Analytics Engineer

Plansee Group

. Translate business requirements into reliable data models and analytics solutions .

Posted 10/27/2026full-timeReutte • AustriaMid-LevelSenior💰 €45,738 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data modeling, analytics solutions, and integrating diverse data sources to support business processes. Proficient in SQL and Python, with strong communication skills and a structured approach to translating business requirements into actionable data-driven insights.

Highest-signal resume keywords

Data ModelingSQLPythonData AnalysisBusiness Process Optimization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IntegrationAnalytics SolutionsData Quality ManagementProcess MiningData Governance

Soft Skills

Excellent Communication SkillsInitiativeStructured Approach

Tools & Technologies

Modern Data PlatformsAnalytics Tools

Industry Keywords

Business Information SystemsData EngineeringData Analytics

Tech Stack

Tools & technologies

PythonSQLTypeScript

About the role

Key responsibilities & impact

Translate business requirements into reliable data models and analytics solutions
Integrate and model data from a range of sources
Build a high-quality data foundation for analysis, reporting, and business process optimization
Collaborate with subject-matter experts, business units, data scientists, and analysts to define requirements and integrate, prepare, and analyze relevant data
Design, develop, and continuously enhance data models for various business processes and analytics use cases
Develop, deploy, and support analytics, process mining, and reporting solutions in collaboration with business teams
Integrate and further develop existing data pipelines for analytics and reporting applications
Contribute to data quality, access management, and governance concepts
Further develop the data and analytics landscape and evaluate new technologies and solution approaches

Requirements

What you’ll need

Completed degree with a focus on (business) information systems, data engineering, engineering, mathematics, or a comparable qualification, along with initial relevant professional experience in data and analytics
Experience or interest in data analysis, data modeling, and integrating different data sources; knowledge of SQL and Python is an advantage
Interest in modern data and analytics platforms and a willingness to play an active role in their ongoing development
Strong understanding of business relationships and processes, as well as the ability to translate business requirements into data-driven solutions
Proficiency in German and English
Excellent communication skills, initiative, and an independent, structured approach to work

Benefits

Comp & perks

Take on responsible tasks at an international industrial company distinguished by innovation and sustainability
We invest in our own talent when filling key positions—8 out of 10 leadership roles are filled internally
Attractive location in the heart of the Alps; subject to availability, we offer company housing
Work-life balance: Flexible working hours and the option to work remotely part of the time
We are already planning for tomorrow: A strong company pension plan and many additional benefits