Technical Payments Business Analyst translating business needs into actionable technical requirements. Collaborating with stakeholders on payment flows, APIs, and complex workflows in a hybrid model.
About the role
- Data Analyst at Veepee ensuring stock data quality. Collaborating with IT and business for data reporting and issue resolution.
Responsibilities
- The Stock Data Quality team aims to ensure the quality of stock data throughout the stock lifecycle: from its creation in the warehouse to its use in downstream processes such as stock valuation, inventory management, etc., and for all stock attributes: quantity, ownership, stock age, movement types, and more. This team, reporting to Inventory Management, works closely with IT (VP Tech) and business teams to act on both technological and process levers to improve this data.
- As a Data Analyst focused on continuous improvement within this team, you will be responsible for daily monitoring of stock data anomalies, implementing temporary mitigation actions, improving monitoring tools, identifying recurring anomalies, and reporting activity using KPIs. This foundation will support the implementation of corrective actions identified by the Stock Data Quality team in collaboration with IT and business teams.
- Monitor existing tools daily to ensure correct propagation of stock data.
- When monitoring tools raise alerts, analyze the root causes of the alerts.
- Create tickets with tech and business teams and follow up on ticket resolution.
- Propose additional tools to strengthen monitoring or alerting.
- Produce daily or twice-weekly reports on observed discrepancies to inform thinking on longer-term corrective actions.
- Build and distribute quality monitoring KPIs.
- Participate in identifying corrective actions.
- Define the scope of these actions.
- Develop a project plan that accounts for IT deliveries, process redefinition, and change management.
- Define KPIs to measure expected gains.
- Communicate project progress and escalate alerts.
Requirements
- Degree from a business school or a degree in data science, computer science, mathematics, statistics, or a related field
- Good knowledge of Google Sheets / Excel for creating pivot tables and charts
- SQL
- Metabase (desired)
- Power BI, MicroStrategy (desired)
- Machine learning
- Proficiency in programming languages such as Python, R, or SAS
- Data visualization skills
- Fluent English
- Rigor, autonomy and curiosity
- Analytical thinking and strong ability to synthesize
- Proactive and solution-oriented
- Good written and verbal communication and interpersonal skills
- Project management
Benefits
- Variable bonus
- Profit-sharing & incentive plan
- Remote work possible up to 2 days per week
- Online language-learning platform
- Employee representative committee (CSE) and related benefits
- CESU vouchers and holiday vouchers
- Access to company catering and smart fridges
- Access to an on-site gym
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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