Manager, BI & Data Visualization

The Manager, BI & Data Visualization will strengthen WPP Media Vietnam’s ecommerce and media data capability by turning fragmented raw data into accurate, automated, and business-useful dashboards. This role will support ecommerce growth across key clients by improving raw data processing, reporting automation, dashboard design, and full-funnel performance visibility. The end goal is to help internal teams and clients make faster, sharper, business-driven decisions across media, commerce, content, and sales performance. The role will also participate in regional workstreams related to platform API integration, AI-enabled data extraction, and reporting productivity across key platforms such as Google, TikTok, Meta, ecommerce platforms, and retail media ecosystems.

Responsibilities

Process, clean, transform, and consolidate raw data from multiple sources; Build structured data workflows to reduce manual reporting and improve data accuracy, consistency, and turnaround time; Use Excel Power Query, SQL, BI tools, and automation methods to handle multiple datasets and recurring reporting needs; Help connect media, ecommerce, content, and sales data into a more complete view of performance; Build performance views that support decision-making across awareness, engagement, traffic, conversion, sales, repeat, and commerce contribution; Work with Planning, Performance, Ecommerce, and Client teams to define key metrics, dashboard logic, reporting cadence, and performance interpretation; Join regional workstreams related to API integration with major platforms such as Google, TikTok, Meta, and relevant ecommerce/retail media platforms; Support local implementation of data automation and platform integration initiatives; Explore AI tools and automation solutions to improve productivity, data extraction, reporting speed, and workflow efficiency; Work closely with internal teams to understand reporting needs and translate them into clear dashboard requirements; Manage requests from non-technical stakeholders and convert business questions into measurable dashboard logic; Ensure data outputs are accurate, consistent, and quality-checked before being used in internal or client-facing discussions

Requirements

4-6 years of experience in Business Intelligence, Data Analytics, Ecommerce Analytics, Performance Marketing Analytics, Retail Media Analytics, or Commercial Analytics; Proven experience building dashboards and performance reporting systems for business users; Experience working with multiple data sources and fragmented datasets; Experience supporting stakeholder requirements and translating business needs into data/reporting outputs; Strong proficiency in Excel, especially Power Query, pivot tables, advanced formulas, and data transformation; Strong proficiency in at least one BI/dashboard tool: Power BI, Looker Studio, Tableau, or equivalent; Intermediate to advanced SQL required; Understanding of data cleaning, data modeling, ETL logic, and dashboard structure; Strong attention to detail and data accuracy; Structured thinking and problem-solving; Business-oriented mindset, not just technical dashboard execution; Ability to simplify complex data for non-technical stakeholders; Proactive in improving systems, workflows, and reporting standards; Curious about AI, automation, and new data solutions; Able to work independently and manage multiple priorities

Nice to have

Experience in ecommerce, digital media, social commerce, retail, FMCG, or media agency environment is strongly preferred; Python, Apps Script, Power Automate, n8n, or other workflow automation experience is a strong advantage; Basic understanding of API/data connectors is preferred; Familiarity with data from Google, Meta, TikTok, Shopee, Lazada, TikTok Shop, retail media, or ecommerce platforms is a strong plus

Benefits

Competitive medical insurance; group retirement plans; vision insurance; dental insurance; significant paid time off; preferential partner discounts; employee mental health awareness days; employee resource groups; in-office events; hybrid work with teams in the office around four days a week