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4 results for Business Intelligence Developer in Miami, FL

Data Engineer
  • Fort Lauderdale, FL
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • <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>
  • 2026-06-08T00:00:00Z
Data Engineer
  • Miami, FL
  • onsite
  • Temporary / Contract
  • 50 - 60 USD / Hourly
  • <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>
  • 2026-06-09T00:00:00Z
Sr. Business Analyst
  • Miami, FL
  • onsite
  • Permanent / Full Time
  • 125000 - 130000 USD / Yearly
  • We are looking for a strategic Senior Business Analyst to turn complex marketing and business data into clear insights that support executive decision-making in Miami, Florida. This role will partner closely with leadership and technical teams to strengthen reporting capabilities, improve data reliability, and build scalable analytics solutions. The ideal candidate brings strong experience across business intelligence tools, marketing analytics, and data modeling, with the ability to translate raw information into actionable recommendations.<br><br>Responsibilities:<br>• Develop and refine executive and marketing dashboards using business intelligence platforms such as Looker and other reporting tools.<br>• Partner with data engineering to design and maintain data pipelines that collect, organize, and prepare information for analysis and visualization.<br>• Build and manage core datasets in platforms such as BigQuery to serve as trusted sources for reporting across the business.<br>• Convert raw and fragmented data into structured tables and models that support deeper analysis, segmentation, and performance tracking.<br>• Establish and promote sound data governance and warehouse practices to improve reporting accuracy, consistency, and scalability.<br>• Collaborate with leadership, marketing, and cross-functional teams to answer key business questions through analysis and reporting.<br>• Deliver insights that support campaign optimization, audience targeting, and broader revenue-focused business decisions.<br>• Contribute to the development of attribution reporting frameworks, including first-touch, last-touch, and future multi-touch measurement models.
  • 2026-06-10T00:00:00Z
Data Analyst
  • Miami, FL
  • onsite
  • Temporary / Contract
  • 26 - 34 USD / Hourly
  • <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>
  • 2026-06-09T00:00:00Z