• Ensures intake, delivery and quality of data from customers • Investigates and resolves data inconsistencies or discrepancies and communicates findings to the appropriate staff • Design and perform database queries to meet internal and external analytical needs • Discuss requirements, issues and future enhancements and provide recommendations for improvement and written documentation that relate to the analysis of the customer data • Proactively monitors incoming data for trends • Provides support in the preparation and analysis of various reports • Excellent analytical skills, involving determination of root cause, issue size/impact and prioritization • Support all facets of the business in data analysis and critical ad hoc reporting • Add to a growing suite of enterprise class BI dashboards, for use both internally and externally • Data validation, developing new tests to ensure data is coming across cleanly and efficiently • Analyze and interpret complex data, coordinating with internal and external stakeholders

This role will play a key part in advancing research initiatives within the Emergency Medicine department, offering dedicated support to the research program led by Dr. Faheem Guirgis. By contributing to a range of innovative projects, the individual in this position will help drive meaningful progress in emergency medical research and enhance the overall impact of the program. Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human capabilities. Candidate has advanced expertise in AI, machine learning, deep learning, statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory and data science methods and the mathematical theories underlying these tools used to analyze data. Has advanced knowledge of healthcare data types, topics, and scientific challenges and approaches. May work with knowledge architects, informaticians and clinicians at Mayo, and partner outside companies to develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of care. Applies and modifies existing scripts or software applications to support data management, data extraction, data analysis, and AI as required May develop predictive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling, operations research, machine learning, or data mining techniques. May provide Consultative Services at an enterprise level to departments/divisions and/or support scientific projects under the supervision of a designated senior level data scientist. Other responsibilities: •Provides advanced data insights for complex business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data. •Has advanced expertise in the methods used to analyze data and advanced knowledge of data types, topics, and scientific challenges and approaches. •Will work with other staff in developing data analysis tools and predictive models, using advanced data analysis techniques and artificial intelligence and machine learning. •Participates in discovery processes with stakeholders to identify the business requirements and the expected outcome. •Leads the interpretation of data analysis and writing reports. Why Mayo Clinic Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. Benefits Highlights - Medical: Multiple plan options. - Dental: Delta Dental or reimbursement account for flexible coverage. - Vision: Affordable plan with national network. - Pre-Tax Savings: HSA and FSAs for eligible expenses. - Retirement: Competitive retirement package to secure your future. Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. Equal Opportunity All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

