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Performance Analytics Trainee

Sanofi
📍 Ho Chi Minh City 📅 Posted April 24, 2026
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About this role

Performance Analytics Intern, Vietnam

Scope of work

1. SFE (~60% of time):

Data consolidation (quarterly):

-    Sales target: to consolidate feedback from DM, Rep level

-    MSL target: to consolidate feedback from DM/DKSH (due to store close or lack of license)

-    "Customer classification for: Wholesalers, Chain, Hospital, : to consolidate from DM (DKSH only sell customer classification for Pharmacy/Retailer, the rests is manually)"

-    Territory feedback: to consolidate feedback from DM

Data quality checking (quarterly):

-    To make sure territory master data is clean & clean (especially for shared territory)

-    Data quality checking for chain store (it is out of scope of BOS), Chain sends data directly to our sales team

Master data (daily/weekly):

-    Support to build & clean master data for all channels: Retailer, Hospital, Chain

-    Ensure master data is well updated and store in SQL server (if can)

Other tasks (ad-hoc):

-    Supporting in calculating sales contest program (calculate performance)

-    Ad hoc data/reporting

2. Business Intelligence (~20% of time):

-    Perfect store tracing: collaboration with the Trade team and vendors to track the visibility and distribution of our CHC products in stores.

-    RTZ tracking: expand tracking to include the total channel, including Lactacyd and Hospital (on top of current dashboard covering Retail channel only)

-    Assisting in market research activities, including competitor analysis and trend monitoring

3. SFA (~20% of time):

-          Data governance: Consolidating data from source systems (CRM, ERP, e-commerce Apps, Marketing Analytics, etc.) and 3rd parties (IQVIA, IMS, Nielsen, etc.).

-          Data profiling: Creating a data dictionary with clear definitions, possible values, information on how the data was collected and how it relates to other data. Maintain contact with stakeholders and update any changes based on the format to ensure that the data is always in good shape.

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