what will you do :
- build and govern workforce plans by partnering with our contact-centre teams on volume forecasts, staffing models, and performance rhythms
- run operational governance for partner centres - reporting, invoicing inputs, scorecards, and weekly / monthly business reviews
- own dashboards for customer support performance automate reporting across SLAs, queues, productivity, and ticket trends using SQL, Python, Tableau, and excel
- work with data engineering and process excellence to streamline data flows, improve automation, and ensure accuracy and consistency of all CS reports
- provide fast, data-backed insights to help leadership make decisions and improve service efficiency
- manage system access across CRM, telephony, and workflow tools - onboarding / offboarding, permissions, and compliance
- coordinate with tech and security teams to maintain governance across all CS systems and tools
- oversee API setups, authorizations, and integrations with third-party platforms to keep customer support operations running smoothly
you should apply if you have :
strong hands-on proficiency in SQL, python, and tableau3-6 years of experience in customer support or service operations, focusing on reporting, analytics, or systemsdeep understanding of support workflows - SLAs, queues, volume trends, productivity, and ticket lifecyclesexperience with Genesys Cloud and Genesys APIsknowledge of identity and access management frameworksability to work closely with data, tech, and partner teamsexperience with tools like Airflow or Retool is a plus, not a blockerSkills Required
Tableau, Sql, Airflow, Python