Natsoft

Kinaxis Maestro Data Consultant

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Kinaxis Maestro Data Consultant with a contract length of "unknown," offering a pay rate of "unknown." Requires 6–10 years of experience, 3 Kinaxis implementations, strong data modeling skills, and SAP data extraction expertise.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 18, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Palm Beach County, FL
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🧠 - Skills detailed
#Datasets #Data Mapping #"ETL (Extract #Transform #Load)" #Data Quality #SAP #Data Pipeline
Role description
Data Consultant (Kinaxis) This role is mainly focused on handling and structuring data within the Kinaxis (Maestro/RapidResponse) platform. What the candidate should have: • 6–10 years of experience • Overall experience in data, supply chain systems, or similar domains. • At least 3 Kinaxis Maestro implementations • Hands-on experience working on real projects where they have implemented Kinaxis solutions end-to-end (not just support). • Strong understanding of Kinaxis data model • They should clearly understand how data is structured in Kinaxis, such as: • Demand data • Supply data • Inventory • Relationships between datasets • Experience extracting data from SAP (preferred) • Since many companies use SAP as their ERP system, the candidate should know how to: • Pull data from SAP • Transform it • Load it into Kinaxis What the person will actually do: • Work on data mapping & integration • Connect data from systems like SAP into Kinaxis. • Build and manage data pipelines (ETL) • Extract → Transform → Load data into the Kinaxis platform. • Ensure data quality • Clean, validate, and maintain accurate data for planning. • Support supply chain planning • Provide correct data so business teams can make decisions on: • Demand planning • Supply planning • Inventory optimization • Collaborate with functional teams • Work closely with consultants and business users to understand what data is needed.