<p>We are looking for a Data Analyst to join a collaborative team in Atlanta, Georgia, where data is used to guide business strategy and operational decisions. This opportunity is ideal for someone who enjoys translating complex information into clear reporting and practical recommendations. The person in this role will partner with stakeholders across the business to uncover patterns, improve data quality, and deliver meaningful insights through analysis and visualization.</p><p><br></p><p>Responsibilities:</p><p>• Create interactive dashboards and recurring reports that help teams monitor performance and identify areas for improvement.</p><p>• Examine large and varied datasets to uncover trends, exceptions, and actionable business insights.</p><p>• Develop and run database queries to extract, organize, and interpret information from multiple sources.</p><p>• Review, reconcile, and validate data to maintain accuracy, consistency, and reliability in reporting outputs.</p><p>• Communicate findings to business partners and leadership through clear presentations, summaries, and visual storytelling.</p><p>• Work closely with cross-functional teams to support informed decision-making with timely analytical input.</p><p>• Apply analytical techniques to fraud-related data to help detect suspicious activity and strengthen anti-fraud efforts.</p>
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.
<p><b>ONSITE</b></p><p>Seeking a Data Engineer to build and optimize scalable data pipelines and platforms supporting enterprise analytics, reporting, and AI initiatives.</p><p> </p><p><strong>Responsibilities</strong></p><ul><li>Build ETL/ELT pipelines (batch & streaming)</li><li>Design scalable data architectures (Lakehouse, warehouse)</li><li>Ensure data quality, governance, and security</li><li>Optimize performance, cost, and reliability</li><li>Partner with analytics, BI, and engineering teams</li></ul>
<p>We are looking for a Data Engineer to join an opportunity in Atlanta, Georgia. In this role, you will design and support reliable data solutions that enable efficient reporting, analytics, and downstream business insights across cloud-based platforms. The ideal candidate brings strong engineering fundamentals, enjoys working with diverse data sets, and can help shape scalable architecture in a collaborative enterprise environment.</p><p><br></p><p>Responsibilities:</p><p>• Design, build, and maintain robust data pipelines that move and transform information from a variety of internal and external sources.</p><p>• Develop efficient integration processes to unify structured and unstructured data for analytics, reporting, and operational use cases.</p><p>• Improve the speed, reliability, and scalability of existing data workflows through tuning, monitoring, and process optimization.</p><p>• Create and refine data models that support business intelligence, advanced analytics, and decision-making needs.</p><p>• Administer and enhance cloud-based data environments across modern platforms, ensuring stability, security, and performance.</p><p>• Partner closely with analytics and business teams to understand data needs and deliver accessible, high-quality datasets.</p><p>• Implement ETL solutions using Python, Spark, and cloud-native services to support enterprise data operations.</p><p>• Contribute to best practices for data engineering, documentation, and cross-functional collaboration within a consultative delivery model</p>
We are looking for a Senior Analyst to join our team in Carrollton, Georgia. This role is ideal for an individual with strong attention to detail and expertise in IT governance and business analysis. You will play a key part in monitoring IT metrics and ensuring effective reporting processes across various systems.<br><br>Responsibilities:<br>• Conduct thorough IT audits to evaluate system performance and compliance with governance standards.<br>• Prepare and distribute detailed metrics reports on IT operations, including financial data and status updates.<br>• Collaborate with project managers to enhance reporting capabilities and support strategic initiatives.<br>• Analyze existing IT processes to identify gaps and recommend improvements.<br>• Assist in the implementation and monitoring of systems like ServiceNow and S/4 Hana.<br>• Provide detailed documentation and analysis for IT-related projects.<br>• Support cross-functional teams with data-driven insights to improve efficiency.<br>• Ensure attention to detail in all aspects of IT reporting and project documentation.<br>• Stay updated on industry standards and best practices to maintain high-quality governance.<br>• Communicate findings and recommendations effectively to stakeholders.
<p>We are looking for a Database Administrator to join a team supporting complex enterprise database environments. This opportunity is ideal for someone who excels at maintaining stable, secure, and efficient database systems while partnering with technical teams to solve performance and availability challenges. The role centers on administration, optimization, recovery planning, and continuous improvement across Oracle and Microsoft SQL Server platforms.</p><p><br></p><p>Responsibilities:</p><p>• Administer and maintain enterprise database platforms, including Oracle and Microsoft SQL Server, to support reliable day-to-day operations.</p><p>• Monitor database health proactively, investigate issues quickly, and take corrective action to improve stability and system performance.</p><p>• Analyze execution behavior and refine database structures or queries to strengthen response times and overall efficiency.</p><p>• Develop, manage, and validate backup, recovery, and disaster recovery processes to protect critical data and maintain business continuity.</p><p>• Plan and perform database patching, upgrades, and version evaluations while minimizing operational risk.</p><p>• Configure and support clustered database environments, including troubleshooting failover and high-availability related issues.</p><p>• Work closely with application and development teams to resolve database-related incidents, support releases, and align technical solutions with business needs.</p><p>• Maintain clear operational documentation, track service requests through resolution, and respond to alerts or escalations within established service expectations.</p>