Manager, Retail Analytics VN

MIS reporting & analysis

• Develop and provide daily, monthly and ad-hoc MIS reports.

• Data analytics for various areas, including production and timely delivery of reports relating but not limited to customer and product profitability, business opportunity pipeline and tracking.

• Compile and perform data mining from various data sources, ensuring data accuracy and developing expertise on data literacy.

• Analyze and synthesize data to make insightful recommendations to improve decision making or improve.

• Cooperate with business stakeholders to collect requirements and translate them into appropriate data solutions and reporting deliverables.

• Promptly develop and implement reporting solutions to meet business requirements.

• Design and build data visualization dashboards for monitoring and analysis purpose.

• Automating and streamlining the reports by independently identifying the opportunities.

Database management and operation support

• Operation support on data related when required to clear backlog, manage operations activities and handle ad hoc request/ issue.

• Maintain granularity level of Datamart support covering Collection, Fraud, Digital Operations and Support Center.

• Campaign & contest management support with commission calculation for customers and sales

• Partner reconciliation & commission calculation on monthly basis.

• Service reconciliation & payout

• Real-time support with Partnership and product and other teams for any ad-hoc requests to support the acquisition strategy.

Modelling

• Be able to provide statistical modelling such as customer segmentation; propensity; cross-sell prediction; collection roll-rate detection, forecasting, etc.

Project management

• Be ownership to lead projects assigned during work related to reporting and data analytics.

Budgeting support

• Support on budgeting aspects related to cost management and amortization for alignment with monthly business’s plan.

Undertake other ad-hoc tasks as assigned that may not be explicitly outlined in this job description.

Job Requirements

• BA / BS degree or higher.

• Bachelor’s degree in Finance, Banking; especially in Statistics, Data Science, Computer Science, Mathematics is a preference

• >= 5 years of analytical expertise in applying data solutions to business matters.

• Hands on experience with programming tools and technologies such as: SQL, Python, R, SAS, Google Cloud Platform, etc.

• Proficiency in data visualization and related tool such as Looker Studio, Power BI, etc.

• Strong analytical skills with high attention to detail and accuracy

• Highly motivated to discover insights, trends, and patterns through data analysis

• Strong data visualization skills, able to translate data finding in optimal visual summary to enable quick interpretation by business users

• Proficiency building reports and dashboards that distill data and clearly capture key insights

• Understanding of relational database and common statistical methods.

• Strong aptitude for learning new technologies and analytics techniques

• Highly motivated with a focus on continuous improvement and utilizing best practices in data management, reporting and business intelligence

• Ability to multi-task on projects in a fast paced, start-up environment with minimal supervision.

• Ability to work well in team environment and also independently.

• Knowledge in big data analytics is preferred