strategic decision-making through data-driven insights.

Dimension

• Geographical Responsibility: Nationwide
• Work Location: HCMC
• Internal customers: Commercial, Marketing, other internal stakeholders (Culture and People, Finance, RA, …)

Benefit:

• 100% SHUI contribution on probation time
• 15 days annual leave/year
• Healthcare Insurance covered for 2 dependents
• Birthday, Tet, holidays...bonus
• Friendly, open and comfortable MNC working environment
• Other benefits following current labor law

Key responsibilities

Mindset

• Champion Growth Mindset
• Drive the adoption of strategic thinking and proactive planning across the organization.
• Facilitate cross-functional collaboration to enhance sales performance.
• Purpose & Values: Constantly work to build a team environment that is embedded with our STADA Purpose and 4 Values.

Data management and business insight:

Daily Sales Reporting: Collect, analyze, and report daily sales data for retail, wholesale, and key accounts, ensuring accuracy and timeliness.

Monthly Business Reporting: Prepare comprehensive monthly business reports that highlight trends, opportunities, and areas for improvement.

Setting Target: Collaborate with the sales team to set achievable sales targets based on historical performance and market potential.

Stock Allocation Management: Develop and implement stock allocation strategies across warehouses to meet demand and optimize inventory levels.

Sales Incentives: Involve in designing and managing sales incentives to drive motivation and performance among sales personnel, ensuring strategic alignment with overall business goals.

Sales Dashboard Creation: Create interactive sales dashboards to visualize key performance indicators (KPIs) and trends, enabling quick and informed decision-making.

Demand Forecasting: Utilize statistical and analytical methodologies to generate accurate demand forecasts that guide supply chain and inventory management.

OPEX Tracking & Management: Monitor and analyze operational expenditures, ensuring alignment with budgetary constraints and strategic objectives.

Team Collaboration and Leadership

• Be an active and proactive key member of the Commercial team
• Create a sense of common purpose across local commercial teams and cross-functional teams and share business/sales imperatives, by establishing clear and positive messages about what needs to be achieved.
• Closely working with external partners and internal stakeholders to support training initiatives.

Key Requirements

EDUCATION: Bachelor's degree in business administration, Data Science, Mathematics, Statistics, or a related field. Master's degree is a plus

WORKING EXPERIENCE:

• 5+ years of experience in data analysis, preferably within a retail or wholesale environment at pharma or consumer healthcare industry
• Proven experience in sales reporting and forecasting
• Prefer for candidate who have data tender knowledge & tender market intelligence

COMPETENCIES

• Excellent verbal and written communication skills, with the ability to present complex data findings in a clear and concise manner.
• Detail-oriented with strong organizational skills
• Ability to work collaboratively in a team-oriented environment
• Strong time management and multitasking abilities
• Proactive and self-motivated with a growth mindset

OTHERS

• Good command of English
• Proficiency in data analysis tools (e.g., Excel, SQL, Python, R) and business intelligence software (e.g., Tableau, Power BI).
• Ability to manipulate large data sets and perform complex analysis.