Senior Data & AI Analyst for Strategic Insights

Innio; Jenbach; Hybrid; EUR 60.000 - 90.000; Vollzeit

Benefits dieser Stelle

Flexible hours

Health program

Moving support

Public transport access

Transportation cost support

Canteen

Alps location

Zusammenfassung

INNIO is seeking a Data Analyst focused on Data & AI to drive data-driven management steering. You will analyze large datasets, define KPIs, and develop sustainable data products supporting strategy.

50% presence at the Jenbach site with flexible working time and strong collaboration across teams. You should have a university degree in a related field and 3+ years of data analytics experience, with Python and SQL proficiency and knowledge of Databricks a plus.

Qualifikationen

• Completed university studies in a data-related field (e.g., Data Science, CS, Statistics).
• 3+ years of professional experience in data analytics or a related field.
• Strong Python and SQL skills and ability to analyze large datasets.

Aufgaben

• Execute analyses on large and diverse datasets to identify trends and insights.
• Identify data sources, quality issues, and data dependencies across data products.
• Translate business questions into data requirements, metrics and solutions.
• Develop proofs-of-concept to validate analytical approaches.
• Interpret results and provide actionable recommendations for decision-making.
• Collaborate with stakeholders to understand needs and ensure right business problems are addressed.
• Work with technical teams to connect analytics with data products and dashboards.

Kenntnisse

Python

SQL

Analytical thinking

Communication

English proficiency

Ausbildung

University degree in data science / related field

Tools

Databricks

Jobbeschreibung

INNIO is seeking a Data Analyst focused on Data & AI to drive data-driven management steering. You will analyze large datasets, define KPIs, and develop sustainable data products supporting strategy.

50% presence at the Jenbach site with flexible working time and strong collaboration across teams. You should have a university degree in a related field and 3+ years of data analytics experience, with Python and SQL proficiency and knowledge of Databricks a plus.