Lalamove

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<div><span>Fundada em Hong Kong em 2013, a Lalamove é uma plataforma de entregas sob demanda criada com a missão de capacitar comunidades, tornando as entregas rápidas, simples e acessíveis. Com um clique, indivíduos, pequenas empresas e corporações podem acessar uma ampla frota de veículos de entrega operados por parceiros motoristas profissionais. Impulsionados pela tecnologia, conectamos perfeitamente pessoas, veículos, cargas e estradas, movendo coisas importantes e trazendo benefícios para as comunidades locais em 11 mercados na Ásia e na América Latina.</span></div>
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<div>Como Analista na Lalamove Brasil, você fará parte do nosso time de Vendas B2B, desempenhando um papel crucial na análise de dados para impulsionar o crescimento da demanda corporativa, abrangendo contas Business e Enterprise. </div>
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<div>Sua missão será fornecer insights valiosos e recomendações fundamentadas em dados para otimizar o upsell, resultados das categorias e a captação de novos clientes. Isso envolve análises profundas, criação de relatórios acionáveis e o desenvolvimento de estratégias que promovam eficiência.</div>
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<div>Você trabalhará em colaboração com diversas equipes para garantir que nossa operação esteja respaldada pelas informações corretas e pelos indicadores de desempenho necessários para decisões assertivas.</div>
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<h2>Responsabilidades</h2><div>
<div><span>-Acompanhar diariamente os KPIs e resultados de todas as cidades e categorias do negócio, garantindo a correta implementação dos SOPs</span></div>
<div><span>-Colaborar no lançamento de campanhas, preparando planilhas e alinhando com os stakeholders para maximizar o faturamento</span></div>
<div><span>-Analisar semanalmente os principais KPIs e propor planos de ação para reduzir gaps e otimizar resultados</span></div>
<div><span>-Crescimento de Oferta e Demanda</span></div>
<div><span>-Monitorar o crescimento de oferta e demanda nas cidades, identificando desequilíbrios e apoiando o alinhamento entre equipes</span></div>
<div><span>-Conduzir análises semanais de performance por tipo de veículo, sinalizando desvios relevantes ou oportunidades de crescimento</span></div>
<div><span>-Criar e executar o plano semanal em conjunto com a equipe de vendas</span></div>
<div>-<span>Realizar benchmarking de preços e produtos em relação à concorrência, assegurando nossa competitividade no mercado</span></div>
<div><span>-Criar e gerenciar tabelas de preços para clientes-chave, garantindo que as ofertas sejam competitivas e alinhadas com a estratégia de vendas</span></div>
<div><span>-Monitorar os resultados e desempenho dos vendedores, oferecendo suporte e insights para melhorar a eficácia das vendas</span></div>
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<h2>Requisitos</h2><div>
<div><span>-Graduação em Administração, Engenharia, Economia ou áreas correlatas</span></div>
<div><span>-Inglês Intermediário </span> <span>Excel Avançado: Habilidade em análise de dados e criação de dashboards</span></div>
<div><span>-Sólida habilidade para extrair insights e transformá-los em ações práticas</span></div>
<div><span>-Excelentes habilidades de comunicação, tanto verbal quanto escrita</span></div>
<div><span>-Grande atenção aos detalhes e forte capacidade de organização</span></div>
<div><span>-Abordagem prática na resolução de problemas</span></div>
<div><span>-Capacidade analítica apurada e organização excepcional</span></div>
<div><span>-Experiência com liderança de pessoas</span></div>
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Analista de Operações de Vendas

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<p>As a Lead, Data Analytics at Lalamove, you will work with a group of passionate and talented people across different teams. You will deep dive into our data and uncover actionable insights to empower Product, Marketing and Operations teams in making informed decisions. The ideal candidate will have a passion for generating value out of data and shaping the future of Lalamove products.</p>
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<h2>What you will do:</h2><ul><li><strong>Data Analysis &amp; Insights</strong>: Leverage advanced analytics techniques to analyze complex business problems and identify opportunities for improvement.</li>
<li><strong>Presentation &amp; Communication</strong>: Distill complex analyses into clear, actionable insights for Lalamove’s senior stakeholders. Prepare and deliver high-impact presentations to the C-level executives.</li>
<li><strong>Ad-Hoc Projects</strong>: Handle urgent, dynamic analytics requests from senior management with flexibility and a solution-oriented mindset.</li></ul>
<h2>What you'll need:</h2><ul>
<li>Bachelor’s degree in Business, Analytics, Data Science, or a related field. Master’s degree preferred.</li>
<li>Extensive experience in business analytics, with at least 1 years in a leadership or managerial role.</li>
<li>Expertise in handling large datasets using SQL, R, Python and advanced proficiency in analytical tools like Excel or equivalent platforms. e.g., Power BI, Tableau.</li>

