Senior Data Analyst – Manufacturing Data & Analytics (Eskilstuna , Sweden)

Aurora Engineering AB; Eskilstuna kommun; On-site; SEK 700,000 - 900,000; Full time

Job summary

Aurora Engineering AB is seeking an experienced Senior Data Analyst to join a growing manufacturing data team supporting digital products and data-driven initiatives. The role combines strong analytical abilities with hands-on engineering to build scalable data solutions that enable smarter business decisions.

You will analyze complex data, design scalable pipelines, and develop data models to support BI and reporting.

Qualifications

• Experience in SQL for advanced querying and data transformation.
• Hands-on Python for data engineering and analytics.
• Proven Databricks experience for large-scale processing.
• Strong data modeling and analytical data architecture knowledge.
• Experience with version control and DevOps practices.

Responsibilities

• Analyze complex data and provide actionable insights.
• Design and optimize scalable data pipelines and datasets.
• Develop SQL for data extraction and performance optimization.
• Build data models to support reporting and BI.
• Develop data solutions using Python and Databricks.

Skills

SQL

Python

Data modeling

Agile/Scrum

English fluency

Communication

Tools

Databricks

GitHub

Azure DevOps

Git

Job description

We are looking for an experienced Senior Data Analyst to join a growing manufacturing data team supporting digital products and data-driven initiatives. This role is ideal for someone who combines strong analytical capabilities with hands-on engineering experience to build scalable data solutions that enable smarter business decisions.

Key Responsibilities

• Analyze complex business data and provide actionable insights.
• Design, develop, and optimize scalable data pipelines and analytical datasets.
• Perform advanced SQL development for data extraction, transformation, and performance optimization.
• Build and maintain data models that support reporting, analytics, and business intelligence.
• Develop data solutions using Python and Databricks for large-scale data processing.
• Ensure high standards of data quality, consistency, and governance.
• Translate business requirements into technical data solutions.
• Collaborate with cross-functional teams in Agile/Scrum environments.
• Manage multiple workstreams while adapting to changing business priorities.
• Utilize Git-based version control and DevOps practices throughout the development lifecycle.

Required Skills & Qualifications

• Strong experience in SQL for advanced querying, optimization, and data transformation.
• Hands-on experience with Python for data engineering and analytics.
• Proven experience using Databricks and large-scale data processing platforms.
• Solid understanding of data modeling and analytical data architecture.
• Experience with Git, Azure DevOps, or GitHub.
• Ability to gather, analyze, and translate business requirements into technical solutions.
• Experience working in Agile/Scrum development teams.
• Excellent analytical, problem-solving, and communication skills.
• Fluent English, both written and spoken.

Preferred Qualifications

• Experience supporting manufacturing, industrial, or digital product environments.
• Knowledge of modern data engineering best practices and scalable analytics platforms.
• Experience working with cross-functional international teams.

Location

Eskilstuna, Sweden