Description
Summary:
Seeking a Data & Reporting Analyst to manage operational data, create dashboards, analyze customer service KPIs, and provide actionable insights in a technology-driven environment.
Highlights:
1. Dynamic, collaborative, and technology-driven environment
2. Opportunity to support customer service operations in Brazil and Peru
3. Growth opportunities in Business Intelligence and Performance
**Llamapixel** is a company that provides top‑tier 24/7 support to Spanish‑speaking users across Latin America, within a dynamic, collaborative, and technology‑driven environment. We are looking for a Data \& Reporting Analyst for our on‑site location in Lima, Peru.
**Main Responsibilities**
* Manage and organize operational data from multiple systems; build daily, weekly, monthly, and ad hoc reports.
* Create and maintain structured dashboards and standardized report templates for Brazil and Peru.
* Ensure data accuracy, consistency, and reliability across all reporting.
* Analyze key Customer Service KPIs (SLA, backlog, aging, response time, AHT/TMO, productivity) and identify deviations, trends, and risks.
* Investigate root causes behind KPI changes and clearly communicate findings, impacts, and recommended actions.
* Automate recurring reports and reduce manual workload through improved templates, formulas, and data flows.
* Provide intraday visibility and operational alerts; support WFM and Operations in understanding forecast vs actual gaps.
* Translate complex data into clear, actionable insights and build executive presentations for business reviews.
**Requirements \& Experience**
* Minimum 2 years of experience in data analysis, reporting, dashboards, or operational analytics in call centers, contact centers, or BPOs.
* Strong knowledge of Customer Service and Contact Center KPIs: SLA, backlog, aging, response time, AHT/TMO, productivity, adherence, volume, forecast vs actual, and quality indicators.
* Proven experience building operational reports and dashboards from raw databases, including data cleaning and consolidation.
* Advanced Excel or Google Sheets skills (pivot tables, lookups, formulas, data organization).
* Experience creating executive presentations in PowerPoint, Google Slides, or similar tools.
* Ability to analyze data, detect trends, explain KPI movements, and propose practical recommendations.
* Advanced or fluent English.
* Portuguese desirable but not mandatory, especially due to the scope of operations in Brazil.
* Desirable experience with Looker Studio, SQL, Zendesk, CRM/helpdesk platforms, contact center dashboards, or basic report automation.
**What We Offer**
* Opportunity to support Customer Service operations in Brazil and Peru.
* Role with direct impact on operational visibility, performance management, and decision‑making.
* Exposure to multicountry operations, regional leadership, and governance routines.
* Work environment that values data, structure, ownership, and continuous improvement.
* Growth opportunities in Business Intelligence, Performance, WFM, Continuous Improvement, and Customer Service Operations.
Benefits
* Work schedule: Monday to Friday, 9:00 AM to 6:48 PM.
* 100% on‑site work in Lima.
* Enrollment in the company payroll from day one, with all legally mandated benefits.
* Food allowance: S/300 per month.
* EPS coverage at 100%.
* Competitive salary within the market.
We are committed to protecting the privacy and personal data of all individuals participating in our recruitment processes, in accordance with **Peru’s Personal Data Protection Law**. The information provided by candidates is used solely for evaluation and selection purposes and is handled with strict security and confidentiality measures.If you would like to read the full **Privacy Policy for Applicants**, you can access it here:
***https://docs.google.com/document/d/1dHaiYlxZiuHHx41T\-ou8OYJSgRutu6sW/edit?usp\=sharing\&ouid\=105452786369524995446\&rtpof\=true\&sd\=true***
Job Type: Full\-time
Pay: S/.1\.00 per month
Application Question(s):
* ¿Confirmas que deseas participar en el proceso de selección y autorizas el tratamiento de tus datos personales conforme a nuestra Política de Privacidad para Postulantes?
* ¿Cuántos años de experiencia tiene en Análisis de Datos?
* Indique su nivel en inglés.
* Indique su expectativa salarial.
Work Location: In person