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<p>What we look for:</p>
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<li>Exceptional presentation skills, with the ability to convey complex insights in a simple, impactful manner.</li>
<li>High level of maturity, professionalism, and emotional intelligence.</li>
<li>Strong problem-solving skills and the ability to think critically under pressure.</li>
<li>Flexibility to adapt to changing priorities and manage ambiguity.</li>
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Lead, Data Analytics

<div>As a <strong>Workplace Automation Engineer, </strong>you will take part in the company's new initiatives to build, maintain, and improve automation solutions that reduce manual office work. This person will work closely with the stakeholders and business users to develop workflows, integrations, scripts, AI-enabled tools, and productivity solutions. </div>
<h2>What you'll do</h2><div>

<li>Build automations for internal business processes using low-code platforms, scripts, APIs, AI tools, and productivity software.</li>
<li>Develop workflows for approvals, notifications, data collection, reporting, document generation, task tracking, and knowledge management.</li>
<li>Integrate tools such as Google Workspace, email, databases, forms, dashboards, and internal systems.</li>
<li>Use AI technologies to automate document summarization, data extraction, classification, content generation, search, and workflow assistance.</li>
<li>Create and maintain scripts, connectors, templates, prompts, and reusable automation components.</li>
<li>Support testing, troubleshooting, monitoring, and enhancement of deployed automations.</li>
<li>Document solution design, user instructions, technical configuration, limitations, and maintenance requirements.</li>
<li>Work with IT and InfoSec to follow standards for authentication, access control, data handling, logging, and approval.</li>
<li>Help business users understand how to use automation tools effectively.</li>
<li>Continuously identify improvement opportunities in existing workflows.</li>

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<h2>What you'll need</h2><div>

<li>2+ years of experience in automation development, scripting, productivity tooling, systems integration, IT support engineering, business applications, or related roles.</li>
<li>Hands-on experience with at least one scripting or automation technology, such as Python, JavaScript, Google Apps Script, Zapier, Make or similar.</li>
<li>Familiarity with APIs, webhooks, data formats, forms, spreadsheets, databases, and workflow logic.</li>

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<div>Preferred Experience:</div>

<li>Experience with productivity platforms such as Google Workspace, Lark or similar tools</li>
<li>Ability to troubleshoot technical issues and communicate clearly with business users.</li>
<li>Strong documentation discipline.</li>
<li>Experience using generative AI tools or APIs to build workplace productivity solutions.</li>
<li>Experience with prompt design, document processing, chatbot workflows, or knowledge base automation.</li>
<li>Basic SQL or data analysis experience.</li>
<li>Experience with dashboards or reporting tools.</li>
<li>Familiarity with security basics, including permissions, secrets management, data privacy, and audit logs.</li>
<li>Experience supporting regional or cross-functional business users.</li>

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Workplace Automation Engineer

<div>As a Senior Data Analyst at Lalamove, you will work with a group of passionate and talented people across different teams. You will deep dive into our data and uncover actionable insights to empower Product, Marketing and Operations teams in making informed decisions. The ideal candidate will have a passion for generating value out of data and shaping the future of Lalamove products.</div>
<h2>What you will do:</h2><ul><li>Develop and apply analytical frameworks for solving complex business problems</li>
<li>Partner with stakeholders across the company to influence business objectives and goals</li>
<li>Build intuitive and impactful dashboards to allow stakeholders to make data-informed decisions</li>
<li>Synthesize data into clear, actionable recommendations and effectively communicate them to different audiences</li>
<li>Mentor and inspire junior analysts on the team</li></ul>
<h2>What you'll need:</h2><ul><li>At least 4 years of work experience in a business intelligence or data analytics role</li>
<li>Experience leading a small team will be a plus</li>
<li>Strong proficiency in SQL, with good understanding of data warehousing concepts</li>
<li>Experience using Tableau or other BI Tools for reporting and analyses</li>
<li>Proven track record of leveraging data to influence decision making</li>
<li>Good command of English (both written and oral)</li></ul>

