Manager, Retail Analytics VN

Open 31d

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

See also