Senior Business Systems Analyst

Join Boston Scientific as a Senior Business Systems Analyst

Additional Location(s): N/A

Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance

At Boston Scientific, you'll have the chance to tap into all of your skills by collaborating with diverse and high-performing teams to tackle some of the health industry's most important challenges. With access to cutting-edge tools, information, and training, we’ll support your career growth and skill development. Here, we empower you to grow and excel, regardless of your career ambitions.

About the Role

The Senior Business Systems Analyst operates within the Data Analytics Team under Manufacturing Software in Operations. Our team's mission is to leverage data as a strategic asset to enhance decision-making across various departments. We excel in data analysis, statistical modeling, and data visualization to provide actionable insights from complex datasets, empowering our organization with data-driven solutions that drive growth, boost efficiency, and inspire innovation.

The Senior Business Systems Analyst will integrate data sources to enable self-service report creation and accelerate analytics development using the Power BI platform. This role supports functional teams at Arden Hills by unifying data from diverse sources and functions to deliver metrics and insights that enhance visibility and improvements in Manufacturing Operations.

Your Responsibilities Will Include

• Customer Interaction: Collaborate with internal customers to determine data or report requirements and translate them into actionable reports for analysis.
• Data Modeling Leadership: Lead and manage data modeling initiatives on key projects to ensure alignment with organizational goals.
• Insight Generation: Use data to identify key organizational trends and collaborate with teams to uncover insights, trends, opportunities, interventions, and solutions that demonstrate business value.
• Collaboration: Work with solution teams to integrate data assets and optimize key technology processes.
• Technical Leadership: Provide guidance and leadership to junior data analysts and developers within the team.
• Integration: Collaborate with Analysts, Developers, Engineers, Data Architects, BI Developers, and Data Scientists to develop and integrate data, insights, and solutions.
• Evaluation and Innovation: Evaluate existing applications and systems, recommending improvements and opportunities for innovation.
• Performance Analysis: Conduct performance analysis and troubleshooting to identify bottlenecks and implement solutions for improved system performance.
• Data Modeling: Collaborate with data scientists and analysts to develop data models and structures for effective data analysis.
• Documentation: Create and maintain documentation, training materials, and user guides for data and analytics products.
• Continuous Improvement: Foster an environment of continuous improvement in line with Boston Scientific's Quality Policy, Quality System, and relevant regulations.
• System Support and Maintenance: Monitor data systems for optimal performance, manage incidents using ServiceNow or similar tools, perform routine maintenance, and provide user support.

Required Qualifications

• Bachelor’s degree in Analytics, Computer Science, or a related technical field.
• Minimum of 6+ years’ experience with advanced analytic techniques and data science.
• Experience with data modeling for large-scale cloud, MPP, and big data platforms (e.g., Postgres XL, Snowflake, Azure Synapse, Redshift).
• Proven experience with AWS services.
• Proficiency in programming languages like Python or R, and extensive experience with database technologies like SQL, NoSQL, and cloud-based storage solutions.
• Ability to develop plans and instructions for operating complex business systems with analytics and AI/ML strategies.
• Experience with big data programming languages and ETL technologies (e.g., Glue, SSIS, Alteryx).
• Experience with data visualization tools such as Power BI (Preferred), Tableau, or similar.
• Experience managing data analytics implementation and reporting projects.

Preferred Qualifications

• Working knowledge with AWS services such as S3, EC2, RDS, RedShift, Athena.
• Experience creating Data Warehouse and Data Lakes.
• Proficiency with data visualization tools such as BOBJ, SQL Server Reporting Service (SSRS), Tableau, PowerBI,