BI Analyst

Job Description

Develop interactive dashboards and reports in Amazon QuickSight using pre-configured data sets and schema definitions, ensuring outputs are intuitive and actionable Create and manage calculated fields and derived metrics from base datasets to support key business questions and performance monitoring Extend QuickSight capabilities beyond basic usage leveraging advanced features such as parameters, actions, filters, and embedded visualizations based on documentation and community insights Collaborate with cross-functional teams including product managers, UX designers, data engineers, software engineers, and clinical operations to ensure dashboards align with user needs and operational goals Validate and QA dashboards, ensuring that visualizations meet design standards, stakeholder expectations, and data quality benchmarks Other duties as assigned Overview BI Analyst India: Bengaluru - hybrid Emmes Group: Building a better future for us all Emmes Group is transforming the future of clinical research, bringing the promise of new medical discovery closer within reach for patients Emmes Group was founded as Emmes more than 47 years ago, becoming one of the primary clinical research providers to the US government before expanding into public-private partnerships and commercial biopharma Emmes has built industry leading capabilities in cell and gene therapy, vaccines and infectious diseases, ophthalmology, rare diseases, and neuroscience We believe the work we'do will have a direct impact on patients lives and act accordingly We strive to build a collaborative culture at the intersection of being a performance and people driven company we're looking for talented professionals eager to help advance clinical research as we work to embed innovation into the fabric of our company If you share our motivations and passion in research, come join us! Primary Purpose The Business Intelligence Analyst role requires design and development of interactive dashboards and reports using Amazon QuickSight Responsibilities include creating calculated fields, building insightful visualizations, and ensuring data accuracy through validation and debugging This role involves close collaboration with engineers, data scientists, and designers to deliver high-quality, user-centric dashboards that align with business requirements and design standards Responsibilities Develop interactive dashboards and reports in Amazon QuickSight using pre-configured data sets and schema definitions, ensuring outputs are intuitive and actionable Create and manage calculated fields and derived metrics from base datasets to support key business questions and performance monitoring Extend QuickSight capabilities beyond basic usage leveraging advanced features such as parameters, actions, filters, and embedded visualizations based on documentation and community insights Collaborate with cross-functional teams including product managers, UX designers, data engineers, software engineers, and clinical operations to ensure dashboards align with user needs and operational goals Validate and QA dashboards, ensuring that visualizations meet design standards, stakeholder expectations, and data quality benchmarks Other duties as assigned Qualifications bachelors degree in a quantitative field such as Mathematics, Business, Economics, Engineering, or a related discipline 4 years of experience working as part of team in a business intelligence analyst or equivalent role Hands-on experience with leading BI tools such as Tableau, Power BI, or other visualization platforms, with demonstrated ability to build clear, insightful dashboards Ability to quickly learn new BI tools this role will require onboarding to Amazon QuickSight Prior experience in learning new platforms independently using documentation and community resources is a strong plus Strong analytical skills with the ability to interpret and work with complex data sets, drawing meaningful insights that support business and clinical goals Exceptional attention to detail to ensure data accuracy, consistency, and integrity across reports and dashboards Strong visualization quality control mindset, ensuring all visual elements match design mocks, specifications, and stakeholder expectations Familiarity with clinical trial data or healthcare-related datasets (at least at a high level), including concepts like patient visits, protocol events, and outcomes tracking