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3 results for Power Bi Dashboard Developer in Coral Springs, FL

Power BI Engineer

Fort Lauderdale, FL
onsite
Temporary
0 - 0 USD / Yearly
We are seeking an experienced Power BI Engineer to design, develop, and maintain business intelligence solutions that provide actionable insights to stakeholders across the organization. The Power BI Engineer will work closely with business teams, data analysts, and IT to transform raw data into interactive dashboards, reports, and analytics solutions that support data-driven decision-making.This role is critical for enabling self-service analytics, operational reporting, and enterprise-wide data visibility. Key Responsibilities<ul><li>Design, develop, and deploy interactive dashboards and reports in Power BI that provide insights into business performance</li><li>Develop data models, DAX formulas, Power Query transformations, and calculated measures for analytics</li><li>Collaborate with business analysts and stakeholders to gather requirements and define KPIs, metrics, and reporting needs</li><li>Integrate and transform data from multiple sources including SQL databases, Excel, ERP/CRM systems, cloud platforms, and APIs</li><li>Build and maintain ETL pipelines for efficient data extraction, transformation, and loading</li><li>Ensure data accuracy, consistency, and governance across dashboards and reports</li><li>Monitor dashboard performance, optimize queries, and troubleshoot data issues</li><li>Train and support business users in self-service reporting and Power BI best practices</li><li>Stay current with Power BI updates, features, and best practices to continuously improve reporting capabilities</li></ul>
2026-04-08T00:00:00Z

Data Scientist

Miami, FL
onsite
Temporary
0 - 0 USD / Yearly
An organization operating at global scale is seeking a Senior Data Scientist to join its corporate data science team. This role goes far beyond traditional analytics—you will develop innovative data-driven technologies, advanced machine learning models, and decision‑support systems that directly influence strategic and operational outcomes across a complex aviation and logistics environment.The ideal candidate combines strong programming capability, deep machine learning expertise, and a solid foundation in operations research, along with the ability to clearly communicate technical insights to leaders across the business.If you’re excited about applying science, experimentation, and advanced analytics to solve real operational problems, this role is an excellent opportunity to make a measurable impact. Position SummaryAs a Senior Data Scientist, you will partner with engineering, product, and business teams to identify opportunities where data science can drive measurable value. You will lead end‑to‑end development of predictive and prescriptive models, contribute to experimentation frameworks, and help shape the organization’s long‑term data science strategy. This role also provides technical leadership and mentorship to junior data science team members. Key ResponsibilitiesStrategic & Technical Leadership<ul><li>Lead the planning, design, and execution of complex data science initiatives aligned with business objectives.</li><li>Translate ambiguous business requirements into well‑defined data science projects, deliverables, and timelines.</li><li>Partner with cross‑functional stakeholders to identify impactful use cases across operations and corporate functions.</li></ul>Data Science & Modeling<ul><li>Develop predictive, prescriptive, and optimization models to enhance operational efficiency and strategic planning.</li><li>Design and run experiments to test hypotheses and measure impact using statistical methods.</li><li>Perform exploratory data analysis to uncover insights, trends, and relationships across large and complex datasets.</li><li>Build and maintain decision‑support tools powered by machine learning and operations research techniques.</li><li>Monitor model performance in production and iterate as needed.</li></ul>Data Engineering & Analysis<ul><li>Collect, clean, and process structured and unstructured data from internal and external sources.</li><li>Perform ETL tasks, develop data pipelines, and apply advanced data preparation techniques.</li><li>Use tools such as SQL, Python, R, Pandas, Spark, or similar frameworks to analyze large datasets.</li></ul>Communication & Collaboration<ul><li>Create compelling visualizations, dashboards, and presentations to communicate complex insights to technical and non‑technical audiences.</li><li>Provide mentorship, guidance, and subject‑matter expertise to junior data scientists.</li><li>Contribute to the evaluation and adoption of emerging technologies, modeling techniques, and industry best practices.</li></ul>
2026-03-23T00:00:00Z

Data Engineer

Boca Raton, FL
onsite
Temporary
0 - 0 USD / Yearly
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. Key Responsibilities:<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>
2026-04-08T00:00:00Z