Provide support and guidance to data analysts and data scientists in accessing, understanding and utilizing the data assets effectively for analytics and modelling purposes, optimizing the execution of AI ML algorithm and workflow.
Visualize analytical findings and model outputs using enterprise BI tools such as Tableau, Power BI, or similar platforms to create intelligent dashboards that support operational decision-making.
Visualize analytical findings and model outputs using enterprise BI tools such as Tableau, Power BI, or similar platforms to create intelligent dashboards that support operational decision-making.
Data Contracts & Governance — Guided Implementation: Implement and maintain agreed data contracts between upstream data producers and downstream ML consumers, following governance standards established with guidance from ML Engineer. Establish access control and retention practices for all AI data assets.
Visualize analytical findings and model outputs using enterprise BI tools such as Tableau, Power BI, or similar platforms to create intelligent dashboards that support operational decision-making.
The role will focus on translating planning challenges into structured analytical problems, diagnosing performance drivers, evaluating scenarios and trade-offs, and developing evidence-based recommendations that improve planning decisions.
Ensure Data Quality and Integrity - Define and enforce data quality standards. Supervise data cleansing, validation, and transformation efforts to maintain accurate, consistent, and reliable datasets across systems.
Managing Veeva CRM to support MCCP upload, data maintenance and troubleshooting if required. Aim to have highest data accuracy, well crafted SOP and data completeness. At one point to be able to provide training for end users