Sr Analyst Batch Operations

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 Service Now 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.

• Bachelor’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 Auto Sys, BMC Control-M, or equivalent.

• Strong expertise in AWS services, including Airflow
  , supporting cloud-based ETL and real-time data pipelines.

• Proficiency in Service Now 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 Data Ops solutions.

• Contribute to the vision and strategy of Data Ops
  , 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.