Data Analytics Engineer

The Amatriot Group; City of Rensselaer (NY); On-site; USD 90,000 - 105,000; Full time

Job summary

The Amatriot Group is seeking a Data Analytics & Metrics Engineer in Albany, NY, to join our NYSoH partnership. You will leverage data analytics, observability, scripting automation, and enterprise app administration to boost operational efficiency, reliability, and data-driven decision making.

You will lead initiatives to enhance monitoring and analytics across complex, multi-tier environments, transform operational data into insights, automate repetitive tasks, and improve performance.

Qualifications

• Bachelor’s degree required or equivalent experience.
• 5+ years of IT operations, data analytics, or related technical discipline.
• Strong hands-on experience with Splunk Enterprise/Dynatrace, SPL, log analysis, dashboards, reporting, and monitoring.
• Scripting or programming experience in Python, Shell/Bash, Java, or similar.
• Experience troubleshooting enterprise apps, logs, and root cause analysis.
• Familiarity with MuleSoft integrations, REST APIs, JSON payloads, API monitoring, and HTTP status-code analysis.
• Experience with Twilio APIs, messaging integrations, or delivery monitoring.
• Excellent analytical, problem-solving, and communication skills.
• Ability to produce technical docs, dashboards, reusable scripts, and repeatable support procedures.
• Ability to collaborate across development, infrastructure, operations, and business teams.

Responsibilities

• Define a roadmap for expanding operational analytics, monitoring, and automation across applications and infrastructure.
• Replace manual analysis with automated scripts and data-driven processes.
• Set standards for log analytics, data extraction, and dashboards.
• Design and optimize Splunk searches, dashboards, and alerts for health and performance.
• Analyze large volumes of logs and API events to identify trends and issues.
• Develop SPL queries to aggregate events and compare temporal trends.
• Establish KPIs for error rates, reliability, and incident trends.
• Translate complex log data into actionable recommendations for tech and management.
• Create automation using Python, Shell/Bash, and Java to streamline data processing.
• Develop reusable scripts to reduce manual effort and accelerate troubleshooting.
• Automate recurring reports, file analysis, and operational data processing.
• Integrate automation with monitoring, support, and deployment processes.
• Define standards for coding, scheduling, error handling, and maintenance of automation.

Skills

Data analytics

SPL

Python

Shell/Bash

Java

Dashboard development

Log analysis

API monitoring

Troubleshooting

Communication

Education

Bachelor’s degree in related discipline

Tools

Splunk Enterprise

Dynatrace

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

• 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

Location: Albany, NY

Job Type: Full-Time

Target Salary Range*: $90,000-$105,000

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.