1. Job Title : PE-Sales & Support 2. Job Summary : Contribute to sales and support activities as a product engineer focused on enabling data driven decisions for customers and internal teams through effective use of spreadsheet based analysis and reporting. Collaborate with sales operations and support stakeholders in a hybrid work model to maintain accurate data generate clear insights and enhance customer satisfaction while learning telecom concepts. 3. Experience : 0 - 2 years 4. Required Skills : Technical Skills: MS Excel Domain Skills: 5. Nice to have skills : Domain Skills:3G 6. Technology : Custom Service 7. Shift : Day 8. Responsibilities : -Perform detailed spreadsheet based data analysis on sales pipelines customer usage trends and support tickets to provide accurate information that guides account strategies and operational decisions -Prepare structured reports dashboards and trackers in spreadsheet tools to summarize key metrics such as revenue opportunities conversion rates and customer support performance for business reviews -Maintain clean and consistent data in sales and support repositories by validating inputs resolving discrepancies and updating records on a timely basis -Coordinate with sales teams to track prospect status follow up actions and closure probabilities to ensure transparency across the sales cycle and to support forecasting accuracy -Respond to internal support requests by analyzing data reproducing simple customer scenarios and documenting findings that help resolve issues efficiently -Compile and format customer specific performance summaries in spreadsheet form using available datasets to help sales teams demonstrate value and build trust with customers -Use spreadsheet formulas pivot tables and charts to identify patterns anomalies and risks that could impact customer satisfaction or revenue realization -Document recurring sales and support processes in clear checklists and templates that can be reused helping improve consistency and reducing manual effort -Collaborate in a hybrid work environment by aligning tasks during on site days and using digital collaboration tools on remote days to keep activities synchronized and visible -Support day shift operations by being available during business hours to provide quick data updates generate ad hoc reports and clarify information for stakeholders -Assist with basic analysis of network or service performance datasets where relevant to telecom offerings using spreadsheet models to highlight issues that may impact customers -Contribute to continuous improvement initiatives by tracking the impact of process changes in spreadsheets and presenting results to relevant stakeholders -Engage with sales and support colleagues to understand customer needs and translate them into measurable data points that can be monitored and reported consistently -Qualifications -Display strong proficiency in spreadsheet tools including use of functions pivot tables data validation conditional formatting and chart creation to support sales and support processes -Demonstrate ability to organize large volumes of data into structured tables summaries and visual representations that are easy for non technical stakeholders to interpret -Apply basic understanding of telecom concepts including packet based mobile technologies and service quality indicators to interpret data related to connectivity or usage where applicable -Show readiness to learn about cellular network generations and their impact on customer experience using available training resources to connect technical terms with business outcomes -Communicate clearly in written and spoken form when explaining analysis methods findings and data limitations to colleagues from sales support and operations functions -Exhibit strong attention to detail and commitment to data accuracy especially when entering cleaning or transforming information that feeds reports used for business decisions -Demonstrate comfort working in a hybrid model by managing tasks independently using collaboration platforms effectively and maintaining responsiveness during agreed working hours -Adapt quickly to new tools and templates introduced by the organization for data management reporting and customer documentation and apply them consistently in daily activities -Show willingness to work in entry level roles with up to two years of experience by taking guidance from more experienced colleagues and gradually handling more complex analysis tasks 9. Job Location : Primary Location :BRSPSAOA05(BPBRA Sao Paulo SP-Avenida das COG) Alternate Location :NA NA Alternate Location 1 :NA NA 10. Job Type : PE-Sales & Support [85OA19] 11. Demand Requires Travel? : No 12. Certifications Required : None
Acerca de Cognizant
Cognizant (Nasdaq: CTSH) es un creador de soluciones de IA y proveedor de servicios tecnológicos que conecta la inversión en IA con el valor empresarial mediante el desarrollo de soluciones de IA full‑stack para sus clientes. Su profundo conocimiento de la industria, junto con su experiencia en procesos e ingeniería, permite incorporar el contexto único de cada organización en sistemas tecnológicos que amplifican el potencial humano, generan resultados tangibles y mantienen a las empresas a la vanguardia en un entorno en constante cambio. Más información en cognizant.ai o @cognizant.
Información adicional sobre el empleo
La información sobre la compensación es exacta en la fecha de publicación de este anuncio. Cognizant se reserva el derecho de modificar esta información en cualquier momento, de conformidad con la legislación aplicable.
Es posible que se solicite a los solicitantes que asistan a entrevistas de forma presencial o mediante videoconferencia. Asimismo, durante cada entrevista, los candidatos podrán estar obligados a presentar un documento de identidad válido emitido por el estado o por el gobierno.
Cognizant es un empleador que ofrece igualdad de oportunidades. Su solicitud y candidatura no se evaluarán en función de la raza, el color, el sexo, la religión, el credo, la orientación sexual, la identidad de género, el origen nacional, la discapacidad, la información genética, el embarazo, la condición de veterano ni cualquier otra característica protegida por las leyes federales, estatales o locales.







