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