Senior Data Analyst

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<div>We are seeking a versatile, highly motivated <strong>Data Enablement </strong><strong>Lead</strong> to bridge the gap between complex backend data infrastructure and business-facing analytics solutions.</div>
<div>In this role, you will be the core engine driving analytics, reporting, and self-service data products for our Business Unit (BU). While our central data infrastructure team handles enterprise-wide platform needs, you will take ownership of our BU's specific data stack—coordinating with the central team to manage existing upstream pipelines while building and maintaining our own localized data pipelines when speed and agility are required.</div>
<div>Beyond standard dashboards and data pulls, your goal is to revolutionize how non-technical stakeholders interact with data. You will design next-generation data consumption tools—ranging from high-performance data cubes to AI-driven query bots—empowering our BU to get answers instantly.</div>
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<h2>What we seek:</h2><div>
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<h3><strong>Hands-On Engineering &amp; Tooling</strong></h3>
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<div><strong>Data Pipelines &amp; </strong><strong>Backend</strong><strong>:</strong> Build, maintain, and optimize data pipelines feeding our BU’s analytics layer. Work across our core data platform (<strong>Apache </strong><strong>Hive</strong>) and high-performance OLAP backend (<strong>Apache Doris</strong>).</div>
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<div><strong>Next-Gen Data Tools:</strong> Architect non-data-person-facing tools to automate data access, such as setting up data cubes/semantic layers and building AI/LLM-powered data bots (e.g., text-to-SQL / natural language data querying).</div>
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<div><strong>Architecture &amp; Standards:</strong> Establish best practices for data modeling, pipeline monitoring, and data quality within our BU's local repository</div>
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<h3><strong>Technical Project Management &amp; Coordination</strong></h3>
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<li><strong>Cross-Team Collaboration:</strong> Act as the primary technical interface between analytics / operational team and the central platform data engineering team.</li>
<li><strong>Project Delivery:</strong> Scope, prioritize, and manage the end-to-end lifecycle of analytics engineering projects, translating non-technical needs into clear technical specifications.</li>
<li><strong>Enablement &amp; Stakeholder Management:</strong> Educate and support operational team on self-serve tools, documentation, and data literacy initiatives.</li>

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<h2>What you'll need:</h2><div>
<h3><strong>Technical Skills</strong></h3>
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<div><strong>Data Engineering &amp; Warehousing:</strong> 5+ years of experience in data engineering, analytics engineering, or technical data product management.</div>
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<div><strong>Stack Expertise:</strong> Strong proficiency in <strong>SQL</strong> and <strong>Python</strong>. Solid experience with large-scale data warehouses (<strong>Apache </strong><strong>Hive</strong>) and modern OLAP engines (<strong>Apache Doris</strong>, ClickHouse, StarRocks, or similar).</div>
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<div><strong>Data Product &amp; </strong><strong>AI</strong><strong> Innovation:</strong> Demonstrated interest or experience in building interactive data tools (e.g., Cube.js, semantic layers) or leveraging AI/LLM frameworks (e.g., LangChain, OpenAI APIs, Text-to-SQL pipelines) to simplify data retrieval.</div>
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<div><strong>Data Modeling:</strong> Deep understanding of dimensional modeling, star schemas, data aggregation, and query optimization techniques.</div>
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<h3><strong>Project &amp; Stakeholder Management</strong></h3>
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<div>Proven ability to coordinate across cross-functional engineering teams with competing business priorities.</div>
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<div>Strong project management skills—able to track dependencies, mitigate risks, and manage stakeholder expectations clearly without micro-managing.</div>
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<div>Pragmatic approach to the "Build vs. Coordinate" tradeoff—knowing when to rely on central platforms versus when to build lightweight local solutions.</div>
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Data Enablement Lead

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<div><span>As a Senior Data Analyst at Lalamove, you will be shaping the future of Lalamove operations through data-driven insights. You will deep dive into our data and uncover actionable learnings to empower Operations teams in making informed business decisions across markets. The ideal candidate will have a passion for generating value out of data and impacting business performance.</span></div>
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<h2>What you will do:</h2><ul><li>
<div><span>Develop and apply analytical frameworks for solving complex business problems</span></div>
</li>
<li>
<div><span>Partner with stakeholders across the company to influence business objectives and goals</span></div>
</li>
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<div><span>Build intuitive and impactful dashboards to allow stakeholders to make data-informed decisions</span></div>
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<div><span>Synthesize data into clear, actionable recommendations and effectively communicate them to different audiences</span></div>
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<div><span>Lead data-driven learning process of effective pre-launch impact measurement planning and post-implementation data review</span></div>
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<h2>What you'll need:</h2><ul><li>
<div><span>At least 4 years of work experience in a business intelligence or data analytics role</span></div>
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<div><span>Strong proficiency in SQL, with good understanding of data warehousing concepts</span></div>
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<div><span>Experience using Tableau or other BI Tools for reporting and analyses</span></div>
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<div><span>Proven track record of leveraging data to influence decision making</span></div>
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<div><span>Good command of English (both written and oral)</span></div>
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Senior Data Analyst, Driver Operations

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