We are looking for a skilled Data Analyst to join our team in Spring, Texas. This long-term contract position offers an excellent opportunity to utilize your expertise in fraud investigation and analytics while contributing to meaningful data-driven insights. If you enjoy analyzing complex datasets and identifying patterns to prevent fraudulent activities, this role is for you.<br><br>Responsibilities:<br>• Analyze large datasets to identify trends, anomalies, and patterns indicative of fraudulent activities.<br>• Develop and implement fraud detection strategies using advanced analytics and investigative techniques.<br>• Collaborate with cross-functional teams to collect and organize data for fraud prevention initiatives.<br>• Conduct detailed investigations into suspected fraudulent activities and recommend appropriate actions.<br>• Create reports and dashboards to communicate findings and support decision-making processes.<br>• Maintain up-to-date knowledge of fraud detection tools and techniques to enhance operational effectiveness.<br>• Monitor ongoing transactions and activities to detect and mitigate potential fraud risks.<br>• Work closely with stakeholders to understand business needs and deliver impactful data analysis.<br>• Ensure the accuracy and integrity of data used for fraud analytics and reporting.<br>• Provide training and guidance to team members on fraud analytics best practices.
We are looking for an experienced Data Analyst to join our team on a long-term contract basis. This role is essential in ensuring the accuracy and integrity of client specialist data while maintaining high service standards. Based in Minneapolis, Minnesota, the position offers the opportunity to work remotely, collaborating across teams to deliver meaningful insights and solutions.<br><br>Responsibilities:<br>• Resolve data-related incidents by updating records and querying various data sources.<br>• Apply specialist quality standards to maintain data integrity.<br>• Validate data accuracy across multiple systems to ensure consistency.<br>• Update client data based on specific requirements while adhering to service level agreements.<br>• Configure software applications both before and after system go-live.<br>• Collaborate with care organizations to gather and update data in alignment with requirements.<br>• Provide support in managing data updates and ensuring the availability of accurate information.<br>• Utilize advanced Excel formulas to standardize and compare data efficiently.<br>• Foster effective communication with clients and stakeholders to address data needs and changes.
<p>We are looking for an experienced Data Analyst III to join our team. In this role, you will apply advanced mathematical and data modeling techniques to deliver insightful business analyses and recommendations. You will collaborate with multiple business groups and senior stakeholders to drive informed decision-making and enhance processes. This is a long-term contract position offering an exciting opportunity to work on complex projects and influence strategic outcomes.</p><p><br></p><p>Responsibilities:</p><p>• Conduct detailed analyses to identify trends and provide actionable recommendations for business solutions.</p><p>• Summarize and present findings through reports, charts, and presentations to stakeholders.</p><p>• Develop and refine analytical models to support future business decisions.</p><p>• Collaborate with business teams to gather requirements and design effective data analysis strategies.</p><p>• Retrieve, verify, and prepare data from various sources for accurate reporting.</p><p>• Create advanced queries and tools to simplify data management and reporting processes.</p><p>• Forecast outcomes and analyze trends to support strategic planning and process improvements.</p><p>• Act as a liaison between departments, providing data-driven insights and answering queries about business processes.</p><p>• Mentor and guide less experienced team members, assigning tasks and ensuring project deliverables.</p><p>• Support cross-functional projects and provide input to external groups, vendors, or agencies as needed.</p>
<p>Our client is seeking a Data Scientist II – Generative AI to join a cutting-edge team focused on building scalable, production-ready AI solutions that transform business workflows and deliver measurable impact across global operations. This role is ideal for professionals passionate about leveraging Generative AI technologies, creating intelligent agents, and driving innovation at scale.</p><p><br></p><p>You will design and implement GenAI-powered agents that streamline internal processes, enhance productivity, and support business development initiatives. Responsibilities include developing robust prompt engineering frameworks, building RAG pipelines, and converting prototypes into production-ready solutions. You’ll collaborate closely with engineering and business teams to ensure solutions meet diverse client needs and are optimized for global deployment.</p><p><br></p><p>Key projects include extending the company’s GPT platform, creating AI agents that improve efficiencies for RFP development, onboarding materials, and SOW requirements. Success in this role means quickly ramping up on backlog projects, delivering high-priority initiatives, and staying ahead of emerging GenAI frameworks to continuously advance internal AI capabilities.</p>
<p><strong>Data Modeling and Analysis</strong></p><ul><li>Design data models and optimize performance: Creating the structure of data relationships ensuring efficient data retrieval and calculations.</li><li>Create calculated columns and measures: Using DAX to calculate derived values and aggregate metrics.</li><li>Perform exploratory data analysis (EDA): Using BI tools to explore data, identify trends, and patterns.</li><li>Apply advanced data analysis techniques (e.g., statistical analysis, time series analysis, predictive modeling).</li><li>Integrate machine learning models into Power BI dashboards.</li><li>Experience building semantic models</li></ul><p><strong>Dashboard Development and Visualization</strong></p><ul><li>Designing dashboards: Creating visually appealing and interactive dashboards.</li><li>Creating visualizations: Using charts, graphs, and other visual elements to represent data.</li><li>Implementing interactivity: Adding filters, slicers, and drill-down capabilities.</li><li>Expertise in SQL and DAX and knowledge of Python, R.</li><li>Strong proficiency in Power BI.</li><li>Data modeling and visualization skills.</li><li>Strong problem-solving skills to address technical challenges and data quality issues.</li><li>Analytical skills with capacity to analyze complex data problems and draw meaningful insights.</li></ul>
