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ANALYST I, WORKFORCE MANAGEMENT

Remote · Netherlands Full-time

Overview

Job Title: Analyst I, Workforce Management (Forecasting Analyst)Department: Workforce Management (WFM)Employment Type: Full-Time Job Summary We are seeking a highly analytical and detail-oriented Forecasting Analyst to join our Workforce Management team. This role is responsible for developing accurate contact volume and staffing forecasts that support operational planning, scheduling, and business decision-making. The ideal candidate has strong forecasting and statistical analysis skills, experience in contact center environments, and the ability to translate data into actionable workforce strategies.

Responsibilities

Qualifications Bachelor’s degree in Business, Statistics, Mathematics, Data Analytics, or a related field preferred. Experience in Workforce Management, Forecasting, or Capacity Planning within a contact center/BPO environment. Strong understanding of call center metrics and workforce concepts such as service levels, shrinkage, occupancy, and Erlang C. Proficiency in Excel and experience with WFM platforms such as NICE, Verint, Genesys, Calabrio, UKG, or similar tools. Experience with SQL, Python, R, or other analytics tools is an advantage. Strong analytical, problem-solving, and communication skills. Ability to work in a fast-paced, data-driven environment.

Qualifications

Qualifications Bachelor’s degree in Business, Statistics, Mathematics, Data Analytics, or a related field preferred. 2–5 years of Workforce Management experience, preferably in Forecasting, Capacity Planning, or Workforce Analytics within a contact center/BPO environment. Strong understanding of call center metrics and workforce concepts such as service levels, shrinkage, occupancy, and Erlang C. Proficiency in Excel and experience with WFM platforms such as NICE, Verint, Genesys, Calabrio, UKG, or similar tools. Experience with SQL, Python, R, or other analytics tools is an advantage. Strong analytical, problem-solving, and communication skills. Ability to work in a fast-paced, data-driven environment.

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