Sr. Data Analyst

Entrust

130d • $87,117 - $127,772

About The Position

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.

Requirements

• Bachelor’s degree in Statistic, Data Engineering, Information Systems, Mathematic, or a related field.
• 5+ years of overall experience as a data analyst, 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 functional areas and articulating findings to leadership and insights teams.

Nice To Haves

• Exposure with experience Azure AI foundry and Copilot Studio.
• Previous experience using orchestration platforms similar to n8n, LangChain and LangGraph.
• Experience with LLM-based applications leveraging RAG, fine tuning and prompt chaining.
• Familiarity with enterprise security frameworks, threat modeling, data governance and compliance standards in automation environments.

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 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.

Benefits

• Comprehensive health and well-being programs including medical, vision, dental.
• Generous 401(k) matching contribution.
• Life and disability insurance.
• Mental health coaching.
• Virtual fitness programs.
• Paid personal time off plus 12 paid holidays.
• Parental leave.
• Education reimbursement.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees