Senior Data Analyst - Supply Chain
Senior Data Analyst - Supply Chain
Logic Hire Solutions LTD
España
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Position Summary
The Senior Data Analyst will be critical in analyzing supply chain data, using tools such as SQL and Python to extract, transform, and analyze data that enhances our logistics and operational strategies. We seek a detail-oriented professional with strong analytical skills who can work effectively with both technical teams and business stakeholders to tackle complex supply chain challenges and improve data integrity across our platforms.
Key Responsibilities
- Perform in-depth data analysis specific to the supply chain sector, identifying quality and integrity issues within datasets, utilizing advanced SQL queries, Python scripting, and BI tools to produce actionable insights for stakeholders.
- Collaborate directly with clients to comprehend their supply chain processes, identify operational bottlenecks, and propose data-driven solutions that improve efficiency and support business goals.
- Design and implement effective data collection methodologies and processing protocols alongside database engineers to ensure data scalability and reliability throughout the supply chain.
- Build and automate data pipelines and workflows using ETL (Extract, Transform, Load) processes to enhance data quality, support real-time analytics, and optimize data management.
- Employ statistical techniques, including regression analysis and machine learning algorithms, to analyze large datasets, uncover trends, and deliver reports that provide crucial insights to improve supply chain performance.
- Develop and maintain thorough documentation that adheres to data governance standards while promoting best practices in data management relevant to the supply chain.
- Optimize and manage interactive dashboards using BI platforms (Power BI, Tableau, Looker) for real-time monitoring of key performance indicators (KPIs) related to supply chain metrics.
- Actively participate in agile project management processes, utilizing tools like Jira or Azure DevOps to ensure timely delivery of analytical solutions that support our supply chain initiatives.
- Stay updated on trends in supply chain analytics, data governance frameworks, and emerging technologies to enhance the organization's analytical capabilities.
- Experience: Minimum of 8 years of hands-on experience in data analytics within the supply chain industry, with demonstrated expertise in advanced SQL and Python programming for data manipulation and statistical analysis.
- Technical Skills: Proficient in creating optimized SQL queries and using Python libraries (e.g., Pandas, NumPy) for data processing; practical experience with data visualization tools such as Power BI, Tableau, or Looker.
- Analytical Skills: Strong ability to interpret and analyze complex supply chain datasets, synthesizing insights into actionable recommendations that drive strategic decision-making.
- Communication: Excellent written and verbal communication skills, capable of translating complex technical concepts into clear information for non-technical stakeholders and fostering cross-functional collaboration.
- Tools: Comprehensive experience with data visualization software (e.g., Tableau, Power BI) and familiarity with statistical analysis tools or libraries (e.g., Excel, SPSS, SAS).
- Education: Bachelor's degree in Data Science, Statistics, Computer Science, Supply Chain Management, or a related quantitative discipline.
- Knowledge of data governance frameworks and quality assurance principles relevant to the supply chain.
- Experience with cloud-based analytics platforms (AWS, GCP) in a supply chain context.
- Awareness of compliance standards and data privacy regulations (GDPR, CCPA) as they relate to supply chain data.
Skills: tableau,datasets,management,power bi,data analytics,supply chain,etl,python,etl processes,agile project management,data,data governance,machine learning,regression analysis,data visualization,supply,statistical analysis,data analysis,skills,bi tools,analytics,sql,looker
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Nivel de antigüedad
Algo de responsabilidad -
Tipo de empleo
Jornada completa -
Función laboral
Tecnología de la información -
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Desarrollo de software
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