Overview
Skills
Job Details
Overview
We are seeking a Senior Analyst - Batch Operations to join our team and support enterprise-level data operations and batch processing. The ideal candidate will have strong expertise in ETL processes, scheduling tools, cloud-based frameworks (AWS/Airflow), and ServiceNow modules, with a proven track record in managing high-performing, high-availability solutions. This role requires close collaboration across IT and business teams to ensure seamless data operations and continuous improvement.
Qualifications
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Bachelor s degree in Computer Science, Information Systems, or equivalent experience in data operations, ETL, and batch processing (financial services industry experience preferred).
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Hands-on experience with scheduling tools such as AutoSys, BMC Control-M, or equivalent.
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Strong expertise in AWS services, including Airflow, supporting cloud-based ETL and real-time data pipelines.
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Proficiency in ServiceNow modules: Incident, Service Request, Change, Problem, Knowledge Management, and reporting.
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Excellent communication and interpersonal skills; able to interact effectively with IT and business stakeholders.
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Strong analytical and problem-solving skills, with the ability to deliver high-quality and accurate solutions under pressure.
Responsibilities
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Manage data operations including validation of incoming data sources, data integration, compilation, and distribution.
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Ensure data quality and accuracy; establish KPIs and dashboards for monitoring and reporting.
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Define and enforce batch/ETL job lineage processes to ensure compliance with policies.
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Collaborate with data engineering teams to implement and maintain operational controls.
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Oversee the integration of inbound/outbound data sources to ensure reliability and scalability.
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Identify opportunities for optimization and automation to support increasing complexity and business demand.
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Provide training and user support for data/reporting issues and resolution management.
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Monitor, triage, and assign data operations work via IT service desk, IT demand intake, and business partner channels.
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Develop frameworks and methodologies for deploying DataOps solutions.
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Contribute to the vision and strategy of DataOps, including roadmaps, growth opportunities, and efficiency improvements.
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Promote a strong culture of documentation, governance, and operational excellence.
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Consolidate and deliver reports, KPIs, and metrics for leadership visibility.
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Recommend alternative ETL solutions when existing hardware/software cannot handle scale or complexity.
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