Sr. Data Analyst

Entrust-posted 3 months ago
$87,117 - $127,772/Yr
Full-time • Mid Level
1,001-5,000 employees
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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.

  • 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.
  • 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.
  • 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.
  • 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.
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