Mercafacil

Data Scientist

• You will bring statistical rigor to business decisions.
• Within the BI team, your mission is to go beyond descriptive analysis by applying statistical and machine learning models to find patterns, validate hypotheses, and generate forecasts that guide real strategies.
• Day-to-day, you will model complex problems with Python, work with large volumes of data in ClickHouse and BigQuery, and collaborate with product and operations teams to ensure the models deliver real value.
• Conduct statistical analyses to answer business questions: hypothesis testing, correlation analysis, segmentation, and predictive modeling;
• Perform exploratory data analysis (EDA) to understand the data before modeling, identifying patterns and inconsistencies;
• Write complex SQL queries in ClickHouse and BigQuery to extract and prepare data for analysis and modeling;
• Use Python for data manipulation, exploratory analyses, and model prototyping;
• Communicate results and insights clearly to business teams—translating statistics into decisions;
• Collaborate with the BI team to define metrics, data quality standards, and analytical best practices;
• Monitor models in production, tracking performance and proposing continuous improvements;

Data Scientist, Mid-level

Business Development Rep

• Execute daily outbound prospecting focused on generating a qualified pipeline.
• Reach decision-makers via phone, email and LinkedIn using structured cadences.
• Qualify leads focusing on pain, timing and purchase potential (SPIN/Challenger).
• Schedule qualified meetings and ensure a high-quality handoff to the sales team.
• Keep the CRM up to date with complete records of interactions and next steps.

Pre-Sales Analyst, Mid - BDR

Sales

• Lead and develop the sales team, ensuring revenue targets are met and commercial execution is excellent.
• Be responsible for optimizing the sales process, using analytics and KPIs to identify improvement opportunities and support strategic decisions.
• Build long-term relationships with customers, ensuring their satisfaction and contributing to the company’s sustainable growth.
• Work with SMBs (small and medium-sized businesses).
• Monitor performance indicators, identify bottlenecks and opportunities for improvement, and ensure consistent completion of management cycles.
• Analyze commercial data and metrics to support decision-making and drive sustainable results.
• Conduct training, coaching and periodic call reviews, ensuring the team’s technical and behavioral development.
• Study, disseminate and continuously apply sales methodologies such as SPIN Selling, GPCTBA and Comercial 2.0.
• Optimize commercial processes in partnership with internal teams, promoting greater operational efficiency and a better experience for customers and the team.
• Track the sales pipeline, support strategic negotiations and participate directly in more complex opportunities.
• Create and implement initiatives for motivation, recognition and development, strengthening engagement and team productivity.
• Prepare and present management performance reports to the board and other stakeholders.
• Serve as the primary person responsible for the team’s results, ensuring predictability, growth and excellence in commercial operations.
• Work directly with AI to optimize and improve processes and team development.

Sales Coordinator

Customer Support

• Industry-focused support: Provide support to industry clients via WhatsApp and Zendesk, and occasionally support retail.
• Operational platform management: Register and configure offers on platforms according to industry requests.
• Interface between teams: Respond to and resolve questions and requests from internal teams, including CS Mercapromo, CS CBM, and Mercafacil Support.
• Data analysis and reporting: Create dashboards and spreadsheet templates for data analysis and for monitoring support KPIs.
• Continuous improvement: Identify operational bottlenecks and propose improvements to the area's processes.

Customer Support Analyst, Mid-level

Payroll

• The role’s mission is to support payroll routines and benefits administration, ensuring organization and accurate verification of information.
• The challenge of the position is to learn and grow in the area, contributing to the execution of day-to-day activities, meeting deadlines and providing clear, attentive support to employees.
• Payroll: Support the collection, verification and input of data, ensuring the accuracy of information for monthly processing.
• Benefits Administration: Assist in the administration of benefits (health, dental, meal/food vouchers — VR/VA, transportation — VT), including onboarding new employees, updating records and responding to inquiries.
• Compensation: Collaborate on maintaining salary tables and assist in preparing analyses and proposals for adjustments and personnel movements.
• Employee Support: Act as a point of contact for employees, resolving questions about pay slips, vacation, benefits, working hours and other HR processes.
• Timekeeping: Assist in managing the electronic timekeeping system, monitoring inconsistencies and ensuring correct accounting of overtime, absences and time bank.

People Ops Analyst – Junior Payroll

Product Marketing

• Estruturar a função de Product Marketing onde ainda não há processo consolidado, definindo metodologia, rituais e métricas.
• Traduzir o comportamento de compra do varejo alimentar e dos consumidores em posicionamento e narrativa competitiva.
• Liderar lançamentos e réguas de adoção que aumentem o uso real das soluções em clientes SMB.
• Liderar revisões de pricing e empacotamento de planos por porte de supermercado, com impacto mensurável em receita.
• Criar alinhamento entre POs, Comercial e CS sobre ICP, mensagens e diferenciais, levantando os argumentos para aceitarmos ou não clientes fora do ICP.
• Instrumentar e reportar o impacto das iniciativas de Product Marketing em adoção, ativação, receita e retenção.

Senior Product Marketing Manager

Support Engineer

• Provide efficient support to users by handling tickets and requests related to system failures.
• Resolve basic hardware and software issues, such as installing applications, configuring devices, and diagnosing common errors.
• Identify when an issue requires escalation to a higher support level and follow established procedures and protocols for escalation and resolution to ensure service continuity and proper system operation.
• Handle first-level help desk tickets via chat, WhatsApp, and email.
• Perform remote access when needed with the customer.
• Analyze tickets and take the necessary actions until they are resolved.
• Monitor and ensure compliance with SLAs.
• Install and configure software (e.g., VPN, Friday).
• Read documentation and search knowledge bases.
• Provide support in an on-call/shift model.