{"id":1634156,"url":"https://alion.io/job/hr360-business-intelligence-bi-developer-temporary-assignment","title":"Business Intelligence (BI) Developer - Temporary Assignment","company":{"id":2080067,"name":"Zywave","domain":"zywave.com","url":"https://alion.io/company/zywave-com","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Dayforce","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":86000,"max_usd":165000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":685},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-28T07:00:00Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-11T00:32:28Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"Join a fast-moving, high-impact team that is modernizing how we use data, insights, and agile delivery across the organization. As a key player in our Data & Analytics department, you will have the opportunity to shape the delivery lifecycle, drive innovative data initiatives, and collaborate with senior leaders across business and technical teams.\nThe ideal candidate combines strong BI development and analytical skills with practical data engineering experience and a solid understanding of data modeling, SQL, data quality, and governance. The role is responsible for designing, developing, and supporting enterprise business intelligence and data solutions using PowerBI and Microsoft Fabric to enable trusted, scalable, and insightful analytics solutions that drive business value across the organization.\nKEY RESPONSIBILITIES\nBusiness Intelligence & Power BI Development — 50%\nTranslate business requirements into well-defined analytical and BI problems, designing solutions that provide actionable insights and support data-driven decision-making.\nDesign, develop, and maintain robust, user-friendly dashboards and reports in Power BI that effectively communicate key insights.\nAnalyze source data and underlying business processes to ensure accuracy, context, and appropriate interpretation of insights.\nPerform data validation and reconciliation between source systems, transformed datasets, semantic models, and reports to ensure reporting accuracy and reliability.\nContinuously improve BI outputs by enhancing data quality, report performance, and usability based on stakeholder feedback.\nApply best practices in data visualization, dashboard design, and documentation to ensure consistency and scalability of BI solutions.\nDevelop and maintain technical and business documentation, including metric definitions, data lineage, model documentation, report specifications, and support procedures.\nMicrosoft Fabric & Data Engineering — 50%\nDesign, build, and maintain data pipelines using Microsoft Fabric, including ETL and ELT processes, to support efficient data ingestion, transformation, and delivery across enterprise systems.\nDevelop and manage moderate to complex workflow orchestrations, ensuring proper scheduling, dependency handling, monitoring, and fault tolerance across data processes.\nSupport the design and maintenance of Lakehouse/Warehouse data models and curated analytical datasets optimized for Power BI consumption.\nTroubleshoot, diagnose, and resolve data pipeline issues and performance bottlenecks, ensuring high availability and system reliability.\nCollaborate with data engineers, application teams, and system owners to understand source-system structures, establish appropriate data integrations, and ensure data availability. 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