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3 results for Business Intelligence Developer in Atlanta, GA
- Alpharetta, GA
- onsite
- Temporary / Contract
- 44 - 47 USD / Hourly
- <p>We are seeking an experienced IT Business Analyst to support multiple initiatives within the Coplogic business unit, which delivers data capture and reporting solutions for law enforcement agencies. This role will focus on analyzing business processes, identifying gaps between agency-specific requirements and existing systems, and documenting detailed functional specifications to support the implementation of Crash, Citation, and other law enforcement data capture forms.</p><p>The Business Analyst will work closely with business stakeholders, product management, and agile development teams to ensure solutions meet cost, quality, and strategic objectives.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Analyze, define, and document business requirements and end-to-end business processes.</p><p>· Perform gap analysis between agency needs, current data capture processes, and existing system functionality.</p><p>· Document field-level requirements, workflows, and form-to-PDF specifications.</p><p>· Develop functional and system specifications, process flows, and conversion strategies.</p><p>· Translate business requirements into user stories and functional specifications for agile development teams.</p><p>· Identify and document process improvements based on analysis of work group data and industry best practices.</p><p>· Perform analysis on existing systems, identifying solution options and assessing technical and business feasibility.</p><p>· Collaborate across remote development teams, internal IT groups, and business stakeholders to ensure requirements are understood and delivered.</p><p>· Follow established business processes, quality standards, and development methodologies.</p><p>· Contribute to the development of new tools, processes, and solutions aligned with product objectives.</p>
- 2026-04-13T00:00:00Z
- Atlanta, GA
- onsite
- Permanent / Full Time
- 100000 - 125000 USD / Yearly
- <p>We are seeking a Data Scientist to support and enhance production analytics and machine learning solutions. This role focuses on improving model performance, scalability, and reliability while partnering with cross-functional teams to deliver impactful data-driven outcomes.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Develop, evaluate, and deploy machine learning and analytics solutions in production environments.</li><li>Analyze existing models and data workflows; identify opportunities for improvement and modernization.</li><li>Collaborate with product, engineering, and business teams to deliver scalable solutions.</li><li>Establish performance monitoring, testing, and iteration processes for continuous improvement.</li><li>Contribute to data pipeline development and ensure high-quality, reliable datasets.</li></ul><p><br></p>
- 2026-04-24T00:00:00Z
- Atlanta, GA
- onsite
- Permanent / Full Time
- 120000 - 140000 USD / Yearly
- We are looking for a Data Scientist to join a fast-moving IT consulting environment in Atlanta, Georgia. This role focuses on turning complex data into practical business insights, with a strong emphasis on forecasting, predictive modeling, and customer-focused problem solving. The ideal candidate combines advanced machine learning expertise with hands-on data preparation skills and can clearly explain how analytical work influences end users and business outcomes.<br><br>Responsibilities:<br>• Build, validate, and refine forecasting and predictive models using Python and modern machine learning frameworks for business-driven use cases.<br>• Develop analytical solutions with tools such as scikit-learn, XGBoost, LightGBM, and time-series or deep learning methods based on project needs.<br>• Use Databricks and Apache Spark to process large datasets efficiently and support scalable model development workflows.<br>• Prepare, transform, and organize data by writing queries, performing ETL tasks, and improving data quality for downstream analysis.<br>• Translate technical findings into clear recommendations for clients and stakeholders, emphasizing business impact and user experience.<br>• Partner with customer-facing teams to define problem statements, shape data-driven approaches, and deliver actionable insights in a fast-paced setting.<br>• Apply product thinking when designing models and analytical outputs to ensure solutions align with customer needs and practical use.<br>• Contribute domain knowledge to projects involving retail or consumer goods data, helping tailor models to industry-specific patterns and challenges.
- 2026-05-01T00:00:00Z