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3 results for It Business Intelligence Analyst in Atlanta, GA

Business System Analyst
  • Atlanta, GA
  • remote
  • Permanent / Full Time
  • 110000 - 120000 USD / Yearly
  • <p><strong>Business Systems Analyst (QAD ERP)</strong></p><p><strong>Location</strong>: Remote - Atlanta GA</p><p><strong>Travel</strong>: Minimal (1-2 trips per year, as business needs require)</p><p><strong>must be eligible to work in the U.S.-</strong> <strong>This position does not offer sponsorship or C2C now or in the future.</strong></p><p><br></p><p><strong>About the Opportunity</strong></p><p>Our client is seeking an experienced Business Systems Analyst to support and enhance enterprise business systems across multiple manufacturing locations. This individual will play a key role in supporting the organization&#39;s ERP environment, driving continuous process improvements, and partnering with business stakeholders to optimize technology solutions.</p><p>The ideal candidate has deep experience with QAD ERP, enjoys working cross-functionally with business users, and is passionate about improving business processes through technology.</p><p><br></p><p><strong>What We&#39;re Looking For</strong></p><p>The ideal candidate is someone who:</p><ul><li>Has extensive experience working with QAD ERP.</li><li>Enjoys partnering with business users to solve operational challenges.</li><li>Can translate business needs into technology solutions.</li><li>Thrives in a collaborative environment.</li><li>Is proactive, organized, and customer-focused.</li><li>Takes ownership of projects and drives continuous improvement initiatives.</li></ul>
  • 2026-07-22T00:00:00Z
Data Analyst
  • Alpharetta, GA
  • onsite
  • Temporary / Contract
  • 27 - 30 USD / Hourly
  • <p><strong>Overview</strong></p><p>We are seeking a Data Analyst for an 18-24 month contract to support a large-scale data migration and integration initiative following a recent acquisition. This individual will work closely with a Lead Data Analyst who is responsible for the overall migration strategy and data architecture. The Data Analyst will execute assigned work packages, perform data validation and reconciliation activities, and help ensure data quality throughout the migration process.</p><p>This role is ideal for someone with strong SQL and analytical skills who enjoys working with data, identifying discrepancies, and supporting business-critical data conversion efforts.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Run data extracts from source systems and databases</li><li>Write and execute moderate SQL queries for data analysis and validation</li><li>Map fields between legacy and target systems</li><li>Perform data migration reconciliation and validation activities</li><li>Investigate rejected, missing, or inaccurate records and document findings</li><li>Create basic reports and dashboards using Power BI or Tableau</li><li>Maintain issue logs, conversion files, and migration documentation</li><li>Support testing efforts before and after data migrations</li><li>Escalate complex data or system issues to the Lead Data Analyst or Manager</li><li>Collaborate with project stakeholders to ensure accurate and complete data conversion</li></ul><p><strong>*PLEASE NOTE: </strong>This position is onsite Monday-Friday in Alpharetta, GA and no exceptions will be made. Do not apply to this posting if you&#39;re not already local to Metro ATL and willing to work onsite</p>
  • 2026-07-31T00:00:00Z
Data Scientist
  • 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.
  • 2026-07-17T00:00:00Z