• Validate data integrity across reporting outputs and source systems within your division • Identify discrepancies and investigate root causes in collaboration with the data engineering team • Ensure all data is reviewed and verified before distribution to stakeholders • Proactively surface data quality issues before they reach leadership or clinical teams • Build and maintain dashboards and reports using Looker, Power BI, Tableau, or similar tools • Translate operational and clinical data into clear, structured insights for non-technical stakeholders • Support recurring reporting needs for divisional leadership • Ensure dashboards are simple, usable, and actively adopted by teams • Apply standardized metric definitions as established and governed by BII leadership • Maintain documentation of reporting logic and calculation methods within your division • Escalate metric inconsistencies or definitional gaps to the BII Director for resolution • Work closely with divisional operations and clinical leadership to understand reporting needs • Act as the primary consumer of data engineering outputs — raise pipeline issues through the BII Director • Contribute to broader BII reporting initiatives as directed by BII leadership

Role Description Enabling Keysight growth and maximizing operational excellence, this Finance Business Intelligence Data Analyst position is focused on the development of finance operational reporting, analytics and insights as well as support of Finance BI processes and project management. The position is part of Finance and BI Initiatives and Solutions (FBIS) team and it requires a strong team player who is able to perform independently while staying tightly connected with the geographically distributed team. The position requires a combination of hands-on BI-related technical skills, financial data flow and process knowledge as well as project management experience. - Partner closely with the Finance teams, understand their data needs and address those with intelligent BI reporting data solutions developed in partnership with the IT organization in a timely and sustainable fashion. - Gather business requirements, perform fit/gap and impact analysis. - Take ownership of the projects; organize and manage all aspects of the project from start to finish. - Manage BI backlog, release schedules and milestones along all stages of development life cycle, coordinating across multiple teams. - Ensure the integrity of data by establishing and executing data quality verification procedures. - Support Keysight POR projects by ensuring existing Finance reporting continuity and by developing new BI solutions dictated by the POR. - Work proactively on increasing user adoption by creating and maintaining data dictionaries, catalogues, delivering user training. - Ensure consistency of data security for all existing and new tools, datasets and reports. - Perform Data Steward role for Finance BI organization by participating in Keysight Data Governance team and partnering with stakeholders from Finance, Business, Sales, OF, Marketing, Product Management teams to establish and maintain, clean data semantic layer and proper finance data usage across the company. Qualifications - A mix of creativity with strive for success and a ‘Can-Do’, ‘Will-Do’ attitude. - Ability to work independently with little oversight while maintaining tight connection with the rest of geographically distributed team, putting team’s success and “One Keysight” first. - Ability to listen, interpret and translate loosely defined word problems and requirements into technical specifications, design, development all the way through to the user adoption of finalized solutions. - Ability to communicate effectively in finance functional and business user language as well as technical IT language. - Strong analytical skills, ability to manipulate large volumes of data and synthesize it to meaningful, valuable, actionable insights. - Ability to think strategically in order to develop sustainable solutions, even under pressure of “need it yesterday” situations. - Take pride in data accuracy and quality of developed solutions. - Passion for learning new tools and cross-functional business flows to expand knowledge. - Strong prioritization skills. Requirements - 8+ years of finance functional experience, leaning to finance reporting. - Hands-on experience in BI tools and MS office: Incorta, Denodo or similar, Microstrategy and Tableau or similar, Proficiency in MS Excel. - Understanding of databases such as Snowflake is a plus. - Experience in reporting, data analytics and data visualizations (dashboarding and storytelling). - Knowledge of Oracle ERP (EBS and Cloud, GL, AR, AP, Intercompany, Manufacturing, Order Management, Subscriptions etc.) data flows is a plus. - Understanding of financial consolidations tools (such as Onestream) is a plus. - Knowledge of Zuora RevPro is a plus. - Experience in Data security, standards setting, governance, cataloguing and dictionaries best practices is a plus. - Previous work experience such as Data Analyst, Reporting Lead, Financial Analyst would be relevant to this position. Benefits

• Preparing and/or reviewing Form N-CSR, N-PORT Part F, and other SEC filings of ETFs • Producing and performing detailed reviews of GAAP financial statements • Assisting Trust Administration teams in coordinating ETF audits • Liaising with senior Fund Administration team members • Contributing to process improvements and technology enhancements

Role Description Kentro is hiring for a Business Intelligence Integration Analyst to support our Digital Twin Platform. Location: REMOTE - This position can be performed remotely within the United States and will support Eastern Time working hours. Responsibilities - Requirements Development & Enterprise Discovery: - Partner with customers to assess their digital twin readiness and define capability requirements aligned with strategic business objectives. - Conduct discovery sessions to extract nuanced insights about organizational processes, data ecosystems, and decision-making frameworks. - Identify customer enterprise architecture, including existing systems, data infrastructure, and system dependencies critical to digital twin development. - Translate business challenges into structured technical requirements and use cases for digital twin modeling. - Facilitate workshops with cross-functional teams to identify high-value opportunities for digital twin applications. - Customer Engagement: - Serve as a trusted advisor and point of contact throughout the customer’s digital twin journey. - Build and maintain strong relationships with key stakeholders at all organizational levels, from C-suite executives to technical teams and end users. - Adapt communication style and technical depth based on audience, ensuring clarity and buy-in across all organizational levels. - Provide ongoing support to customers as they evolve their digital twin adoption and expand their use cases. - Conduct regular cadence meetings and business reviews to assess progress, gather feedback, and align strategic priorities. - Digital Twin Integration: - Develop deep expertise in a specialized digital twin platform and its capabilities to support solution design and implementation. - Oversee end-to-end design, development, and integration of digital twin models by translating customer requirements, ensuring solutions are scalable, accurate, and aligned with organizational objectives. - Create and deliver training programs tailored to different stakeholder personas, ensuring adoption and effective utilization of digital twin capabilities. - Collaborate with data engineers and developers to ensure models are fully and effectively integrated into the customer space. - Provide ongoing support and troubleshooting guidance as customers operationalize their digital twin capabilities. - Ensure platform delivers maximum value through regular optimization reviews and feature adoption guidance. Qualifications - Bachelor's degree in Business, Psychology, Political Science, or International Relations OR equivalent military training/experience (e.g. MOS 35M/35F, 1N0, 0211). - Minimum 8+ years of experience in Intelligence Operations, specifically focused on HUMINT collection, counterintelligence, or all-source analysis. - Mastery of advanced elicitation techniques (rapport building, funneling, source vetting) applied to stakeholder interviews. - Demonstrated application of Structured Analytic Techniques (SATs) to mitigate cognitive biases in data modeling and decision-making frameworks. - Proven experience in Human Network Analysis (HNA) or Social Network Analysis (SNA). - Proficiency with link analysis and data visualization tools common in the IC (e.g., Analyst Notebook (i2), Palantir Gotham/Foundry, ArcGIS, Maltego). - Exceptional briefing skills with experience presenting intelligence products to Senior Military Leaders or Federal Executives. Requirements - US Citizen or Green card holder. - Willing and able to obtain and maintain Public Trust Clearance or higher. Benefits - Competitive benefits package including paid time off, healthcare benefits, supplemental benefits, 401k including an employer match, discount perks, rewards, and more. - Education reimbursement for certifications, degrees, or professional development. - Flexibility for professional growth and networking opportunities. - Commitment to incorporating fun into every day with activities and events.