Data Analytics/Metrics Engineer

DataStaff, Inc.; City of Albany (NY); On-site; USD 83,000 - 138,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Paid vacation

Sick leave

Holidays

401(k) retirement plan

Job summary

DataStaff, Inc. in Albany, NY is seeking a Data Analytics/Metrics Engineer for a long-term contract opportunity.

You will use data analytics, observability, scripting, automation, and enterprise application administration to improve operational efficiency, application reliability, and data-driven decision-making. You will design, develop, and optimize monitoring dashboards and automated workflows across multi-tier environments, translating logs and metrics into actionable insights for tech and

Qualifications

• 5+ years in IT ops, analytics, or app support with data-driven focus.
• Strong skills in log analysis, dashboards, and monitoring.
• Experience turning technical findings into actionable recommendations.

Responsibilities

• Define and implement a roadmap for expanding operational analytics and automation.
• Develop and optimize SPL queries to monitor health, performance, and trends.
• Translate log data into clear insights for technical teams and management.
• Design automation solutions using Python, Shell/Bash, and Java.
• Create reusable scripts to reduce manual effort and accelerate troubleshooting.

Skills

Analytical thinking

Problem solving

Communication

Team collaboration

Tools

Splunk

Dynatrace

Python

Shell/Bash

Java

Job description

DataStaff, Inc. is seeking a Data Analytics/Metrics Engineer for a long-term contract opportunity with one of our direct clients in Albany, NY

Job Description:

The Data Analytics/Metrics Engineer will use data analytics, observability, scripting, automation, and enterprise application administration to improve operational efficiency, application reliability, and data-driven decision-making. You will strengthen monitoring and analytics capabilities across complex, multi-tier application environments, transform operational data into actionable insights, automate repetitive processes, and improve 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.

What you'll do

• 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.
• Promote an automation-first mindset and encourage continuous improvement.
• Establish measurable objectives for analytics quality, monitoring coverage, and operational efficiency.
• Communicate technical risks and analytical findings clearly to management and stakeholders.
• Prioritize initiatives based on business impact, operational risk, and potential efficiency gains.
• Encourage collaboration, technical development, knowledge sharing, and standardized engineering practices.
• Improve operational visibility, use of Splunk analytics, manual-effort reduction through scripting automation, application issue identification, reporting accuracy, and reliability across enterprise application and integration environments.

What you'll bring

• 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.

Nice to have

• 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.

DataStaff offers W-2 employment opportunities with a competitive benefits package. Many of our positions include medical, dental, and vision insurance, plus paid vacation, sick leave, and holidays. Recognizing that many of our assignments are long-term, DataStaff also offers a 401(k) retirement savings plan, with employees becoming eligible after six months of employment.