<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>
<p>We are looking for an AI Consultant to help shape and deliver Microsoft Copilot solutions for enterprise teams in Atlanta, Georgia. This contract opportunity with permanent potential centers on turning business needs into practical AI-enabled workflows by connecting Microsoft technologies with core business platforms. The role blends business analysis, solution design, and hands-on collaboration to improve productivity, strengthen governance, and support scalable adoption across the organization.</p><p><br></p><p>Responsibilities:</p><p>• Iidentify where Microsoft Copilot can create measurable efficiency and workflow improvements.</p><p>• Deliver integrations that connect Copilot capabilities with Azure services, Microsoft 365 applications, and enterprise platforms through APIs and related tools.</p><p>• Partner with business leaders, technical teams, and end users to gather requirements, define use cases, and translate needs into solution plans.</p><p>• Evaluate existing workflows and recommend automation opportunities that align AI functionality with operational goals.</p><p>• Resolve technical and functional issues during implementation, testing, and rollout to support stable deployments.</p><p>• Establish solution approaches that address security, compliance, performance, and long-term scalability requirements.</p><p>• Coordinate with cross-functional stakeholders to ensure AI-enabled solutions are adopted effectively and deliver business value</p>
<p><strong>Overview</strong></p><p>Our client is seeking an experienced Technical Business Analyst (HCM) to support a large-scale Human Capital Management transformation initiative. This role will play a key part in gathering business requirements, documenting processes, mapping integrations, and supporting the migration from ADP to new HCM system (most likely Oracle).</p><p>This is a highly visible position working closely with IT leadership, business stakeholders, and application teams to ensure a smooth transition to the new HCM platform. The ideal candidate will bring a strong blend of business analysis expertise, HCM domain knowledge, and exceptional communication skills.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Partner with HR, IT, and business stakeholders to gather, analyze, and document business and system requirements</li><li>Create detailed user stories, process flows, requirements documentation, and functional specifications</li><li>Lead requirements workshops and stakeholder meetings</li><li>Analyze current-state and future-state HCM processes</li><li>Support HCM migration initiatives, including data mapping and process transformation activities</li><li>Collaborate with technical teams on integrations, interfaces, and system enhancements</li><li>Assist with testing, validation, defect resolution, and user acceptance testing efforts</li><li>Identify process improvement opportunities and recommend solutions that align with business objectives</li><li>Provide regular project updates and communicate effectively with both technical and non-technical audiences</li></ul><p><strong>*Please note: </strong>This is a hybrid position with 4 days onsite/week in Smyrna, GA. Please don't apply to this posting if you're not already local to Metro Atlanta and willing to work onsite</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>We are looking for a Compensation Analyst to support global incentive and commission operations for customer-facing teams in Atlanta, GA. This is a long-term contract position focused on maintaining accurate compensation processes, strengthening reporting quality, and improving operational consistency across cross-functional programs. The role is well suited for someone who enjoys working with large datasets, Salesforce-based reporting, and business process coordination in a fast-paced onsite environment.</p><p><br></p><p>Responsibilities:</p><p>• Administer incentive and commission activities for global customer experience teams, ensuring documentation, calculations, and records are completed accurately and on time.</p><p>• Maintain seller plan details and support recurring compensation calculations for customer success and services team members across multiple regions.</p><p>• Analyze reporting outputs and large datasets to identify discrepancies, validate results, and improve confidence in commission-related information.</p><p>• Build and refine Salesforce and Excel-based reports that support operational visibility, performance tracking, and compensation administration.</p><p>• Partner with compensation, operations, finance, and business stakeholders to address issues, answer program-related questions, and support informed decisions.</p><p>• Contribute to enhancements in planning and maintenance workflows by identifying inefficiencies and recommending practical process improvements.</p><p>• Prepare organized documentation, supporting exhibits, and audit-ready records for incentive administration and ongoing business reviews.</p><p>• Assist with cross-functional operational projects tied to customer experience programs, reporting processes, and commission tracking needs.</p>
