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5 results for Financial Data Analyst in Atlanta, GA

Data Analyst

Alpharetta, GA
onsite
Temporary / Contract
27 - 30 USD / Hourly
OverviewWe 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.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. Responsibilities<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>*PLEASE NOTE: This position is onsite Monday-Friday in Alpharetta, GA and no exceptions will be made. Do not apply to this posting if you're not already local to Metro ATL and willing to work onsite
2026-07-31T00:00:00Z

Billing Analyst

Atlanta, GA
onsite
Temporary / Contract
31 - 34 USD / Hourly
We are looking for a Billing Analyst to support a legal organization in Atlanta, Georgia with specialized electronic billing activities. This Long-term Contract opportunity is ideal for someone with prior law firm billing experience who can manage client billing setups, maintain billing data accuracy, and help keep billing operations moving efficiently. The position follows a hybrid schedule, beginning with onsite training during the first week and transitioning to one in-office day per week thereafter. Responsibilities: • Manage day-to-day electronic billing tasks for legal clients, ensuring timely and accurate processing through approved billing platforms. • Establish new client billing profiles and configure data feeds so billing information is routed correctly within the system. • Review billing records for completeness and accuracy, resolving discrepancies that could delay submission or payment. • Support accounts receivable activity by monitoring billing-related issues and coordinating updates needed for client accounts. • Work within billing and financial systems such as Aderant and other related platforms to maintain organized and reliable records. • Assist with workload stemming from increased billing demand and system-related process changes affecting the billing team. • Communicate with internal stakeholders to address client-specific billing requirements and promote smooth invoice workflows.
2026-07-29T00:00:00Z

Business System Analyst

Atlanta, GA
remote
Permanent / Full Time
110000 - 120000 USD / Yearly
Business Systems Analyst (QAD ERP)Location: Remote - Atlanta GATravel: Minimal (1-2 trips per year, as business needs require)must be eligible to work in the U.S.- This position does not offer sponsorship or C2C now or in the future. About the OpportunityOur 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's ERP environment, driving continuous process improvements, and partnering with business stakeholders to optimize technology solutions.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. What We're Looking ForThe ideal candidate is someone who:<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 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. Responsibilities: • Build, validate, and refine forecasting and predictive models using Python and modern machine learning frameworks for business-driven use cases. • Develop analytical solutions with tools such as scikit-learn, XGBoost, LightGBM, and time-series or deep learning methods based on project needs. • Use Databricks and Apache Spark to process large datasets efficiently and support scalable model development workflows. • Prepare, transform, and organize data by writing queries, performing ETL tasks, and improving data quality for downstream analysis. • Translate technical findings into clear recommendations for clients and stakeholders, emphasizing business impact and user experience. • Partner with customer-facing teams to define problem statements, shape data-driven approaches, and deliver actionable insights in a fast-paced setting. • Apply product thinking when designing models and analytical outputs to ensure solutions align with customer needs and practical use. • 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

Senior Data Scientist

Atlanta, GA
onsite
Permanent / Full Time
160000 - 180000 USD / Yearly
Our client is seeking a Senior Data Scientist to join their Data & Analytics organization and lead the development of advanced machine learning and predictive analytics solutions. This role is ideal for a hands-on data science leader who enjoys solving complex business problems, building production-level ML models, and partnering with cross-functional teams to deliver measurable business impact. The Senior Data Scientist will play a key role in developing and operationalizing machine learning solutions across areas including risk, fraud, customer analytics, marketing, and portfolio management. The successful candidate will bring strong technical expertise across the full machine learning lifecycle and the ability to translate complex data insights into actionable business recommendations. Responsibilities Lead the design, development, validation, deployment, and monitoring of machine learning and predictive analytics solutions. Build, optimize, and maintain production-grade models that drive business outcomes across risk, fraud detection, customer behavior, marketing analytics, and portfolio management. Perform exploratory data analysis, feature engineering, statistical analysis, and hypothesis testing to identify trends and actionable insights. Develop scalable analytics solutions using large structured and unstructured datasets. Translate complex analytical findings into clear recommendations for technical teams, business stakeholders, and leadership. Create dashboards, visualizations, and reporting solutions to communicate model performance, insights, and business impact. Partner with data engineering teams to define data requirements, improve data pipelines, and ensure data quality. Establish and promote best practices around machine learning development, MLOps, model governance, and analytics processes. Lead proof-of-concept initiatives evaluating emerging machine learning techniques and AI technologies. Own the complete model lifecycle, including feature engineering, training, validation, deployment, monitoring, retraining, and optimization. Mentor entry level data scientists through technical guidance, code reviews, and knowledge sharing. Provide technical leadership around modeling strategies, architecture decisions, and analytical methodologies.
2026-07-24T00:00:00Z