<p>Our company is seeking a motivated Data Analyst with expertise in SQL to join our growing team. In this role, you will leverage your analytical skills to turn data into actionable insights, helping our organization make data-driven decisions. You will work closely with stakeholders across departments to define analysis needs, prepare and interpret datasets, and deliver meaningful reports and visualizations.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Extract, clean, and analyze large datasets using SQL.</li><li>Develop, optimize, and maintain SQL queries, scripts, and procedures for data extraction and reporting.</li><li>Produce insightful analysis, dashboards, and reports for cross-functional teams to support key business initiatives.</li><li>Work closely with business partners to understand requirements and translate them into analytical solutions.</li><li>Identify opportunities to improve data quality, processes, and reporting efficiency.</li><li>Present findings and recommendations to stakeholders in a clear and concise manner.</li><li>Stay current on best practices and recent advancements in data analytics and reporting tools</li></ul><p><br></p>
We are looking for a Digital Analyst to support commercialization initiatives for food and packaging programs across the Latin America region from Miami, Florida. This contract opportunity is ideal for a detail-oriented individual who can connect marketing goals, operational needs, supplier coordination, and product readiness to help bring new and updated offerings to market successfully. The role works closely with cross-functional partners to ensure solutions meet brand expectations, quality standards, and regional execution requirements.<br><br>Responsibilities:<br>• Direct the rollout of new and existing menu items and packaging solutions from early planning through market launch across regional business units.<br>• Coordinate with suppliers to review formulations, production readiness, validation activity, and cost objectives to support scalable execution.<br>• Work alongside quality and compliance teams to define product and packaging specifications that align with safety, regulatory, and brand requirements.<br>• Turn business and marketing objectives into practical commercialization plans that can be implemented effectively in restaurant operations.<br>• Lead project timelines, stage-gate progress, and stakeholder communication to keep initiatives moving forward across multiple functions.<br>• Evaluate opportunities to strengthen product quality, improve operational performance, and reduce costs without compromising brand standards.<br>• Support franchise and field teams during launches, transitions, and product updates by helping address execution and readiness needs.<br>• Partner with procurement and supply chain contacts to reduce sourcing risks, prepare backup plans, and respond to potential supply disruptions.
<p>Our client is seeking a skilled <strong>Data Engineer</strong> to support the design, development and optimization of data pipelines, data models and automation solutions. This role requires strong experience with <strong>SQL, Python and Snowflake</strong>, along with the ability to assist with <strong>Selenium web scripting</strong> for automation initiatives. The ideal candidate will have hands-on expertise in <strong>ETL processes</strong>, data integration and data modeling, and will be comfortable working in a fast-paced, collaborative environment.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design, build and maintain scalable <strong>ETL pipelines</strong> to support data integration and reporting needs</li><li>Develop and optimize complex queries using <strong>SQL</strong></li><li>Use <strong>Python</strong> to support data processing, transformation and automation tasks</li><li>Work within <strong>Snowflake</strong> to manage, transform and optimize cloud-based data solutions</li><li>Assist with <strong>automation efforts</strong>, including <strong>Selenium web scripting</strong> for web-based data extraction and process automation</li><li>Create and maintain logical and physical <strong>data models</strong></li><li>Ensure data quality, integrity and consistency across multiple data sources</li><li>Collaborate with business stakeholders, analysts and technical teams to gather requirements and deliver data solutions</li><li>Monitor and troubleshoot data workflows and automation scripts</li><li>Document processes, workflows and technical specifications</li></ul><p><br></p>
<p>We are seeking a skilled <strong>Data Engineer</strong> with strong experience in <strong>ETL development, Snowflake, and Python</strong> to join our team. This role will be responsible for designing, building, and maintaining scalable data pipelines and cloud-based data solutions that support analytics, reporting, and business decision-making.</p><p>The ideal candidate has hands-on expertise in modern data engineering practices, strong problem-solving abilities, and experience working with structured and unstructured data in fast-paced environments.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, and maintain robust <strong>ETL/ELT pipelines</strong> for ingesting, transforming, and loading data from multiple sources</li><li>Build and optimize data solutions within <strong>Snowflake</strong></li><li>Develop reusable scripts and workflows using <strong>Python</strong></li><li>Integrate data from APIs, databases, flat files, and third-party platforms</li><li>Monitor, troubleshoot, and enhance data pipeline performance, reliability, and scalability</li><li>Collaborate with analytics, engineering, and business teams to understand data requirements</li><li>Ensure data quality, integrity, governance, and security across platforms</li><li>Support data modeling, warehouse design, and performance tuning</li><li>Document technical designs, workflows, and operational processes</li><li>Participate in code reviews, testing, and deployment activities</li></ul><p><br></p>