<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 Data Engineer to join a fast-paced IT consulting environment in Atlanta, Georgia. In this role, you will design and optimize modern data solutions that support analytics, machine learning, and business decision-making across a variety of client initiatives. The ideal candidate brings strong technical depth in cloud-based data engineering along with a practical, solution-oriented mindset. This position is well suited for someone who enjoys turning complex data challenges into scalable and reliable platforms.<br><br>Responsibilities:<br>• Build and maintain robust data pipelines that move, transform, and prepare information for reporting, analytics, and operational use.<br>• Design end-to-end data solutions within Azure-based environments, using the right services and frameworks to support performance, reliability, and scale.<br>• Develop engineering workflows with Python and PySpark to process both structured datasets and more complex unstructured sources.<br>• Create and support data architecture components in Microsoft Fabric, Databricks, and related platforms to enable efficient data access and delivery.<br>• Implement pipeline orchestration and workflow automation through Databricks tools to streamline recurring data operations.<br>• Support machine learning initiatives by preparing high-quality datasets and building pipelines that feed model development and deployment processes.<br>• Apply sound data management practices to ensure consistency, usability, and governance across data assets.<br>• Work within Azure DevOps-driven delivery environments to contribute to version control, deployment processes, and collaborative engineering practices.<br>• Partner with stakeholders to understand business objectives, translate requirements into technical solutions, and deliver strong client-focused outcomes.
We are looking for an experienced Sr. Financial Analyst to support high-impact financial planning and analytical efforts for a growing organization in Atlanta, Georgia. This Long-term Contract position is ideal for someone who can translate complex financial data into clear business insights and provide dependable support for forecasting, modeling, and performance evaluation. The successful candidate will work across multiple data sources, develop actionable analysis, and help leadership make informed financial decisions.<br><br>Responsibilities:<br>• Build and maintain financial models that support budgeting, forecasting, and strategic planning activities.<br>• Evaluate financial results against plans and prior periods, identifying trends, risks, and key performance drivers.<br>• Perform detailed variance reviews and explain differences through clear, data-backed reporting.<br>• Deliver ad hoc financial analysis to support leadership decisions, operational initiatives, and business priorities.<br>• Gather, organize, and interpret large datasets using data mining techniques to uncover meaningful insights.<br>• Prepare recurring and on-demand financial reports for stakeholders, ensuring accuracy and relevance.<br>• Partner with cross-functional teams to collect inputs, validate assumptions, and improve financial visibility.<br>• Use Microsoft Dynamics 365 Business Central and related tools to analyze financial information and support reporting processes.
We are looking for an AML/KYC Analyst to support financial crime investigations for a Long-term Contract opportunity based in Atlanta, Georgia. In this role, you will review potentially suspicious activity, assess risk indicators, and help ensure investigative work is completed accurately and within established timelines. The position is ideal for a highly organized individual who can balance regulatory expectations, quality standards, and clear communication with internal partners.<br><br>Responsibilities:<br>• Conduct investigations related to potential money laundering, fraud, terrorist financing, and other external financial crime concerns across assigned business areas.<br>• Manage casework from initial review through resolution, ensuring documentation is thorough and productivity and quality expectations are consistently achieved.<br>• Prepare clear, accurate suspicious activity reports for escalation to regulatory authorities or law enforcement when warranted.<br>• Summarize investigative findings for leadership and key stakeholders, highlighting possible compliance, operational, or financial crime risks.<br>• Collaborate with financial crimes teams and business partners to gather information, resolve alerts, and move investigations to conclusion.<br>• Support investigative operations through activities such as quality review, guidance sharing, training assistance, monitoring feedback, and law enforcement coordination when needed.<br>• Contribute input to scenario refinement, control effectiveness reviews, and testing efforts that strengthen investigative processes.<br>• Use tools such as Microsoft Excel and related systems to organize case data, analyze information, and maintain accurate records.