<p>The Senior Data Engineer plays a key role in architecting, developing, and operating reliable, production-ready data solutions that enable analytics, automation, and operational processes across our client’s organization.</p><p><br></p><p>Operating within a modern, cloud-based data ecosystem, this role is responsible for bringing together data from internal platforms and external partners, transforming it into trusted, high-quality assets, and delivering it consistently to downstream users and systems. The work spans the full data lifecycle—ingestion, orchestration, transformation, and delivery—and blends advanced SQL development with Python-based pipeline and workflow automation.</p><p><br></p><p>This role sits at the intersection of data and systems engineering and works closely with Business Intelligence, Business Technology, and operational teams to ensure data solutions are scalable, dependable, and aligned with real business outcomes.</p><p><br></p><p><br></p><p><br></p><p><br></p>
We are looking for an experienced Data Engineer to join our team in Newtown Square, Pennsylvania. In this long-term contract position, you will play a pivotal role in designing and implementing robust data solutions to support organizational goals. This is an exciting opportunity to lead the development of modern data architectures and collaborate with diverse teams to drive impactful results.<br><br>Responsibilities:<br>• Lead the implementation of an enterprise Snowflake data lake, ensuring timely delivery and optimal performance.<br>• Oversee the integration of multiple data sources, including Oracle Financials, PostgreSQL, and Salesforce, into a unified data platform.<br>• Collaborate with finance teams to facilitate a transition to a 12-month accounting calendar and support accelerated financial close processes.<br>• Develop and maintain multi-source analytics dashboards to enhance operational insights and decision-making.<br>• Manage day-to-day operations of the Snowflake platform, focusing on performance tuning and cost optimization.<br>• Ensure data quality and reliability, providing business users with a trustworthy platform.<br>• Document architectural designs, data workflows, and operational procedures to support sustainable data management.<br>• Coordinate with external vendors to meet project deadlines and ensure successful implementations.
We are looking for an experienced Data Engineer to join our team in New York, New York. In this role, you will design, build, and maintain data infrastructure to support business intelligence and analytics needs. The ideal candidate will have a strong technical background, a passion for working with complex datasets, and expertise in cloud-based data platforms.<br><br>Responsibilities:<br>• Develop, implement, and optimize ETL pipelines to ensure efficient data processing and integration.<br>• Design and maintain scalable data solutions, including data warehouses and data lakes.<br>• Collaborate with cross-functional teams to identify data requirements and deliver actionable insights.<br>• Utilize Snowflake, AWS, and other cloud-based platforms to manage data infrastructure and ensure performance optimization.<br>• Leverage Python and SQL to build robust data workflows and automate processes.<br>• Employ orchestration tools like Airflow and dbt to streamline data operations.<br>• Support data analytics and visualization efforts by enabling the creation of impactful dashboards using tools such as Tableau.<br>• Work with marketing and product data sources, including platforms like Google Analytics, to extract and integrate valuable insights.<br>• Implement CI/CD pipelines and DevOps practices to enhance data engineering processes.<br>• Ensure data security and compliance across all systems and tools.
We are looking for a skilled Data Engineer to join our team in Wyoming, Michigan. This Contract to permanent role offers an exciting opportunity to design, manage, and optimize data architecture and engineering solutions across a dynamic healthcare organization. The ideal candidate will play a key role in ensuring efficient data governance and infrastructure performance while collaborating with cross-functional teams.<br><br>Responsibilities:<br>• Develop and maintain robust data architectures and frameworks, including relational and graph databases, to meet business objectives.<br>• Create and manage data pipelines to extract, transform, and load data from various sources into data warehouses.<br>• Ensure data governance policies are implemented and monitored, including retention and backup protocols.<br>• Collaborate with teams across departments to translate business requirements into technical specifications.<br>• Monitor and optimize the performance of data assets, identifying opportunities for improvement.<br>• Design scalable and secure data solutions using cloud-based platforms like AWS and Microsoft Azure.<br>• Implement advanced tools and technologies, such as AI, to enhance data analytics and processing capabilities.<br>• Mentor and support team members by sharing technical expertise and providing guidance.<br>• Establish key performance indicators (KPIs) to measure database performance and drive continuous improvement.<br>• Stay up to date with emerging trends and advancements in data engineering and architecture.
<p>We are looking for a skilled Data Analyst / Engineer to join our team on a contract basis remotely. This role focuses on financial data processing, automation, and reporting within a dynamic environment. The ideal candidate will excel at managing data workflows, automating manual processes, and delivering accurate insights to support business decisions.</p><p><br></p><p>Responsibilities:</p><p>• Extract and reconcile financial data from multiple databases, ensuring accuracy and consistency across accounts receivable, accounts payable, and general ledger lanes.</p><p>• Automate manual reporting processes by developing repeatable daily and month-end pipelines for reliable and auditable data.</p><p>• Design and oversee data workflows across development, production, and utility databases, ensuring secure and efficient access.</p><p>• Create and deliver advanced Excel-based reports using macros, formulas, and Power Query to enhance usability for finance teams.</p><p>• Implement data validation and snapshot techniques to support reconciliation and decision-making processes.</p><p>• Ensure the traceability and accuracy of financial data by establishing robust controls and audit mechanisms.</p><p>• Collaborate with stakeholders to understand reporting requirements and translate them into scalable solutions.</p><p>• Utilize expertise in SQL and Teradata Data Warehouse to optimize database objects and queries for performance.</p><p>• Develop and maintain documentation for automated processes and data workflows to ensure clarity and continuity.</p>