Company Description Hi! We're UW. We’re on a mission to take the headache out of utilities by providing them all in one place. One bill for energy, broadband, mobile and insurance and a whole lot of savings! We’re aiming to double in size as we help more people to stop wasting time and money. Big ambitions, to be delivered by people like you. Got your attention? Read on.. Job Description We are seeking a Data Architect to lead a greenfield initiative: building the backbone of our new Enterprise Data Warehouse and migrating our data estate to a dimensional modelling environment. In this pivotal role, you will own the enterprise data architecture and platform design. Working closely with Data Engineers, Data Analysts and Data Governance Manager, you will focus on system design, modelling strategy, and handling high-volume challenges — such as processing half-hourly meter reads — at scale. We Deliver Progress.. What you'll do and how you'll make an impact: - Enterprise Data Architecture: Design the end-to-end platform blueprint, ensuring scalability, reliability, and performance from ingestion to consumption. - Greenfield Data Modelling: Champion Kimball dimensional modelling methodologies to design a robust, scalable schema for our new enterprise data warehouse. - System Design: Architect complex systems for massive scale and high-frequency streams, defining batch and streaming patterns for implementation. - Tooling & Integration: Partner with Data Governance to select and integrate modern tooling (e.g., Dataform, cataloging) into the platform architecture. You will lead the selection and implementation of our first Data Catalog and Observability tools. - Work with our regulated domains to design patterns that allow us to efficiently meet the continuous data needs of our regulators and auditors. - Governance Support: Design systems that technically enforce the frameworks and policies owned by the Data Governance Manager. The First 6 Months: Success Looks Like... - 30 Days: A complete "As-Is" map of our most critical data flows (Commission, Billing) and a clear identification of the "Top 10" tech-debt bottlenecks. - 3 Months: The launch of a "Golden Path" Dataform template and the first "V2" Medallion-compliant data models for a core business domain. - 6 Months: A 2-year North Star roadmap and the implementation of basic Automated Data Quality monitoring on our top-tier Gold tables. Qualifications We put people first. It’s all about you.. - Technical Mastery: - The BigQuery Specialist: You don’t just know SQL; you understand BigQuery reservations, partitioning, clustering, and how to optimize costs in a multi-terabyte environment. - The Modeler: You are a master of Kimball/Dimensional modeling but know when to use OBT (One Big Table) for modern BI performance. - The Tech Stack Ninja: Deep experience with Dataform (or dbt), ELT design patterns, Looker (LookML), and all things GCP. - Impact & Scope: - The Communicator: You can explain to a Product Manager why a 2-week "foundation build" is better than a 2-hour "quick fix" that breaks next month. - Planning & Delivery: - The Pragmatist: You understand that "Perfect is the enemy of Shipped." You can navigate a high-change environment where changes to our Partner proposition are complex and often time-sensitive. - Business & Domain Knowledge: - You have experience of running similar initiatives in complex, highly-regulated environments - Leadership & Culture: - You role-model UW values by promoting a data-driven culture, mentoring peers, and communicating technical successes and failures clearly to the wider Technology & Product department. Skills / Competencies - Strategic Problem Solving: Ability to break down vague, high-level business requirements into concrete, scalable technical architectures. - Clear Communication: Excellent verbal and written skills, with the ability to influence technical and non-technical audiences. - Accountability: Willingness to take ownership of critical systems and participate in on-call rotations. - Continuous Learning: Proactively seeking out the latest industry trends and introducing relevant innovations to the team. Don’t worry if you don’t have the whole list. If you feel you have most of it and can learn the rest pretty quickly then please don’t hesitate to apply. Overall we are looking for imaginative and pragmatic problem-solvers who want to help make a positive impact with data at UW. Additional Information So why pick UW? We’ve got big ambitions so there’s going to be plenty of challenges. There are also a lot of benefits: - Competitive salary: We benchmark against the industry and will share the salary openly during our first conversation. - Performance bonus: An annual discretionary bonus ranging from 15-40%. - Flexible working: We’re a remote-first business. - Work-life balance: We offer an optional four-day working week (90% pay for 90% impact). - Work from anywhere: You can work abroad for up to three weeks, twice every tax year. - Holiday: 25 days plus bank holidays (increasing with tenure), with the option to trade up to five days each year. - UW discounts: Save on our services and get a free Cashback Card. - Future planning: Matched-contribution pension scheme and life assurance (up to 4x salary). - Family first: Policies designed to help you and your family thrive. - Flexible benefits: An allowance for private health insurance, dental insurance, or gym membership. - Sabbaticals: An eight-week paid sabbatical after four years of service. - Growth: A dedicated learning and development budget and bi-annual promotion cycles. - Inclusion: Join belonging groups that help shape our culture. - Events: Company-wide celebrations including the ‘Great Big Get Together’ and our ‘Good Hearted Go-Getter Awards’. Not sure you meet all the requirements? Let us decide! Research shows that women and members of other underrepresented groups tend not to apply for jobs if they think they may not meet every qualification, when in fact they often do. We provide equal opportunities, a diverse and inclusive work environment, and fairness for everyone. You are welcome to apply no matter your age, disability, gender, marriage or civil partnership status, pregnancy and maternity status, race, religion or belief, or sexual orientation. Please don’t be afraid to ask about what we can do to support your needs. All requests will be carefully and fairly considered. Please note, if you are successful and offered a role at UW, you will be subject to a background check. Where checks are unsatisfactory or incomplete and/or a failure to reveal information relating to convictions that you are required to identify as part of the background checks, could lead to withdrawal of an offer of employment. - Employment Status: Full-Time

• focus on delivering new hardware integrations for the Heartbeat AI platform • perform data analyses on existing integrations • draft requirements for software and hardware solutions • support project management within the team • prepare presentations for leadership and external events • ensure smooth coordination with local and international teams • own the definition, implementation, evaluation, and deployment of data • own key KPI tracking and translate updates into presentations • contribute to a culture of innovation and experimentation • act as a contact point for partner networks and OEM partners