Sr. HRIS Analyst
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- Bangalore, Karnataka
- Permanent
- Full-time
- Configure HR System (UKG Pro) to meet required specifications
- Participate in system implementations and coordinate and test system changes and upgrades
- Test and perform analyses in HRIS system to ensure integrity and accuracy of database
- Prepare and distribute HR analytics and metrics
- Build, edit, and maintain custom reporting in the UKG People Analytics BI module (IBM Cognos)
- Maintain security and safeguard confidential information
- Provide system training and ongoing support to HR, Payroll and Finance
- Perform quality control and audits of HR programs
- Participate in HRIS module implementation, integrations or system conversions
- Identify opportunity areas to improve usage of data fields, workflows, setups, permissions, and reporting to drive increased efficiency and data accuracy
- Effectively manage the employee self-service program with UKG Pro identifying where opportunities exist to promote increased adoption across the organization
- Assist with HR Intranet site uploading and/or modifying information and maintaining user accounts
- Support HR Operations, Compensation & Benefits, Talent Acquisition and Payroll/Finance teams with ad-hoc projects, reports, data analysis, and information requests
- Assist with data updates, imports/exports
- Document internal processes, training manuals, and controls
- Perform other duties as assigned
- Bachelor's degree or equivalent, or relevant work experience
- 5+ years of experience in HR technology and analytics (Required)
- HRIS experience within UKG Pro HRIS (preferred) or similar cloud-based systems such as Workday, SAP, Ceridian
- Proficient with Microsoft Office products: Microsoft Excel (advanced) and Access (strong)
- Highly proficient with Excel Pivot tables, Vlookup, and Macros
- Proficient with UKG People Analytics BI reporting (IBM Cognos), or similar BI analytics tool (Tableau, Power BI)
- Experience managing and analyzing structured and unstructured data using tools
- Proficiency in descriptive and inferential statistics
- Ability to translate results of complex analyses into data-driven insights to ensure key messages resonate with the target audience
- End-to-end analytics lifecycle expertise: diagnosis, data cleaning, integration and transformation, analysis, visualization, and presentation
- Ability to collaborate with peers and cross functional teams, working across multiple time zones
- Creative and nimble with ability to overcome obstacles to solve hard problems
- Flexible and responsive, with ability to adapt to rapid change in direction or business priority
- Openness to feedback and strong self-awareness
- Excellent verbal and written communication skills
- Ability to work within the confines of data governance and privacy standards