Sr. Data Analyst

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At Entrust, we’re shaping the future of identity centric security solutions. From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep the world moving safely.  

   

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Headquartered in Minnesota, Entrust is an industry leader in identity-centric security solutions, serving over 150 countries with cutting-edge, scalable technologies. But our secret weapon? Our people. It’s the curiosity, dedication, and innovation that drive our success and help us anticipate the future. 

Position Overview: Sr. Automation Data Analyst
Entrust seeks a technically skilled senior analyst in automation and data strategy to head its intelligent automation data practice. This role involves cross-functional collaboration to address business challenges with data-driven solutions. Candidates should have expertise in data analysis, data science, process optimization, AI/ML integration, workflow automation, and data lifecycle management. A passion for leveraging automation strategies to drive operational excellence and business growth is essential.

Position Overview: Sr. Automation Data Analyst

Entrust seeks a technically skilled senior analyst in automation and data strategy to head its intelligent automation data practice. This role involves cross-functional collaboration to address business challenges with data-driven solutions. Candidates should have expertise in data analysis, data science, process optimization, AI/ML integration, workflow automation, and data lifecycle management. A passion for leveraging automation strategies to drive operational excellence and business growth is essential.

Data Engineering 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.

Automation Responsibilities

• 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 the proper monitoring.
• Provide oversights 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.

Basic Qualifications

• Bachelor’s degree in Statistic, Data Engineering, Information Systems, Mathematic, or a related field.
• 5+ years of overall experience as a data analysts, process analyst or data engineer.
• Proficiency in SQL & Python is essential.
• Proficiency in data visualization tools (e.g., Quicksight, Power BI) to present complex data insights effectively.
• Proven experience in business process automation, workflow design, and AI-driven automation.
• Experience with advanced prompt engineering techniques.
• Excellent communication skills, enjoys leading data initiatives across multiple funct