Business Operations Analyst

Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software.

About the Role

We are seeking a skilled and proactive Business Operations Analyst, a.k.a Data Orchestrator, to join our data and technology team. In this role, you will be responsible for designing, implementing, and maintaining robust data pipelines and orchestration workflows that ensure seamless data flow across our systems. You will collaborate closely with data analysts and business stakeholders to support data-driven decision-making and operational efficiency.

Key Responsibilities

• Design, develop, and maintain ETL workflows across Oracle, SQL Server and Snowflake
• Build and automate data pipelines using Alteryx, Tableau Prep, dbt, and Python
• Collaborate with cross-functional teams to optimize business processes and enhance operational efficiency
• Analyze complex data sets and generate actionable insights to support strategic initiatives
• Coordinate and manage data-related projects, ensuring timely delivery and alignment with business goals
• Serve as a liaison between technical teams and business users to gather requirements and translate them into data solutions
• Conduct regular audits to ensure data process integrity, compliance, and risk mitigation
• Provide training and support to end users on data tools and processes
• Maintain comprehensive documentation of workflows, procedures, and best practices
• Stay current with industry trends and recommend innovative solutions to improve data operations

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field
• 4-6 years of experience in data engineering, data orchestration, or ETL development
• Strong proficiency in Python and SQL
• Hands-on experience with Alteryx, Tableau Prep, dbt, and orchestration tools
• Experience with cloud platforms (Snowflake) and associated data services
• Familiarity with CI/CD practices and version control systems (e.g., Git)
• Solid understanding of data governance, security, and compliance principles
• Strong analytical and problem-solving skills with attention to detail
• Excellent communication and collaboration abilities

• Ability to work with complex data sets and identify internal process trends and opportunities
• Ability to prioritize tasks in a fast-paced, dynamic environment
• Experience with web applications and process development (Node.js, PowerApps, Power Automate) is a plus