• Partner with key talent stakeholders to intake, catalog, prioritize and execute requests and enhancements to new and existing metrics, reports, discovery boards, dashboards and other tools/resources. • Develop a deep understanding of the Talent and Culture initiatives and priorities to connect the dots across deliverables and provide deep analytics and insights. • Proactively manage and deliver projects against key deliverables with a strong rhythm of communication and updates to stakeholders. • Dive deep into complex enterprise-wide business problems and provide insights into the employee experience. • Collaborate with team members and business partners to deliver high quality solutions and recommendations to a variety of problems across the employee experience domain. • Bring data to life through storytelling in a clear and meaningful way to audiences with mixed levels of technical expertise and strong ability to merge context and data for effective messaging and relevance of products. • Reconcile divergent demands from multiple stakeholders in a fast-paced work environment while prioritizing the support of our Talent function. • Provide definition, KPI, analysis and interpretation support to HR Leadership for Executive presentations and strategic initiatives. • Use complex datasets to create and implement new data definitions, KPIs and Metrics in the interest of identifying metrics that matter to the employee's journey. • Proactively assess the effectiveness of existing tool stack, monitor data accuracy, and consult partners to drive adoption. • Provide expertise in Workday Reporting & Prism, Looker, and the Google Cloud Platform to ensure People Analytics datasets are accurate, efficient, and meaningful.

• Partner with cross‑functional stakeholders to intake, catalog, prioritize, and deliver enhancements to metrics, reports, dashboards, discovery boards, and analytical tools. • Develop a strong understanding of enterprise people initiatives and business priorities to connect insights across multiple workstreams and domains. • Proactively manage analytical projects end‑to‑end, maintaining a consistent cadence of communication, alignment, and updates with stakeholders. • Analyze complex, enterprise‑wide business questions and deliver insights related to workforce health, operational effectiveness, and employee experience. • Collaborate with analytics teammates and business partners to deliver high‑quality, scalable solutions and recommendations. • Bring data to life through clear storytelling, tailoring insights for audiences with varying levels of technical expertise, including senior leaders. • Balance and reconcile competing stakeholder needs in a fast‑paced environment, prioritizing work based on enterprise impact and strategic value. • Provide KPI definitions, analytical interpretation, and insight development to support leadership and executive‑level presentations. • Leverage large, complex data sets to define and refine metrics that meaningfully track outcomes across the employee lifecycle. • Continuously assess the effectiveness of the analytics tool stack, monitor data quality, and partner with stakeholders to drive adoption and usability. • Serve as a subject-matter expert in Workday Reporting & Prism, Looker, and Google Cloud Platform, ensuring data is accurate, efficient, and decision ready.

Job DetailsJob Location: Valir PACE LLC - Oklahoma City, OK 73102Position Type: Full TimeEducation Level: 4 Year DegreeSalary Range: $55,000.00 - $82,000.00 Salary/yearTravel Percentage: NoneJob Shift: DayJob Category: Admin - ClericalValir PACE provides integrated medical and social services to our most vulnerable seniors, helping to unlock their full potential. We are looking for team members who are energized by working in diverse teams toward our shared purpose. Those eager to drive groundbreaking innovation, and who will interact with those we serve and those who serve them in a spirit of understanding and compassion. WHAT WE OFFER Competitive pay, retention and referral bonuses Outstanding Medical, dental, and vision insurance Paid day off for your birthday 401K Company match on day one Company paid life insurance Generous PTO Career development opportunities Employee Gym Employee Recognition #PACE About the Role Job Summary: The Data Analyst (AI & Operations Support) plays a pivotal role in advancing Valir Health’s data-driven culture across our Hospice, PACE, and Cherry Blossom programs. This position is responsible for delivering timely, accurate analytics and reporting that empower clinical and operational leaders to make confident, informed decisions. Beyond traditional data support, this role serves as a key contributor to the organization’s AI enablement strategy—implementing, monitoring, and supporting AI-assisted workflows that improve efficiency and outcomes across the enterprise. The Data Analyst brings technical fluency in data tools alongside strong interpersonal skills that bridge the gap between complex data and the frontline teams who rely on it. This person is intellectually curious, comfortable navigating ambiguity, and energized by the opportunity to help a mission-driven healthcare organization make the most of its data and emerging technologies. Education, Licenses, Certifications and Experience: Bachelor’s degree in Data Analytics, Statistics, Computer Science, Information Systems, Health Informatics, or a closely related field—OR equivalent practical experience demonstrating proficiency in data analysis and reporting. Minimum of 2 years of experience in a data analyst, reporting analyst, or equivalent role. Experience with Power BI, Tableau, or comparable dashboard/visualization tools preferred. Experience supporting or training end users on data or technology tools preferred. Familiarity with healthcare data, clinical terminology, or electronic medical record (EMR) systems a plus but not required. Demonstrated experience working with or implementing AI-enabled tools or automated workflows preferred. Valir Health values demonstrated skills and hands-on experience with data and tools. Equivalent practical experience will be given full consideration in lieu of formal credentials.

• Conduct analyses of passive acoustic datasets to support detection, classification, and localization of cetaceans • Characterize cetacean vocalizations and evaluate behavior, occurrence, abundance, seasonality, and habitat relationships • Develop and validate automated detection and classification approaches, including call-level annotation and manual validation • Analyze datasets collected from multiple platforms, including: Long-term stationary recorders, Towed hydrophone arrays, Drifting acoustic recorders, Autonomous systems (e.g., Seagliders) • Apply statistical and quantitative approaches to support stock assessments and ecological analyses • Support Seaglider and advanced acoustic analyses, including: Classification of cetacean sounds to species where possible, Validation of automated classifiers through manual review, Application of sound propagation models using Python and cloud-based tools • Process acoustic datasets for analysis, including: Conversion of raw data formats into usable files (e.g., WAV), Debugging problematic data files, Performing quality assurance and quality control checks • Archive and manage datasets, including: Storage on program and cloud servers, Preparation for submission to NCEI, Maintenance of dataset logs and issue tracking • Maintain and update acoustic metadata databases (e.g., TETHYS, Makara, NCEI), including uploading and quality-checking detection and classification data • Conduct quantitative soundscape analyses, including computation of ambient noise metrics and evaluation of trends across multiple temporal scales • Maintain logs of datasets analyzed, analytical methods, outputs, and issues encountered • Maintain analysis code and workflows in repositories such as NMFS GitHub Enterprise • Assist with preparation of technical reports, manuscripts, presentations, and data visualizations • Participate in meetings, workshops, and conferences to present progress and support collaboration