HRIS Data Analyst

1 month ago


Chicago, United States Patterned Learning AI Full time
Job Description
HRIS Data Analyst - Remote Job, 1+ Year Experience

Annual Income: $60K - $65K, Onsite

A valid work permit is necessary in the US/Canada

About us: Patterned Learning is a platform that aims to help developers code faster and more efficiently. It offers features such as collaborative coding, real-time multiplayer editing, and the ability to build, test, and deploy directly from the browser. The platform also provides tightly integrated code generation, editing, and output capabilities.

About The RoleThis position is a dual role, responsible for auditing timekeeping and payroll data, and designing/maintaining informative dashboards and reports that enable data-driven decision-making across the organization.

Responsibilities

Payroll & Timekeeping

  • Develop automated protocols to validate the accuracy of shift premiums and payroll calculations
  • Utilize protocols for calculating retro pay based on timekeeping records
  • Collaborate with Workforce Technology Implementation Manager to visualize incoming clients' pay rules for approval
  • Partner with Client Engagement to model and document proposed shift premium or payroll calculation rules
Time off Accruals
  • Create parallel calculation methodology to predict time off balances accurately
  • Develop visualizations of accrual policies for client signoff
  • Conduct audit calculations as needed to validate balances
Implementation Data Mining
  • Generate reports in clients' existing HRIS platform for historical data download
  • Validate incoming clients' data census/setup against clients' HRIS and flag variances for review
Dashboards Design & Maintenance
  • Create visually engaging, user-friendly dashboards reflecting key business metrics
  • Regularly update dashboards to ensure they reflect the most current data
Reporting
  • Develop and deliver regular reports on business performance and key metrics
  • Automate reporting processes for improved efficiency and accuracy
Data Interpretation
  • Interpret data to identify significant trends and insights relevant to business objectives
  • Present complex data clearly, concisely, and actionable for stakeholders at all levels
Collaboration & Feedback Integration
  • Work closely with departmental teams to understand reporting needs and preferences
  • Seek continuous feedback to enhance the effectiveness and usability of reports and dashboards
Training & Support
  • Provide training and support to team members and stakeholders on interpreting and utilizing dashboard data
  • Develop user guides and documentation for dashboard and report usage
Projects & Special Requests
  • Partner with the team to manage, prioritize, and execute project plans
  • Identify, communicate, and mitigate project risks
  • Present creative solutions and manage module-specific HRIS implementation projects
This Role is a Good Fit if You
  • Have a bachelor's degree in data science or related field, preferred
  • Possess 5+ years of experience in HRIS', UKG Ready preferred
  • Possess expert-level timekeeping calculation experience
  • Have proven audit/development experience with BI or Access, preferred
  • Are proficient in Microsoft Office Suite
The Perks
  • Flexibility
  • Health insurance, with the company paying the single employee premium
  • Company paid dental insurance
  • Company paid life insurance
  • Company paid short- and long-term disability insurance
  • A 401K plan with company match
  • Paid Time Off
  • Additional ancillary benefits including Vision, Cancer, Critical Illness, Hospital Indemnity, Voluntary Life/AD&D, Accident and Legal
Benefits found in job post
  • Medical insurance
  • Dental insurance
  • Disability insurance
  • 401(k)


Why Patterned Learning LLC?

Patterned Learning can provide intelligent suggestions, automate repetitive tasks, and assist developers in writing code more effectively. This can help reduce coding errors, improve productivity, and accelerate the development process.

The pattern recognition is particularly relevant in the context of coding. Neural networks, especially deep learning models, are commonly employed for pattern detection and classification tasks. These models simulate human decision-making and can identify patterns in data, making them well-suited for tasks like code analysis and generation.

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