Senior Data & Automation Engineer
Salary undisclosed
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Job Responsibilities
- Lead and support automation and workflow initiatives, focusing on process design and automation using tools like Kube 365, Microsoft Forms, OrangeFin, and Power Automate.
- Assist users in developing dashboards and reports using Microsoft PowerBI.
- Collaborate with the Data Operations team to analyze and visualize data across the enterprise, identifying ways to leverage it for business insights.
- Design and optimize workflows and e-forms, assessing current tools and proposing new solutions as needed.
- Perform business requirements analysis, focusing on automating and optimizing business processes.
- Develop and maintain RPA jobs and BPM processes, ensuring their efficiency and functionality.
- Gather and analyze business requirements, translating them into specifications for automation and process improvements.
- Serve as a Subject Matter Expert (SME) for advanced reporting and dashboard development.
- Research and evaluate emerging tools and technologies to enhance workflow automation and RPA capabilities.
- Collaborate with stakeholders to identify opportunities for improving business processes and driving data-driven solutions through automation and analytics.
Job Requirement
- Bachelor’s Degree in Business, IT, Computer Science, Workflow & RPA-related fields.
- Minimum 3 years of total work experience.
- At least 2 years of relevant experience as a data analyst or in RPA-related roles.
- Proficiency with MS 365, MS SharePoint.
- Hands-on experience with RPA tools (e.g., Power Automate, UIPath, OrangeFin), workflow tools (e.g., Kube365, Managed Engine), and Data Analytics Dashboards (e.g., PowerBI, Tableau).
- Advanced knowledge of PowerBI (PowerBI Service, data refresh configuration, workspace management, Row-Level Security).
- Familiarity with Kube365 BPA is a plus.
- Knowledge of databases (e.g., SQL, Postgres) is advantageous.
- Scripting/programming experience with DA/DS languages (e.g., Python, R) for advanced dashboarding is a plus.