
Data Analytics Solutions Architect
3 weeks ago
We are seeking a highly skilled and experienced Senior Data Analytics Expert to lead the design and development of advanced analytics applications for our global supply chain organization.
This role requires hands-on expertise in data engineering, machine learning, and data science to drive key digital initiatives, lead multiple projects, and collaborate with stakeholders to ensure successful solution delivery.
- Design and develop scalable, robust, reusable, and maintainable analytics and machine learning solutions for the supply chain organization across multiple strategic initiatives.
- Participate in fit-gap workshops, providing effort estimates and solution proposals.
- Develop and maintain code repositories, responding quickly to bug reports and security vulnerabilities.
- Collaborate extensively with colleagues across security, compliance, engineering, project management, and product management.
- Drive data enablement and build digital products/solutions according to business priorities and technology architects' alignment.
- Contribute towards major automation initiatives leveraging artificial intelligence and machine learning, cloud migration, data quality improvement, and business process simplification.
- Ensure solutions adhere to architectural and development standards, best practices, and the data and analytics strategy.
- Delivery on agreed KPIs including business impact.
- Launch of innovative technology solutions across the organization at scale.
- Business impact and value generated from solutions.
- Adoption and development of agile productization and DevOps practices.
- Operations stability and effective risk management.
- Feedback on customer experience.
- Applications adherence to ISC requirements and are audit ready.
- 8+ years of prior programming experience in a professional environment, building applications across platforms.
- Experience in working with complex landscapes and various integration capabilities.
- Experience in customer-facing IT roles.
- Strong data engineering fundamentals in data management, ETL, and data analysis.
- Strong hands-on exposure in data & analytics solutions including artificial intelligence and machine learning projects.
- AWS certification is preferred but not mandatory.
- Highly proficient in data and analytics technology and solutions.
- Excellent exposure in various machine learning use cases such as demand forecasting, spend forecasting, inventory optimization, route optimization, lead time prediction, recommendation, and optimization algorithms.
- Experience in handling external datasets such as weather data, traffic data, flight schedule data etc.
- Hands-on exposure with various AWS services.
- Excellent working experience with data warehouse, data lake, lake house.
- Exposure in SAP S/4 HANA, SAP BW/4HANA would be preferred but not mandatory.
- Hands-on expertise in: AWS services, SQL, Python, Databricks, Snowflake, and Power BI.
- Proficient in using: Jira, Confluence, GitHub, Bitbucket, SAP Solution Manager.
- Excellent understanding of supply chain business process and KPIs would be preferred.
- Ability to learn new technologies and functional topics in a very short period.
- Ability to align complex technical topics across global IT and business teams.
- Good grasp of the impacts and opportunities that data and technology will create for operations.
- English.
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