myGwork - LGBTQ+ Business Community · 2 days ago

Senior Business Systems Analyst

Arden Hills, MN

Full-time

Onsite

Senior Level

6+ years exp

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Responsibilities

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, ensuring alignment with organizational goals

Insight Generation: Use data to highlight key organizational trends and collaborate with businesses to identify insights, trends, opportunities, interventions, and solutions that demonstrate business value

Collaboration: Work with solution teams to curate data asset integration and optimize key technology processes

Technical Leadership: Provide technical 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, modifications, 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 that enable effective data analysis and interpretation

Documentation: Design, develop, and maintain documentation, training materials, and user guides for data and analytics products

Continuous Improvement: Support a work environment of continuous improvement in line with Boston Scientific's Quality Policy, Quality System, and appropriate regulations for the areas supported

System Support and Maintenance: Monitor data systems for optimal performance, manage incidents using ServiceNow or similar tools, perform routine system maintenance, and provide user support to ensure seamless operation and availability of data services

Qualification

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Data ScienceData ModelingCloud PlatformsAWS ServicesProgramming LanguagesDatabase TechnologiesAI/ML StrategiesBig Data ProgrammingETL TechnologiesData Visualization ToolsProject ManagementAWSData WarehouseData LakesData VisualizationBOBJSQL Server Reporting ServiceTableauPowerBIQlikSQLDAXPower Query M

Required

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 and demonstrated skills with AWS services

Proficiency in programming languages such as 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, incorporating 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