Data Analytics Engineer

The Amatriot Group; Hampton Park (NY); On-site; USD 100,000 - 150,000; Full time

Job summary

The Amatriot Group in New York State is seeking a Data Analytics & Metrics Engineer to transform data into actionable insights. You will enhance monitoring, automate routines, and improve operational efficiency across multi-tier environments.

Collaborate with development, infrastructure, and business teams to drive reliability and performance. You will develop SPL-based analytics, dashboards, and reports; automate data extraction, log processing, and system checks using Python, Shell, and Java;

Qualifications

• Bachelor's degree in a related discipline.
• 5+ years in IT operations, data analytics, or related technical fields.
• Hands-on Splunk/Dynatrace, SPL, dashboards, and monitoring experience.
• Scripting in Python, Shell/Bash, Java; automation know-how.
• Experience troubleshooting enterprise apps and log analysis.
• Familiarity with REST APIs, JSON, API monitoring, and HTTP codes.

Responsibilities

• Define and implement a roadmap for analytics, monitoring, and automation.
• Automate repetitive tasks with scripts and data-driven workflows.
• Set standards for log analytics, data extraction, and dashboards.
• Design and optimize Splunk searches, dashboards, alerts for health and trends.
• Analyze large log volumes, API transactions, and infra events for patterns.
• Develop advanced SPL queries for trend comparisons and normalization.
• Establish operational KPIs and incident performance metrics.
• Translate log data into clear insights for tech teams and leadership.
• Create automation solutions with Python, Shell, and Java.
• Develop reusable scripts to reduce manual effort and speed troubleshooting.
• Integrate automation with monitoring, support, and deployment processes.

Skills

SPL (Splunk SPL)

Log analysis

Dashboards & reporting

Operational monitoring

Automation scripting

Observability

Data analytics

Proactive issue detection

Documentation

Communication

Education

Bachelor's degree in related discipline

Tools

Splunk

Dynatrace

Python

Shell/Bash

Java

REST APIs

JSON

Jira

Git

CI/CD

SFTP

SQL

Job description

*This represents the potential salary range for this position depending on education level, years of experience and/or certifications in addition to other position specific requirements which may impact salary

Position Overview:

The work you'll do will be impactful to the mission of our NYS customer. You will play a crucial role as you join our team in partnership with New York State of Health (NYSoH) to provide comprehensive health coverage to more than 7.0 million New Yorkers through its Health Benefit Exchange (HBE)

Transform technology into opportunity as a Data Analytics & Metrics Engineer. In this role, you will leverage data analytics, observability, scripting automation, and enterprise application administration to improve operational efficiency, application reliability, and data-driven decision-making.

You will lead initiatives to strengthen monitoring and analytics capabilities across complex, multi-tier application environments. You will transform operational data into actionable insights, automate repetitive processes, and improve the performance.

The ideal candidate combines strong analytical and troubleshooting skills with hands‑on technical expertise, automation capabilities, and the ability to collaborate across application development, infrastructure, integration, and business teams.

Key Responsibilities:

• Define and implement a roadmap for expanding operational analytics, intelligent monitoring, and automation across enterprise applications and infrastructure.
• Identify opportunities to replace manual analysis and repetitive operational tasks with reusable scripts, automated workflows, and data-driven processes.
• Establish standards for log analytics, data extraction, error analysis, reporting, and operational dashboards.
• Design, develop, and optimize Splunk searches, dashboards, reports, and alerts to monitor application health, system performance, and operational trends.
• Analyze large volumes of application logs, HTTP status codes, API transactions, and infrastructure events to identify patterns, anomalies, and recurring issues.
• Develop advanced SPL queries to aggregate events, normalize dynamic URL paths, identify high-volume failures, and compare daily, weekly, monthly, and quarterly trends.
• Establish operational KPIs and metrics to measure error rates, application reliability, incident trends, and service performance.
• Translate complex log data into clear insights and actionable recommendations for technical teams and management.
• Design and implement automation solutions using Python, Shell/Bash scripting, and Java to streamline data extraction, log processing, system checks, reporting, and operational workflows.
• Develop reusable scripts and utilities to reduce manual effort, improve consistency, and accelerate troubleshooting.
• Automate recurring reports, file analysis, exception identification, and operational data processing.
• Integrate automation with existing monitoring, application support, and deployment processes.
• Establish coding, documentation, scheduling, error-handling, and maintenance standards for reliable automation.
• Define meaningful operational metrics and reporting standards to support proactive issue detection and continuous improvement.
• Identify trends in incidents, system errors, integration failures, and file-transfer activity.
• Present analytics findings, risk indicators, and improvement opportunities to technical leadership and business stakeholders.
• Promote knowledge sharing, technical documentation, automation reuse, and continuous improvement across teams.
• Evaluate the effectiveness of automation and analytics initiatives using measurable outcomes such as time saved, reduced manual effort, faster incident investigation, and improved monitoring coverage.

Qualifications:

• Bachelor's degree in related discipline
• 5+ years of progressive experience in IT operations, data analytics, application support, systems administration, software engineering, or a related technical discipline.
• Strong hands‑on experience with Splunk Enterprise/Dynatrace, SPL, log analysis, dashboards, reporting, and operational monitoring.
• Demonstrated scripting or programming experience using Python, Shell/Bash, Java, or comparable automation technologies.
• Experience troubleshooting enterprise applications, analyzing logs, identifying recurring issues, and performing root cause analysis.
• Familiarity with MuleSoft integrations, REST APIs, JSON payloads, API monitoring, and HTTP status‑code analysis.
• Experience with Twilio communication APIs, messaging integrations, notification workflows, or delivery monitoring.
• Strong analytical and problem‑solving skills, with the ability to translate technical findings into actionable recommendations.
• Experience developing technical documentation, operational reports, reusable scripts, and repeatable support procedures.
• Excellent communication and collaboration skills, with the ability to work across development, infrastructure, operations, and business teams.

Preferred Qualifications:

• Experience administering or supporting JBoss / JBoss EAP application environments.
• Advanced Splunk SPL skills, including regular expressions, field extraction, event correlation, statistical aggregation, time‑based comparisons, and dashboard development.
• Experience automating operational processes, reporting, file analysis, or system administration tasks using Python and Shell scripting.
• Familiarity with Java-based enterprise applications, Linux/Unix administration, SFTP workflows, and production support.
• Experience with SQL, relational databases, Git, Jira, CI/CD tools, or cloud monitoring platforms.
• Knowledge of incident management, problem management, release coordination, and service reliability practices.
• Experience mentoring technical team members, coordinating cross‑functional initiatives, or leading technical improvement projects.
• Familiarity with healthcare, government, or other enterprise environments requiring strong operational controls and documentation.