57014P - Data Analyst (Supply Chain)

Zerto; Deutschland; Hybrid; EUR 45.000 - 60.000; Vollzeit

Zusammenfassung

A leading tech company in Germany is seeking a Data Analyst focused on supply chain analytics. In this hybrid role, you will develop data-driven tools and reports to enhance decision-making. The ideal candidate has a Bachelor's degree in Data Science and proficiency in SQL, with a passion for data analysis. The company offers personal and professional development opportunities, along with a comprehensive benefits package.

Leistungen

Health & Wellbeing benefits

Personal & Professional Development programs

Unconditional Inclusion policies

Qualifikationen

• Bachelor's degree in Data Science, Business Analytics, Supply Chain Management, or a related quantitative discipline.
• Demonstrated experience in data analysis.
• Effective communication and interpersonal skills.

Aufgaben

• Develop and maintain reports and dashboards for insights into customer demand fulfillment.
• Utilize advanced SQL querying techniques for data extraction and manipulation.
• Design and implement interactive dashboards to visualize complex datasets.

Kenntnisse

SQL proficiency

Data analysis

Data visualization (e.g., Tableau)

AI/ML concepts

Problem-solving

Ausbildung

Bachelor's degree in Data Science or related field

Tools

Tableau

Snowflake

Python

Jobbeschreibung

Overview

57014P - Data Analyst (Supply Chain). This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.

Who We Are

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description

Join our dynamic team as a Data Analyst focused on supply chain analytics! In this role, you\'ll have the exciting opportunity to contribute to the development of data-driven tools and reports that will drive insights and enhance decision-making. If you\'re a fast learner with a passion for data analysis & data science and a desire to make a meaningful impact, this is the perfect role for you!

Responsibilities

• Develop and maintain reports and dashboards to provide critical insights into customer demand fulfillment and supply availability.
• Utilize advanced SQL querying techniques (Snowflake environment) for data extraction, manipulation, and analysis, ensuring data integrity and accuracy.
• Contribute to the development of forecasting models through the integration of diverse data sources, with potential involvement in the application of AI/ML methodologies.
• Design and implement interactive and automated dashboards that effectively visualize complex datasets for enhanced stakeholder understanding.
• Conduct ad-hoc analyses to support data-driven decision-making, identify trends, and provide actionable recommendations for supply chain performance improvement.
• Partner with cross-functional teams within supply chain operations to elicit data requirements and translate them into robust reporting solutions.
• Maintain awareness of industry best practices in data analytics, reporting methodologies, and visualization tools.
• Effectively communicate analytical findings, insights, and recommendations to relevant stakeholders.

Minimum Qualifications

• Bachelor\'s degree in Data Science, Business Analytics, Supply Chain Management, or a related quantitative discipline.
• Demonstrated experience in data analysis, including proficiency in SQL and familiarity with data visualization platforms (e.g., Tableau) and data warehousing solutions (e.g., Snowflake).
• Proven ability to analyze complex datasets, identify key insights, and develop practical solutions.
• Strong analytical and problem-solving skills.
• Effective communication and interpersonal skills to collaborate with cross-functional teams.
• Demonstrated capacity for rapid learning and adaptation to evolving business priorities.

Preferred Qualifications

• Prior experience within a supply chain environment, preferably in the high-tech sector.
• Expertise in developing complex SQL queries and optimizing data retrieval processes.
• Experience in the creation and deployment of data dashboards and visualizations.
• Exposure to AI/ML concepts and their application in analytical contexts.
• Proficiency in programming languages relevant to data analysis (e.g., Python).

Additional Skills

• Accountability
• Active Learning
• Active Listening
• Bias
• Business Reporting
• Coaching
• Compliance Management
• Creativity
• Critical Thinking
• Data Analysis Management
• Data Collection Management (Inactive)
• Data Controls
• Design Thinking
• Empathy
• Follow-Through
• Growth Mindset
• Intellectual Curiosity (Inactive)
• Long Term Planning
• Managing Ambiguity
• Personal Initiative
• Policy and procedures
• Process Improvements
• Quality Initiatives
• Regulatory Policies

What We Can Offer You

• Health & Wellbeing: We provide a comprehensive benefits suite supporting physical, financial and emotional wellbeing.
• Personal & Professional Development: We invest in your career with programs to help you reach your goals.
• Unconditional Inclusion: We are inclusive and value varied backgrounds, offering flexibility to manage work and personal needs.

Let\'s Stay Connected

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

Equal Employment Opportunity statements apply; HPE is an EEO/Protected Veterans/Individuals with Disabilities employer. We do not discriminate on the basis of race, gender, or any other protected category, and decisions are based on qualifications, merit, and business need.