Sr. Automation Data Analyst at Entrust

Shakopee, Minnesota, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Security, TechnologyIndustries

Requirements

Bachelor’s degree in Statistics, Data Engineering, Information Systems, Mathematics, or a related field
5+ years of overall experience as a data analyst, process analyst, or data engineer
Proficiency in SQL & Python
Proficiency in data visualization
Expertise in data analysis, data science, process optimization, AI/ML integration, workflow automation, and data lifecycle management
Passion for leveraging automation strategies to drive operational excellence and business growth

Responsibilities

Run advanced data engineering analysis to identify and quantify productivity opportunities
Leverage structured and unstructured data to uncover friction points in B2B/B2C self-service experiences and digital manufacturing
Use data to proactively optimize user journeys and reduce manual intervention
Develop robust data models and frameworks to track and measure automation initiatives, ensuring visibility, traceability, and alignment with automation maturity goals
Build dynamic data pipelines and visualization tools that interpret financial and behavioral data, empowering automation systems and stakeholders to monitor performance and make data-informed decisions
Create feedback loops and analytical models that guide prioritization of automation initiatives based on operational data, business impact, and continuous improvement opportunities
Author comprehensive data plans that align with automation strategy, covering data sourcing, integration, governance, and lifecycle management to support scalable automation deployment
Define, design, train, and validate machine learning models—such as recommendation engines, anomaly detection, and predictive analytics—that enhance automation capabilities and system intelligence
Use data to guide and monitor automation programs
Connect data objects across enterprise automation programs and systems
Develop, test, and deploy prompts required for workflow automations and quick data access
Lead AI application orchestration workflows
Integrate AI/ML models into automation pipelines to enhance decision-making and operational efficiency
Collaborate with cross-functional teams to gather data requirements, ensure implementation, and follow up on proper monitoring
Provide oversight and documentation to data produced by automation and report on overall automation programs and progress
Provide training and support to end-users and stakeholders on data
Head the intelligent automation data practice involving cross-functional collaboration to address business challenges with data-driven solutions