Enterprise Data & Analytics Analyst – Platform Engineering

Jobtailor; Deutschland; Vor Ort; EUR 65.000 - 95.000; Vollzeit

Zusammenfassung

Jobtailor is seeking an experienced Enterprise Data & Analytics Platform administrator to oversee operations, quality assurance, and the platform’s toolchain. You will lead modernization efforts, manage new technologies, and transition legacy data systems in line with the EDAP strategy.

The role requires a solid BI background, multiple certifications, and the ability to communicate effectively with management.

Qualifikationen

• Bachelor’s degree in CS, IS, data science or related field.
• Snowflake Foundation Course is required.
• AWS Cloud Foundation Course is required.
• SAP BO WebI 4.2 certification is required.
• Tableau Desktop Specialist or equivalent is required.
• ThoughtSpot Professional certification, or ability to obtain within 1 year.
• 2+ years in BI/platform administration or data engineering roles.
• Experience with data visualization and reporting tools.
• Strong communication skills with stakeholders.
• Ability to deliver presentations to large groups.

Aufgaben

• Operational management and QA of the Enterprise Data & Analytics Platform (EDAP) and its toolchain.
• Manage new technologies and transition legacy data & analytics systems per roadmap.

Kenntnisse

2+ years experience

Strong communication

Independent worker

Presentation skills

Attention to detail

Multi-tasking

Ausbildung

Bachelor’s degree in CS or related

Snowflake Foundation Course

AWS Cloud Foundation Course

SAP BO WebI 4.2 cert

Tableau Desktop Specialist

ThoughtSpot Professional

Tools

Snowflake

Tableau

ThoughtSpot

SAP BusinessObjects Web Intelligence

AWS

Jobbeschreibung

Responsibilities

• Operational management and platform quality assurance of the Enterprise Data & Analytics Platform (EDAP) and its corresponding technology toolchain.
• Manage both new technologies and capabilities as well as transitioning legacy systems for data & analytics as identified in the FHB Enterprise Data & Analytics strategy and roadmap.

Requirements

• Bachelor’s degree in computer science, information systems, data science, mathematics, or quantitative analysis required.
• Snowflake Foundation Course required.
• AWS Cloud Foundation Course required.
• SAP Certified Application Associate – SAP BusinessObjects Web Intelligence 4.2 required.
• Tableau Desktop Specialist or equivalent required.
• ThoughtSpot Professional or equivalent required (Certifications: If not already obtained, required to obtain within 1 year of employment).
• 2+ years of relevant work experience, preferably in business intelligence, platform administration/reporting, or data engineering roles with increasing responsibilities and data & analytics tool capabilities.
• Required experience may be obtained concurrently. 1 year of relevant data platform experience can be substituted with higher education qualifications in the areas of concentration above.
• Working knowledge of database constructs, report writing/visualization, and spreadsheet applications.
• Strong verbal, interpersonal and written communication skills essential to communicate with all levels of management and influencing skills to articulate, motivate and engage internal and external stakeholders.
• Ability to deliver presentations in front of a large group when necessary.
• Self‑motivated, organized to handle multiple tasks simultaneously, able to work independently with high level general supervision.
• Ability to multi‑task effectively and manage multiple competing deadlines with a professional demeanor.
• Ability to apply effective critical thinking skills towards complex problems and offer logical solutions.
• Strong attention to detail with high levels of accuracy.
• Ability to build trust and handle confidential matters judiciously.
• Effective collaborator with the ability to use judgment and discretion and make decisions when required.

Core Competencies

Demonstrates expertise in operational management and quality assurance of data and analytics platforms, with a strong foundation in data visualization and reporting tools. Proficient in leveraging cloud technologies and data engineering practices to enhance platform capabilities and support business intelligence initiatives.