Senior Business Intelligence Developer

Description TriNet is a leading provider of comprehensive human resources solutions for small to midsize businesses (SMBs). We enhance business productivity by enabling our clients to outsource their HR function to one strategic partner and allowing them to focus on operating and growing their core businesses. Our full-service HR solutions include features such as payroll processing, human capital consulting, employment law compliance and employee benefits, including health insurance, retirement plans and workers compensation insurance. TriNet has a nationwide presence and an experienced executive team. Our stock is publicly traded on the NYSE under the ticker symbol TNET. If youre passionate about innovation and making an impact on the large SMB market, come join us as we power our clients business success with extraordinary HR. Don't meet every single requirement Studies have shown that many potential applicants discourage themselves from applying to jobs unless they meet every single requirement. TriNet always strives to hire the most qualified candidate for a particular role, ensuring we deliver outstanding results for our small and medium-size customers. So if you're excited about this role but your past experience doesn't align perfectly with every single qualification in the job description, nobodys perfect and we encourage you to apply. You may just be the right candidate for this or other roles. A Brief Overview As a member of the Enterprise Data & Analytics team, the Senior Business Intelligence Developer is responsible for designing, developing, and enhancing enterprise BI solutions that enable trusted, insightdriven decisionmaking. This role combines deep handson BI expertise with strong business partnership, working closely with stakeholders, data enablement, and data science teams to deliver highquality reporting and visual analytics. The Senior BI Developer ensures BI solutions are accurate, scalable, wellgoverned, and aligned to business priorities. This role plays a key part in advancing visualisation standards, supporting analytical use cases, and driving adoption of best practices across the BI ecosystem. BI Solution Design & Development Design, develop, and maintain enterprise BI dashboards and reports using Power BI, ensuring clear, effective insights while maintaining high standards of data accuracy and consistency. Translate business needs into technical BI solutions, applying advanced visualisation techniques to support diverse analytical use cases. Continuously enhance dashboard performance, usability, and storytelling to support business and leadership decisionmaking. Data Analysis & Visualization Assist in analysing data to model ideal customer profiles, identify key trends, patterns, and insights across business domains. Translate data findings into compelling visualisations that aid understanding of complex datasets. Support business insights through the development of descriptive and diagnostic reporting, selecting appropriate visualisations to identify trends, variances, and outliers. Business Partnership & Insight Enablement Partner closely with business stakeholders to gather, clarify, and validate reporting and analytics requirements. Refine problem statements, success metrics, and analytical outcomes in collaboration with business teams. Translate analytical results into clear, executiveready insights that support informed decisionmaking. Data Integration & Platform Collaboration Responsible for incorporating new data sources from thirdparty applications for use in dashboards and reports, in conjunction with the data enablement team. Partner with data engineering and platform teams to ensure source data is reliable, wellmodelled, and performant for BI consumption. Ensure adherence to enterprise standards for data quality, governance, access controls, and metric definitions. CrossFunctional Collaboration & Optimisation Partner with the data science team to optimise database objects based upon business requirements, enabling advanced analytics, experimentation, and insight generation. Collaborate with upstream teams on schema design, aggregations, and performance improvements that support both BI and advanced analytics use cases. Act as a strong collaborator across BI, data engineering, and data science teams to deliver cohesive, endtoend analytical solutions. Standards, Quality & Continuous Improvement Contribute to BI development standards, visualisation guidelines, and documentation practices. .