Workday Analyst at Pattern

Pune, Maharashtra, India

Pattern Logo
Not SpecifiedCompensation
Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Human Resources, TechnologyIndustries

Requirements

  • 2+ years of designing, configuring, and supporting multiple Workday functional areas
  • Demonstrated ability to effectively balance and complete multiple projects and deliverables within expected timeframes and deadlines
  • Demonstrated ability to interact in a professional manner with internal and external stakeholders, use tact and diplomacy, maintain confidentiality, and appropriately handle and communicate controversial or sensitive information
  • Demonstrated ability to organize and prioritize tasks and adjust to changes in priorities and situations to meet deadlines
  • Demonstrated ability to evaluate, analyze, and summarize data and facts, establish logical connections, and form sound decisions based on analysis
  • Preferred Experience and Skills
  • Advanced understanding and experience with security administration and integrations
  • Experience configuring Workday for a global company
  • Experience building dashboards, creating advanced, matrix, and composite reports
  • Bachelor’s (or Master’s) degree in Information Systems, Computer Science, or related fields

Responsibilities

  • Support the ongoing design, configuration, and maintenance of multiple HCM functional areas such as recruiting, benefits, compensation, absence management, time tracking, payroll, talent, or performance management modules
  • Configure security and assign roles as needed and approved
  • Gather requirements from subject matter experts and translate business needs into functional and technical solutions
  • Identify opportunities for automation via Workday custom reporting and other technical solutions
  • Lead discussions and testing of new functionality related to system upgrades and releases
  • Ensure data integrity through regular data validations and audits
  • Create and maintain documentation of business processes
  • Contribute to the overall HR team effort in delivering high-quality service and projects
  • Make recommendations to improve processes and efficiency
  • Assist with coordination of and/or lead efforts for a wide variety of ongoing or annual HR projects

Skills

Workday
HCM
Recruiting
Benefits
Compensation
Absence Management
Time Tracking
Payroll
Talent Management
Performance Management
Workday Security
Custom Reporting
Data Validation

Pattern

Ecommerce acceleration and competitive analysis

About Pattern

Pattern.com focuses on ecommerce acceleration, particularly on Amazon, by providing a free digital shelf management software that analyzes data from millions of searches and products. This tool uses machine learning to give brands insights into their competition, helping them optimize their product listings. Unlike competitors, Pattern.com offers both free tools and premium services, including market insights and consultancy, to help brands grow on Amazon. The company's goal is to empower brands to enhance their visibility and sales on one of the largest online marketplaces.

Lehi, UtahHeadquarters
2013Year Founded
$269.4MTotal Funding
GROWTH_EQUITY_VCCompany Stage
Data & Analytics, Consulting, Consumer GoodsIndustries
1,001-5,000Employees

Risks

Increased competition from AI-driven ecommerce platforms could erode Pattern's market share.
The rapid growth of Amazon's third-party sellers may dilute Pattern's service effectiveness.
The partnership with Giggster may divert focus from core ecommerce services.

Differentiation

Pattern offers a free digital shelf management tool for Amazon sellers.
The company uses machine learning to provide customized insights for product optimization.
Pattern's premium services include deep market insights and patented technology solutions.

Upsides

Pattern was named one of the World's Most Innovative Companies in 2024.
The launch of the Shelf inventory solution expands Pattern's service offerings.
Pattern's AI models enhance seller performance across multiple retail marketplaces.

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