Associate Professional Analyst - Data Processing; Batch Opera

Qualifications

• Bachelors degree or equivalent experience in data operations, ETL, Batch, etc. preferably in the financial services industry providing high-performing, high-availability solutions.
  • Experience with commercial scheduling tools including AutoSys, BMC Control M, or similar tools.• Expertise in AWS including Airflow supporting cloud-based ETL and Real-Time data pipelines and frameworks.• Excellent communication skills and the ability to effectively interact across the IT and business organization, working effectively to achieve results.• Experience with ServiceNow modules including Incident, Service Request, Change, Problem, Knowledge Management, and reports.

. 5-7 years of experience in the required areas.

Responsibilities

• Responsible for data management (validating incoming data sources, data integration/compilation, distribution).
  • Ensuring best-in-class data quality/accuracy; building/tracking data accuracy KPIs for insights for product/data Eng Teams.• Establishing batch/ETL job lineage processes/ensure adherence to policies.• Ensuring operational controls are in place/working with the Data Eng.• Overseeing the integration of all inbound/outbound data sources.• Identifying actionable improvements and optimizations to support growing complexity and demand.• Hands-on approach to user community data/report training and problem/resolution management.• Monitor, triage, and assign data operations work captured through IT service desk, IT Demand intake, IT Business Partner, and other data and analytics demand intake channels.• Creating frameworks and methodologies for deploying Data Ops solutions.• Contributing to the vision and strategy for the Data Ops practice, including setting development roadmaps, participating in new business, and identifying growth or efficiency opportunities.• Promoting a culture of process documentation, strong data governance and operational efficiencies.• Integrate reports, key performance indicators (KPIs), metrics packages and related information for technology team leadership.• Identify alternative ETL solutions when it becomes evident that existing hardware/software solutions would not handle a large amount of data.