> Markdown version of [/jobs/ext/3143884-bi-software-engineer](https://www.wearedevelopers.com/jobs/ext/3143884-bi-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # BI SOFTWARE ENGINEER - **Company:** Shiftcode Analytics, Inc - **Location:** Reading, PA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Business Analytics Applications, Data Analysis, Cloud Computing, Data Integration, Extract Transform Load (ETL), Data Visualization, Data Warehousing, Qliksense, Qlikview - **Published:** September 29, 2026 - **Apply:** https://www.dice.com/job-detail/118dfb8b-61d6-4a7b-80c4-b96407e335dc ## About the Role * Minimum 8 years of experience in Business Intelligence, Analytics, Data Warehousing, or a related field. * Strong hands-on experience with Qlik Sense, Qlik Cloud, and ZenOptics. * Proven experience supporting multiple business functions and stakeholders. * Strong understanding of data modeling, dashboard development, reporting, and analytics best practices. * Excellent communication, stakeholder management, and problem-solving skills. * Ability to work independently and manage multiple priorities in a fast-paced environment. Preferred Experience * Experience supporting enterprise reporting environments. * Familiarity with data integration, ETL processes, and cloud-based analytics platforms. * Experience working directly with business leaders to define and implement analytics strategies. ## Description * Support, develop, and maintain BI solutions using Qlik Sense, Qlik Cloud, and ZenOptics. * Partner with 5+ business departments to understand analytical requirements and deliver reporting and dashboard solutions. * Provide guidance and support for business intelligence, data visualization, and self-service analytics initiatives. * Gather and document business requirements and translate them into scalable BI solutions. * Troubleshoot, optimize, and enhance existing dashboards, reports, and analytics applications. * Collaborate with business users and technical teams to drive adoption and maximize business value from analytics platforms.