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Job Requirements of Support Operations Analyst IV (Workforce Data Analyst):
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Employment Type:
Full-Time
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Location:
San Diego, CA (Onsite)
Do you meet the requirements for this job?
Support Operations Analyst IV (Workforce Data Analyst)
Job ID: 25-62278
Pay Range: $40 - $46.10/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Responsibilities:
- Role: Workforce Management Analyst (Scheduling Capacity)
- Team: Internal Operations Workforce Management
- Product Support: TurboTax, QuickBooks, Mailchimp, and other products.
- Contract Duration: 12-13 months
- Location: San Diego, CA (on-site preferred)
- On-Site Requirement: Minimum 3 days per week, ideally 4 days.
- Commute: Candidates should ideally have a commute of 40 minutes or less.
- Relocation: Open to relocation, but candidate must strongly justify the decision.
- Conversion Potential: High potential for conversion to full-time.
- Urgency: Hiring for busy season (through April).
- Analysing historical and real-time data to identify staffing imbalances.
- Generating reports and insights for service delivery managers.
- Transforming and uploading data into various systems.
- Documenting existing processes.
- Identifying and implementing automation opportunities.
- Identifying times where experts are staffed at the incorrect times.
- Helping to balance staffing levels to meet customer demand.
- Schedule Analysis & Optimization:
- Analyze existing workforce schedules to identify shifts that deviate from established requirements and demand forecasts.
- Identify and report on scheduling inefficiencies and potential areas for improvement.
- Recommend and facilitate adjustments to schedules to optimize staffing levels and adherence.
- Process Documentation, Standardization, and Improvement:
- Document existing scheduling analysis processes and procedures.
- Identify opportunities to standardize and improve scheduling analysis workflows.
- Develop and implement best practices for scheduling analysis.
- Continuously review and update process documentation to reflect changes and improvements.
- Data Analysis & Reporting:
- Analyze data related to employee availability, skill sets, and operational requirements to support schedule analysis.
- Prepare and present reports on key performance indicators (KPIs) related to schedule adherence and efficiency.
- Utilize SQL to extract, manipulate, and analyze data for scheduling analysis.
- Process Improvement & Tool Development:
- Identify opportunities to improve scheduling analysis and optimization processes.
- Provide feedback and contribute to the development of new WFM tools and systems.
- Adapt to and utilize tools that are being built on the fly, and understand that some analysis and planning may require manual methods.
- Utilize Jira to track tasks, bugs, and feature requests related to WFM tools.
Key Requirements and Technology Experience:
- Workforce Management:
- Strong understanding of contact centre planning.
- Experience with Erlang calculations.
- Knowledge of scheduling, demand planning, capacity planning, and RTA (Real-Time Adherence).
- Experience in identifying and resolving staffing imbalances.
- SQL & Data Analysis – Strong expertise in SQL (Presto/Trino/Spark) for querying large datasets, optimizing queries, and working with data visualization tools like Tableau.
- Data Analysis:
- ETL (Extract, Transform, Load) processes.
- Data manipulation and transformation beyond Excel/Google Sheets.
- Proficiency in SQL.
- Experience with Python.
- Familiarity with Databricks.
- Ability to extract and analyse data from data lakes.
- Automation:
- Interest in identifying and implementing automation solutions.
- Experience with RPA (Robotic Process Automation) is a plus.
- Process Documentation:
- Ability to create and maintain clear process documentation.
- Strong attention to detail.
- Communication:
- Ability to translate data insights into actionable recommendations.
- Effective communication with service delivery managers and other stakeholders.
- Team Details:
- Current team size: 3 members (previously 5).
- Team goal: To ensure optimal staffing levels to meet customer demand.
- Team challenges: Heavy manual work, need for automation.
- Team culture: Seeks proactive individuals who identify and drive process improvements.
- Team is open to team expansion.
- Key Tools:
- SQL
- Python
- Databricks
- RPA (potential use)
- general data lake experience.
- Jira (Nice to have)
- Proficiency in data analysis tools and techniques.
- Excellent communication and interpersonal skills.
- Ability to work independently and as part of a team.
- Ability to thrive in a fast-paced and dynamic environment.
- Experience with WFM software. (NICE, IEX, etc)
- Preferred Skills:
- Proficiency in SQL for data extraction and manipulation.
- Experience with Python for data analysis and automation.
- Experience using Jira for project tracking and issue management.
- Understanding of demand planning principles.
- Understanding of call center or customer service operations.
Our client is a leading IT Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
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