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.

You will collaborate closely with business stakeholders, data engineers, and cross-functional Agile teams to transform complex business requirements into robust analytical solutions.

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