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Why Mizuho At Mizuho, we provide the stability of an international industry leader with the career trajectory of a growing business. Our steady, strategic growth gives our people at all levels rewarding degrees of responsibility and richer work experience than a boutique firm or an established giant could offer alone. Its the local expertise of our employees that makes our global network so powerful. By collaborating with colleagues and clients who share the same ambition and drive, you can amplify your sphere of influence and base of knowledge as part of one of the largest banks in the world. We are seeking a highly skilled and motivated Data Analytics L2 Support Engineer to join our production support team. The ideal candidate will be responsible for providing Level 2 support for data analytics and business intelligence platforms, with a strong focus on incident management, production stability, and operational excellence across reporting, semantic models, and analytics solutions. In addition to core L2 support responsibilities, this role operates within the Analytics Center of Acceleration (COA) model, supporting not only production stability but also contributing to continuous improvement, platform scalability, and BAU (Business-as-Usual) analytics development activities. The engineer will play a dual role in ensuring system reliability while enabling incremental enhancements, small feature builds, and optimization of existing analytics solutions aligned with COA standards. This role is centered on hands-on L2 production support, including monitoring scheduled and batch jobs, reviewing job execution statuses, and troubleshooting failures across ETL pipelines, data warehouses, and reporting layers. The engineer will act as a key escalation point for L1 support, performing root cause analysis, implementing temporary and permanent fixes, and coordinating with engineering, infrastructure, and vendor teams to resolve production incidents within defined SLAs. The Data Analytics L2 Support Engineer will also handle intraday user inquiries, investigate data quality and reporting discrepancies, and validate data corrections before and after production deployments. A strong understanding of data warehousing concepts, ETL processes, and analytics workflows is essential. Experience supporting business intelligence toolsparticularly Power BIin a production environment is required. This position requires close collaboration with U.S.-based business users, business analysts, and development teams, working across time zones from an India-based support location to translate business-reported issues into technical diagnoses and clearly communicate status, impact, and resolution. Strong analytical thinking, attention to detail, and the ability to operate effectively in a high-availability, production support environment are critical for success. Key Platform and Technology Expertise Snowflake cloud data platformPower BI reporting and analyticsEnterprise job scheduling tools (ie. Tidal)Power BI Report Scheduler (PBRS)Microsoft SQL ServerEnterprise data warehousing concepts and architecturesSemantic model development and tooling (ie. Cube Dev) Key Responsibilities: Own Level 2 incident management for enterprise data analytics platforms, ensuring timely diagnosis, containment, and resolution of production issues in accordance with SLA and regulatory expectations.Perform deep technical triage and root cause analysis of recurring and highseverity incidents across data ingestion, transformation, semantic models, and reporting layers.Drive problem management activities, including trend analysis, identification of systemic weaknesses, and implementation of preventative controls to improve platform stability.Monitor and govern batch, scheduled, and intraday analytics workloads, ensuring successful completion of critical financial reporting and downstream dependencies.Execute controlled data remediation and validation activities, ensuring accuracy, reconciliation, and auditability of corrected data in production environments.Partner with development and infrastructure teams to design and implement permanent fixes, reducing operational risk and repeat incidents.Support production change activities, including validation of fixes, deployment readiness checks, and postimplementation verification.Act as a technical liaison to business stakeholders, translating business impact into actionable technical insight and providing clear, riskaware communications.Maintain comprehensive incident, problem, and resolution documentation, supporting audit readiness, operational transparency, and continuous improvement.Contribute to operational governance, adhering to ITIL-aligned processes for incident, problem, and change management in a regulated financial services environment.Support BAU analytics development and enhancement activities, including minor feature builds, report optimization, and .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.