We are looking for a Business Systems Analyst to join our team
Minimum qualifications:
- Bachelor’s degree in Computer Science or related technical field, or equivalent practical experience.
- 8 years of experience designing and implementing systems.
- 8 years of experience building integrated systems throughout the entire lifecycle (e.g., analyze, design, build, test, implement, and support).
- Experience in implementing Analytics and Reporting solutions like Data Warehousing, Business Intelligence etc.
Preferred qualifications:
- Experience in creating and scaling new opportunities to improve domain critical Key Performance Indicators (KPI).
- Experience working with and influencing cross-functional leaders to define requirements and manage technical portfolios.
- Experience with third-party data centric Enterprise Resource Planning (ERP) applications within Finance, Supply Chain, HR, Marketing etc.
- Experience working with advanced analytics solutions involving Machine Learning (ML) and statistical analytics.
- Understanding of one or more data management practices like Data Integration, Data Security, Metadata Management, Data Governance and Data Quality.
- Excellent technical process analysis skills to translate business requirements into comprehensive solution architecture.
Responsibilities
- Take ownership over projects, continue to track and maintain progress, mitigate risks, manage unpredictability, keep teams and clients updated, and manage stakeholders and escalations, coordinate testing, and work with Engineering teams to deploy applications all the way to launch.
- Work with stakeholders and users to gain insights into business problems, processes, and applications to provide sustainable solutions with strategic impact through building business applications, delivering systems enhancements, and designing solutions to automate and scale business operations.
- Collaborate with Engineering teams to define, design, build, deploy, and support various solutions to systems, software products, and internal transformative programs and processes.
- Define the data architecture framework, standards, and principles, including modeling, metadata, security and reference data.
- Define reference architecture that others can follow to create and improve data systems.
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