<p>We are looking for a talented Data Engineer to join our team in Miami, Florida. This long-term contract position offers the opportunity to work on cutting-edge technologies and contribute to the development of efficient data pipelines and processes. The ideal candidate will have a strong background in data engineering and a passion for delivering high-quality solutions that drive business success.</p><p><br></p><p>Responsibilities:</p><p>• Design and implement scalable data pipelines using Snowflake, Python, and other relevant tools.</p><p>• Collaborate with stakeholders to gather and refine data requirements, ensuring alignment with business needs.</p><p>• Develop and maintain data models to support analytics, reporting, and operational processes.</p><p>• Optimize data warehouse performance by tuning queries and managing resources effectively.</p><p>• Ensure data quality through rigorous testing and governance protocols.</p><p>• Implement security and compliance measures to protect sensitive data.</p><p>• Research and integrate emerging technologies to enhance system capabilities.</p><p>• Support ETL processes for data extraction, transformation, and loading.</p><p>• Work with technologies such as Apache Spark, Hadoop, and Kafka to manage and process large datasets.</p><p>• Provide technical guidance and support to team members and stakeholders.</p>
<p>The Database Engineer will design, develop, and maintain database solutions that meet the needs of our business and clients. You will be responsible for ensuring the performance, availability, and security of our database systems while collaborating with software engineers, data analysts, and IT teams.</p><p> </p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, implement, and maintain highly available and scalable database systems (e.g., SQL, NoSQL).</li><li>Optimize database performance through indexing, query optimization, and capacity planning.</li><li>Create and manage database schemas, tables, stored procedures, and triggers.</li><li>Develop and maintain ETL (Extract, Transform, Load) processes for data integration.</li><li>Ensure data integrity and consistency across distributed systems.</li><li>Monitor database performance and troubleshoot issues to ensure minimal downtime.</li><li>Collaborate with software development teams to design database architectures that align with application requirements.</li><li>Implement data security best practices, including encryption, backups, and access controls.</li><li>Stay updated on emerging database technologies and recommend solutions to enhance efficiency.</li><li>Document database configurations, processes, and best practices for internal knowledge sharing.</li></ul><p><br></p>
<p>The Database Engineer will design, develop, and maintain database solutions that meet the needs of our business and clients. You will be responsible for ensuring the performance, availability, and security of our database systems while collaborating with software engineers, data analysts, and IT teams.</p><p> </p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, implement, and maintain highly available and scalable database systems (e.g., SQL, NoSQL).</li><li>Optimize database performance through indexing, query optimization, and capacity planning.</li><li>Create and manage database schemas, tables, stored procedures, and triggers.</li><li>Develop and maintain ETL (Extract, Transform, Load) processes for data integration.</li><li>Ensure data integrity and consistency across distributed systems.</li><li>Monitor database performance and troubleshoot issues to ensure minimal downtime.</li><li>Collaborate with software development teams to design database architectures that align with application requirements.</li><li>Implement data security best practices, including encryption, backups, and access controls.</li><li>Stay updated on emerging database technologies and recommend solutions to enhance efficiency.</li><li>Document database configurations, processes, and best practices for internal knowledge sharing.</li></ul><p><br></p>
<p>We are looking for an Analyst to join a wholesale distribution organization in Miami, Florida. This role focuses on turning financial data for supply chain into practical insights that strengthen planning, improve cost control, and support business performance. </p><p><br></p><p>Location: Brickell Miami</p><p>Schedule: M-F business hours</p><p><br></p><p>Salary $60,000-$80,000 depending on experience </p><p>Bonus, annual bonus opportunity </p><p><br></p><p>Comany and Role Overview: Ditributor and wholesaler of well reconginized brand perishables goods. Offers long term roles with career advancment.</p><p><br></p><p>The ideal candidate has a background as a Financial Analysit to apply to supply chain factors realted to various costs, inventory, variances and profit margins. This role will perform analysis, evaluate trends, maintain reporting accuracy, and drive informed decision-making for Executive Leadsership. The ability to communciate in English and Spanish is highly needed. </p><p><br></p><p>Responsibilities:</p><p>• Examine inventory, procurement, freight, and vendor data to uncover trends, risks, and opportunities that affect operational performance.</p><p>• Develop reocurring reports, visual dashboards, and forward-looking analyses that help leaders make timely strategic and day-to-day decisions.</p><p>• Review stock accuracy and recommend ways to lower carrying costs, reduce waste, and improve overall efficiency.</p><p>• Contribute to forecasting, demand planning, and replenishment activities to support product availability and balanced inventory levels.</p><p>• Apply automation and AI-enabled tools to streamline analysis, enhance reporting quality, and increase productivity.</p><p>• Manage data in Excel spreadsheets using advanced functions and importing from ERP software system. </p><p>• Provide support for supply chain-related software upkeep, data integrity, and ongoing system optimization efforts.</p><p>• Identify workflow bottlenecks and present data-backed recommendations to improve processes and business outcomes.</p><p>• Partner with sourcing, logistics, operations, and finance teams to align analysis with cross-functional priorities.</p><p>• Maintain dependable KPI tracking, operational records, and performance metrics while completing ad hoc modeling and quantitative analysis as needed.</p>