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4 results for Business Intelligence Analyst in Middleton, WI

E-Commerce Analyst

Middleton, WI
onsite
Temporary to Hire
59.375 - 68.75 USD / Hourly
We are looking for an E-Commerce Analyst to join a fast-moving organization in Madison, Wisconsin. This contract opportunity with potential for a permanent role is ideal for someone who combines strong e-commerce platform knowledge with a highly technical mindset and a genuine interest in using AI tools to improve analysis, workflows, and decision-making. The right candidate will be comfortable working in a high-energy team environment, identifying opportunities to improve online performance, and helping drive measurable business results across digital commerce channels. Responsibilities:• Analyze e-commerce performance data to uncover trends, identify growth opportunities, and support decisions that improve digital sales outcomes.• Manage and optimize BigCommerce platform activity, ensuring product presentation, site functionality, and user experience align with business goals.• Partner with cross-functional teams to enhance online storefront performance across marketplace and direct-to-consumer channels.• Evaluate conversion behavior and recommend practical improvements that strengthen the customer journey and increase transaction success rates.• Use technical tools, reporting methods, and emerging AI capabilities to streamline analysis and generate actionable insights more efficiently.• Support ongoing enhancement efforts across e-commerce applications, including updates, testing, and issue resolution in a fast-paced environment.• Monitor site and marketplace activity across platforms such as Shopify, Magento, and eBay to help maintain consistency and performance.• Contribute to digital commerce initiatives by prioritizing high-impact work, responding quickly to changing needs, and helping the team move projects forward.
2026-07-29T00:00:00Z

Data/Information Architect

Madison, WI
onsite
Temporary to Hire
57 - 66 USD / Hourly
We are looking for an experienced Data/Information Architect to help shape and guide modern cloud and data architecture initiatives in Madison, Wisconsin. This contract opportunity is ideal for a senior specialist who can connect enterprise architecture strategy with hands-on engineering across cloud platforms, automation, and scalable data solutions. The role focuses on designing resilient, secure, and high-performing environments that support distributed applications, platform services, and evolving business needs. Responsibilities: • Lead the design of enterprise data and cloud architecture solutions that align technical strategy with operational goals. • Create scalable architectures for distributed applications using microservices, container platforms, and serverless capabilities where appropriate. • Define and implement infrastructure automation standards with tools such as Terraform, Bicep, CloudFormation, or Pulumi to improve consistency and speed. • Establish CI/CD practices and deployment workflows that support reliable software delivery and efficient environment management. • Architect container-based workloads with strong consideration for networking, access control, monitoring, and overall platform stability. • Develop integration patterns and event-driven solution designs that improve interoperability across cloud services and business systems. • Partner with engineering and business stakeholders to document architecture decisions, communicate technical direction, and support long-term roadmap planning. • Contribute to modern data platform design, including data lakes, warehouses, streaming pipelines, and data modeling approaches for analytics and operational use cases. • Promote secure architecture principles by embedding compliance, encryption, least-privilege access, and risk mitigation into platform and data designs. • Mentor team members and encourage engineering best practices across architecture governance, cloud operations, and platform development.
2026-07-20T00:00:00Z

Data Engineer

Madison, WI
onsite
Temporary to Hire
66.5 - 77 USD / Hourly
We are looking for a Data Engineer to join a contract opportunity with permanent potential, supporting data-intensive work in Madison, Wisconsin. This role focuses on building and optimizing modern data solutions that enable scientific and business teams to access reliable, scalable information. The ideal candidate brings deep experience with cloud-based engineering, strong Databricks expertise, and the ability to work across technical and research-focused stakeholders. Responsibilities: • Design, build, and maintain scalable data pipelines that ingest, transform, and deliver complex datasets for analytics and reporting. • Develop and optimize Databricks solutions using Python, Spark, PySpark, and Delta Lake to support high-performance data processing. • Create and enhance cloud-based data architecture in Azure, ensuring reliability, maintainability, and efficient data access. • Partner with cross-functional teams in IT, science, and business to translate research and operational needs into effective data engineering solutions. • Implement data models and warehousing structures that improve reporting accuracy, usability, and long-term scalability. • Manage integration of biological, genomic, or other life sciences data sources while preserving data quality and consistency. • Write and refine database objects such as queries, stored procedures, and functions to support downstream applications and analysis. • Contribute to Agile delivery practices by participating in planning, prioritization, and iterative solution development.
2026-08-03T00:00:00Z

Data Engineer

Madison, WI
onsite
Temporary to Hire
57 - 66 USD / Hourly
We are looking for an experienced Data Engineer to join a team in Madison, Wisconsin, in a contract capacity with the potential for a permanent role. This position will focus on building and optimizing modern data solutions that support scientific and business decision-making, with particular relevance to bioinformatics and life sciences data. The ideal candidate brings deep expertise in cloud-based data engineering, strong hands-on experience with Databricks and Azure, and the ability to collaborate effectively with technical and non-technical partners. Responsibilities: • Design, build, and maintain scalable data pipelines and integration workflows that support reporting, analytics, and downstream scientific applications. • Develop and optimize cloud-based data platforms using Databricks, Python, Spark, and Delta Lake to manage large and complex datasets efficiently. • Create and enhance data models, database objects, and processing logic within relational database environments to improve reliability and performance. • Implement data warehousing practices that enable trusted, organized, and accessible data for research and operational use. • Work with biological, genomic, and other omics data to support analysis, interpretation, and delivery of usable datasets for life sciences teams. • Partner with stakeholders across IT, research, and business functions to translate data needs into practical engineering solutions. • Apply strong analytical thinking to troubleshoot data issues, refine processes, and ensure alignment with scientific requirements. • Contribute within Agile delivery environments by participating in planning, iterative development, and cross-functional collaboration.
2026-08-06T00:00:00Z