Job Description
Location: TX – Spring, 77389(Onsite)
**Must be US citizen or Green Card Holder.
Key Responsibilities:
- Extract, clean, and preprocess large datasets from diverse sources.
- Develop and implement data acquisition and integration logic to ensure optimal data flow and performance.
- Develop and maintain databases and build solutions that will make our data evaluation process more flexible or scalable across datasets.
- Utilize statistical tools, data mining techniques, and machine learning algorithms to analyze data and identify trends, patterns, and anomalies.
- Create and maintain interactive visualizations, dashboards, and reports that communicate data insights effectively to both technical and non-technical audiences.
- Simplify complex data into clear, compelling narratives and presentations.
- Work closely with the team to understand their analytics needs and deliver actionable insights.
- Collaborates with cross-functional teams to understand business requirements and develop data-driven solutions.
- Understanding of supply chain concepts, including inventory management, logistics, procurement, and demand forecasting.
- Present findings and recommendations to decision-makers, providing context and clarity to support effective decision-making.
- Identify and recommend opportunities for process improvements within the supply chain.
- Establish and enhance data systems and processes to improve the efficiency and flow of data.
- Monitor performance metrics and suggest strategies to enhance supply chain operations.
- Lead and manage moderate to high-complexity projects, ensuring timely delivery and alignment with strategic goals.
Key deliverables should include:
- Enhance Memory and Storage team regular reporting consistency – format, cadence.
- Timely completion of projects with adherence to strategic objectives.
- Improved performance against metrics through effective improvements in our data management, handling, and analysis.
- Regular progress reports and performance evaluations.
- Effective collaboration with cross-functional teams.
- Continuous identification of process improvement opportunities.
Qualifications:
- Bachelors/master’s degree in engineering, Data Analytics, Supply Chain, Industrial Engineering, Computer Science or equivalent experience.
- Typically, 3-5 years of experience in supply chain function or Business/ Systems Analysis.
- Good knowledge of supply chain concepts such as inventory management, logistics, procurement, and demand forecasting.
Knowledge and Skills:
- Expertise in writing complex SQL queries using Microsoft SQL server and understanding database schema and structures.
- Advanced proficiency in Excel, including formulas, pivot tables, and data analysis tools.
- Knowledge of VBA for automating tasks in MS Access and Excel.
- Proficient in Python for data analysis and manipulation.
- Strong knowledge of supply chain processes (plan, source, make, deliver).
- Demonstrated expertise in data visualization techniques and tools, including Microsoft Power BI.
- Familiarity with SAP ERP modules (e.g., SAP S/4HANA) for supply chain and data management is a plus.
- Proficient in data integration, ETL processes, and pipeline automation, including the use of SSIS.
- Skilled in maintaining and optimizing databases and ensuring data accuracy.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication skills, including technical writing and the ability to convey complex information clearly.
- Advance proficiency in in PowerPoint and Think Cell. Ability to tell a story with data, clearly present complex subject matter, and convey messages that are heard and understood by the audience.