Quality Analyst II

Jobtailor; Porto Alegre; Presencial; BRL 100 440 - 167 400; Tempo integral

Resumo da oferta

Jobtailor in Porto Alegre seeks a data analytics professional to extract and analyze data from data lakes and corporate systems, build reliable data structures, and derive insights that drive customer experience across digital channels. You will create dashboards and KPIs, collaborate across teams, and contribute to data governance efforts.

The role emphasizes translating business needs into actionable analyses and maintaining high data quality for business decisions in a fast-paced retail/tech

Qualificações

• Bachelor's degree completed in a relevant field.
• Experience in analysis, processing, and manipulation of data in corporate environments.
• Advanced knowledge of SQL.
• Experience with data lakes, data warehouses, or structured databases.
• Experience with data visualization tools such as Power BI, Tableau, Looker, or similar.
• Experience creating and monitoring performance indicators.
• Knowledge of metrics and KPIs for digital operations and customer service.
• Experience with digital customer service channels (IVR/URA, WhatsApp, Chat).
• Nice to have: Python for data analysis and automation.
• Experience in data modeling.
• Experience with Salesforce or other customer service platforms.
• Experience with CX data and digital customer journeys.
• Knowledge of AI applied to CX, chatbots, and conversational flows.
• Experience in retail, e-commerce, or financial services.
• Knowledge of process automation and predictive insights.
• Strong analytical skills and critical thinking.
• Investigative mindset and problem-solving orientation.
• Ability to translate complex data into actionable insights.
• Organized and detail-oriented.
• Good communication and ability to interact across areas.
• Proactive in identifying opportunities and proposing improvements.
• Ability to prioritize and manage multiple demands.
• Business acumen with technical depth.

Responsabilidades

• Extract, query, and manipulate data from data lakes, databases, and customer service platforms.
• Structure, validate, and maintain reliable databases for use by multiple teams.
• Cross-reference information to identify patterns, trends, and opportunities.
• Develop analyses to improve customer experience across IVR/WhatsApp/Chat channels.
• Build and monitor KPIs for digital channels.
• Create dashboards, management reports, and analytical studies to support decisions.
• Identify deviations and bottlenecks through data analysis.
• Support automation, monitoring, and data governance initiatives.
• Collaborate across business, technology, planning, operations, and curation to translate needs into analyses and recommendations.
• Ensure the quality, consistency, and traceability of information used by the area.

Conhecimentos

SQL

Data Analysis

Problem Solving

Communication

Organized

Attention to Detail

Proactivity

Business Acumen

Formação académica

Bachelor's degree in Statistics/ Data Science/ Information Systems/ Computer Science

Ferramentas

Power BI

Tableau

Looker

Descrição da oferta de emprego

Responsibilities

• Extract, query, and manipulate data from data lakes, databases, and customer service platforms.
• Structure, validate, and maintain reliable databases for use by curation, customer service, and business teams.
• Cross-reference information across different sources to identify patterns, trends, and opportunities.
• Develop analyses that support improvement of the customer experience across digital channels (IVR/URA, WhatsApp, and Chat).
• Build and monitor operational and strategic KPIs for digital channels.
• Create dashboards, management reports, and analytical studies to support decision-making.
• Identify deviations, bottlenecks, and improvement opportunities through data analysis.
• Support initiatives for automation, monitoring, and data governance in the area.
• Collaborate with business, technology, planning, operations, and curation teams to translate business needs into analyses and recommendations.
• Ensure the quality, consistency, and traceability of information used by the area.

Requirements

• Bachelor's degree completed, preferably in Statistics, Data Science, Information Systems, Computer Science, or related fields.
• Experience in analysis, processing, and manipulation of data in corporate environments.
• Advanced knowledge of SQL.
• Experience with data lakes, data warehouses, or structured databases.
• Experience with data visualization tools such as Power BI, Tableau, Looker, or similar.
• Experience creating and monitoring performance indicators.
• Knowledge of metrics and KPIs for digital operations and customer service.
• Experience or familiarity with digital customer service channels, especially IVR/URA, WhatsApp, and Chat.
• Nice to have: Knowledge of Python for data analysis and automation.
• Experience in data modeling.
• Experience with Salesforce or other customer service platforms.
• Experience with customer experience (CX) data and digital customer journeys.
• Knowledge of artificial intelligence applied to customer service, chatbots, and conversational flows.
• Experience in retail, e-commerce, or financial services.
• Knowledge of process automation and generation of predictive insights.
• Strong analytical skills and critical thinking.
• Investigative mindset and problem-solving orientation.
• Ability to translate complex data into clear, actionable insights.
• Organized and detail-oriented.
• Good communication skills and ability to interact with different areas.
• Proactive in identifying opportunities and proposing improvements.
• Ability to prioritize and manage multiple demands.
• Business acumen combined with technical depth.