WFM Analyst, Vendor Operations

 - Develop, manage, and optimize agent schedules to align with forecasted demand and service level targets across in-house and BPO teams.

· Make real-time adjustments to schedules in response to unexpected changes such as call volume spikes or staffing availability, in accordance with standard operating procedures (SOPs).

· Allocate shifts, breaks, and off days by balancing agent preferences, contractual agreements, and business needs.

· Monitor schedule adherence, identify deviations, and proactively address non-compliance or productivity issues with the Operations team.

· Maintain accurate and up-to-date headcount forecasts based on historical trends, seasonal patterns, and business forecasts.

· Generate and analyze WFM performance reports, including schedule adherence, coverage gaps, utilization, and staffing efficiency.

· Provide administrative support to the WFM Manager and contribute to ongoing operational improvement initiatives.

· Act as a point of contact for scheduling-related inquiries from agents, team leads, and managers, ensuring timely and accurate responses.

· Liaise with internal departments and external BPOs to resolve cross-functional issues impacting workforce planning.

· Support short-term planning and coordination of training, meetings, and departmental activities.

· Proactively communicate issues that may impact service performance and escalate accordingly.

· Uphold and execute planning strategies with a moderate level of autonomy, following established processes and guidelines. 

· Diploma, Degree, or professional certification in any field (preferred).

· Minimum 3–4 years of experience in a contact center environment as a Workforce Management Planner or Scheduler, preferably within e-commerce, quick commerce, or tech industries.

· Strong command of English (verbal and written); able to communicate clearly with internal and external stakeholders.

· Proficiency in Google Suite or Microsoft Office, with advanced Excel skills (formulas, pivot tables, lookups, Power Query, SQL, Python, Erlang-C).

· Solid analytical skills with the ability to work with large data sets and extract actionable insights.

· Highly organized and detail-oriented with strong problem-solving capabilities.

· Ability to thrive in a fast-paced, high-volume environment and make assertive, data-driven decisions.

· Strong interpersonal skills with the ability to coordinate across multiple teams and time zones.

· Mathematical proficiency and an eagerness to learn programming or automation tools is a plus.