Mid-Level Data Analyst – Observability and Telemetry (Digital Applications)

The Digital S/W Engineer Intmd Analyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the subfunction/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams.

Responsibilities: Turn tech stack and application design into code on multiple development platforms (e.g. iOS, Android, web/Angular, services). Address a variety of responses to problems, questions, or situations by applying established criteria to directly influence development outcomes. In doing so, use the right technology to solve technical challenges required to deliver small scale features and functions and / or supporting aspects of a larger program efforts. Responsible for applications systems analysis and programming activities that may include assisting with feasibility studies, time and cost estimates and implementation of new or revised applications systems and programs. Accountable for development, design, construction, testing and implementation and write secure, stable, testable and maintainable code. Expected to operate with autonomy, while some oversight and direction may be required. Engage in digital applications development, risk technology, Middleware, Mainframe applications, Non Mainframe applications, Analytic Model Development and Application support activities to meet specific business needs of user areas and to test systems to ensure integrity of deliverables. Expected to provide sound understanding of application development concepts and principles and a basic knowledge of concepts and principles in other technology areas. On occasion, may need to consult with users, clients and other technology groups on issues and recommend programming solutions for customer exposed systems. Take the time to fully learn the functionality, architecture, dependencies, and runtime properties of the systems involved with your projects. This includes the business requirements, applications/services, runtime operations (including trouble management/associated support strategies), and maintenance. Understand the business context and the associated customer use cases. Understand the team’s technologies and are able to evaluate system designs and architecture as you participate in solution discussions, development and the creation of application / systems documentation. Drive clarity into technical implementation by driving system build and performance discussions, providing technical context to team members as required and competently represent your team’s systems to others both inside and outside Digital. Occasionally need guidance from peers and / or manager as the team’s operating procedures and technology is well defined. Build and maintain integrated project development schedules that account for internal / external dependencies, differing SDLC approaches, numerous constraints, and adequately factor in contingency for unplanned delays. Negotiate features and associated priority and help the team and their customers reach consensus. Verbal and written communication is clear and concise. Clearly articulate development and timeline dependencies. Have good working relationships with team members, manager, and peers. Improve team development related processes that accelerate delivery, drive innovation, lower costs, and improve quality. Ensure self and peers are actively seeking ways to objectively measure productivity. (i.e., SonarQube Findbugs). This will include a focus on automating code quality, code performance, unit testing, and build processing in the CI/CD pipeline (RTC, Jenkins, RLM) Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications:

5+ years in an Apps Development role. Demonstrated execution capabilities. Strong analytical and quantitative skills; Data driven and results-oriented Experience in running high traffic, distributed, cloud based services Experience in affecting large culture change Experience leading infrastructure programs Skilled at working with third party service providers Excellent written and oral communication skills

We are seeking a highly analytical and detail-oriented  Mid-Level Data Analyst – Observability & Telemetry  to join our Digital Applications team. In this role, you will be responsible for monitoring, analyzing, and optimizing the performance, reliability, and health of our customer-facing digital applications.

You will work closely with development, DevOps, and Site Reliability Engineering (SRE) teams to implement robust observability practices. By leveraging  OpenTelemetry (OTel)  and  Global Cloud Observability (GCO)  frameworks, you will capture critical application metrics, logs, and distributed traces. You will translate this raw telemetry data into actionable insights, interactive dashboards, and proactive alerts using enterprise-scale platforms like  Splunk  or the  ELK Stack . The ideal candidate has a strong technical foundation in data analysis, a passion for system performance, and hands-on experience troubleshooting distributed microservices architectures.

Responsibilities Telemetry Implementation:  Assist application teams in instrumenting digital applications with OpenTelemetry (OTel) APIs, SDKs, and auto-instrumentation agents to collect high-quality metrics, logs, and traces. Dashboard & Alert Development:  Design, build, and maintain real-time operational dashboards and visualization tools in  Splunk  (using SPL) or  ELK (Kibana)  to monitor application health and key performance indicators (KPIs). Performance Analysis:  Analyze large volumes of telemetry data to identify performance trends, system bottlenecks, latency issues, and operational anomalies across distributed systems. Incident Support & Troubleshooting:  Support production support and SRE teams during incident investigations by utilizing distributed tracing and log correlation to perform rapid root cause analysis (RCA). Data Quality & Governance:  Ensure telemetry data is clean, structured, and compliant with enterprise logging standards and data retention policies. Collaboration:  Partner with software engineers to map end-to-end user journeys and ensure comprehensive monitoring coverage across HTTP/S APIs, microservices, and messaging queues (e.g., Kafka). Documentation:  Maintain clear documentation of telemetry configurations, dashboard designs, alerting thresholds, and monitoring best practices.

Requirements Education:  Bachelor’s degree in Computer Science, Information Technology, Data Analytics, or a related field (or equivalent practical experience). Overall Experience:  3 to 5 years of professional experience in data analysis, systems monitoring, application support, SRE, or a related technical role. Telemetry Experience:  Minimum 1+ years of hands-on experience working with  OpenTelemetry (OTel)  or  Global Cloud Observability (GCO)  frameworks (including tracing, metrics, and logs). Platform Experience:  Significant hands-on experience (2+ years) utilizing  Splunk  (writing search queries, creating alerts, building dashboards) or the  ELK Stack  (Elasticsearch, Logstash, Kibana). Infrastructure Awareness:  Familiarity with containerized environments such as  Kubernetes  or  Red Hat OpenShift , and basic cloud infrastructure concepts. Analytical Mindset:  Strong problem-solving skills with the ability to correlate disparate data points (logs, metrics, traces) to diagnose complex system behaviors.

Skills Technical Skills Observability Tools:  OpenTelemetry (OTel SDKs, Collectors), Splunk (SPL), ELK Stack (Kibana, Elasticsearch). Data & Query Languages:  Splunk Search Processing Language (SPL), Elasticsearch Query DSL, SQL. Scripting & Automation:  Basic scripting skills in Python, Bash, or PowerShell for data parsing and automation tasks. Architectural Understanding:  Understanding of microservices, REST APIs, and event-driven architectures (e.g., Apache Kafka). Development Basics:  Ability to read and understand basic application code (Java, Node.js, or Go) to assist with telemetry instrumentation. Soft Skills Collaboration:  Strong team player with the ability to work effectively across cross-functional engineering and operations teams. Communication:  Excellent written and verbal communication skills, with the ability to explain technical performance data to both technical and non-technical stakeholders. Attention to Detail:  High precision in configuring alerts and analyzing system metrics to prevent false positives/negatives. Education:

Bachelor’s/University degree or equivalent experience

Job Family Group: Technology

Job Family: Digital Software Engineering

Time Type: Full time

Most Relevant Skills Please see the requirements listed above.

Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.

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