Facilities Specialist, Data & Analytics - Corporate Real Estate and Facilities Remote time type Full time The Facilities Specialist, Data & Analytics transforms complex facilities data into actionable insights that enhance operational efficiency, reliability, and strategic decision-making across Ferguson’s real estate portfolio! This role designs and maintains enterprise dashboards, data models, and integrations to drive consistency, accuracy, and visibility in facility performance reporting and long-range planning. Location: Remote anywhere in the US or hybrid if you are located in the Newport News, VA HQ area. Job description - Serve as a subject matter expert in a specialized area of Facilities Management, providing strategic insight, advanced analysis and technical expertise to enhance operational efficiency. - Design, build, and maintain advanced dashboards using Power BI or Tableau, transforming complex facilities data into actionable insights for internal partners and executive leadership. - Lead data mapping and integration efforts across disparate facilities management systems, ensuring consistent, accurate, and scalable data pipelines for enterprise reporting. - Develop and manage BI data models, including SQL-based transformations, ETL design, API integrations, data governance, security protocols, and performance optimization for real-time analytics and long-range planning. - Create and administer facility survey tools and reporting frameworks, enabling standardized field data collection and continuous improvement tracking. - Support corporate initiatives through data-driven decision-making, process optimization and vendor performance management. - Monitor and advise on budgets, capital planning, financial reports, vendor contracts, expenditures, and purchase orders related to facility operations, ensuring cost control and alignment with company objectives. - Prepare and deliver consolidated reports, including key performance indicators and periodic reviews of all facility activities, to support strategic decision-making and ensure alignment with company goals. - Act as a trusted advisor to internal partners, including executives and cross-functional teams, by providing strategic recommendations and insight into Facilities Management standard processes. - Support vendor management, including reviewing contracts, ensuring service level agreements (SLAs) are met, and verifying the accuracy of completed work and proposals. - Ensure consistent and high-quality delivery of facility services, including maintenance, operational support, safety, and compliance. - Maintain strict adherence to company compliance standards, as well as Health, Safety, and Environment (HSE) policies and procedures. - Leverage data and analytics to enhance service delivery, equipment reliability, and operational performance. - Identify and implement best practices for cost reduction, operational improvement, and long-term facility planning. - Perform additional duties and responsibilities as assigned by leadership. Preferred Education and experience - 3+ years’ relevant experience preferably within Real Estate and Facilities at a corporate level. - Bachelor’s degree in facilities management, business management, technical facilities, or a similar field preferred. - Experience managing/supporting multi-location industrial or retail portfolios with a focus on operational improvement. - Exceptional ability in Communication, Organizing, Group Problem Solving, Teamwork, Relationship Building, Time Management and Communication both written and verbally. - Ability to engage effectively with partners at all levels, internal and external, including the Executive Leadership Team, and act as a strategic advisor. - Perform with a strong sense of urgency, with high expectations, around driving costs from the company P&L and best preparing Ferguson for future growth. - Ability to travel up to 10% of the time. - Ability to manage multiple priorities and deadlines in a fast-paced environment. At Ferguson, we care for each other. We value our well-being just as much as our hard work. We are committed to a holistic approach towards benefits plans and programs that support the mental, physical and financial well-being of our associates. Our competitive offering not only includes benefits like health, dental, vision, paid time off, life insurance and a 401(k) with a company match, but our associates also enjoy additional meaningful and inclusive enhancements that are adaptable to their diverse situations and needs, including mental health coverage, gender affirming and family building benefits, paid parental leave, associate discounts, community involvement opportunities and more! - Pay Range: $4,500.00 - $11,275.00 monthly

Role Description Our company operates in the energy domain, processing large volumes of utility bill data (primarily PDFs) to identify and recover overcharged payments. This role is critical in transforming raw, unstructured data into reliable, scalable, and actionable datasets that power analytics, operations, and future AI initiatives. You will work closely with leadership and cross-functional teams to design data models, build pipelines, and enable data-driven decision-making across the organization. What You’ll Do - Design, build, and maintain scalable data pipelines (ETL/ELT) to process structured and unstructured data (including PDF-based data extraction workflows) - Model and transform data into clean, reliable datasets optimized for analytics and business intelligence - Ensure data quality, consistency, and availability across systems - Partner with business and executive teams to understand data needs and enable data-driven decision-making - Develop and maintain dashboards and reports using tools like Power BI - Automate data workflows and reporting processes to improve efficiency and scalability - Collaborate with backend and engineering teams to integrate data systems and APIs - Contribute to the definition of data architecture and best practices - Support exploratory analysis and provide high-quality datasets for analytics and future machine learning use cases - Communicate technical concepts and data insights clearly to both technical and non-technical stakeholders Requirements - Strong experience with SQL and data modeling (e.g., PostgreSQL) - Proficiency in Python for data processing, scripting, and pipeline development - Hands-on experience building and maintaining ETL/ELT pipelines - Experience in modelling analytical data (Power BI) - Experience working with AWS Nice to Have - Experience with PHP - Experience with OCR / PDF data extraction workflows - Exposure to machine learning / AI data preparation Benefits - Oportunidades 100% remotas 👨🏻‍💻 - Vale home office 💻 - Feedbacks periódicos 💬 - Programa de indicações 🏅 - Acolhimento psicológico 🙋🏻‍♂️ - Ginástica laboral 🏋️ - Academia de conhecimento 🧠 - Convênio com escola de inglês 🔤 - Reuniões mensais de transparência 🔃 - Happy hour online 🍻 - Kit de boas-vindas 🎁

• Be at the heart of dv01. You’ll operate as the bridge between the engineering and analyst teams, contributing to a variety of integral processes that drive dv01 on a daily basis. Every new dataset that gets integrated within dv01 will have your fingerprints all over it. • Be an owner of dv01's most valuable asset. You'll own managing and scaling the business logic in our data pipeline, encapsulating all the knowledge we've accumulated across hundreds of datasets. The output from the pipeline powers all of dv01's customer offerings and is critical to the success of our business. • Work directly with internal and external stakeholders. You’ll work with our team of analyst experts as well as directly connecting with customers to understand the complexities of the data dv01 manages. • Work with state-of-the-art technology. You'll work with popular, modern, and exciting open source technologies like dbt, Airflow and Apache Spark. Everything we do is cloud-native on Google Cloud Platform, utilizing tools including BigQuery, Cloud Run and Dataproc. The skills you develop here will serve you well beyond dv01.

Job Description The Institute for Health Metrics and Evaluation (IHME) is an independent research organization at the University of Washington (UW). Its mission is to deliver to the world timely, relevant, and scientifically valid evidence to improve health policy and practice. IHME carries out its mission through a range of projects within different research areas including the Global Burden of Diseases (GBD), Injuries, and Risk Factors; Future Health Scenarios; Cost Effectiveness and Efficiency; Resource Tracking; and Impact Evaluations. IHME has an excellent opportunity for a Researcher on the Integrated Analytics team. IHME Researchers analyze and produce key estimates for their assigned research team and will assess all available quantitative data – including those on causes of death, epidemiology, and a range of determinants such as education and income – from surveys, vital registration, censuses, literature, registries, and administrative records. Using established modeling tools and through creation of novel code, Researchers incorporate all relevant data to produce the most up-to-date and scientifically credible results. You will be integrally involved in producing, critiquing, improving, and disseminating results. You already have a command of epidemiology, statistics, disease modeling, or related interests, and we will help you develop an understanding of our core research and methodology. Our Researchers work with data and research professionals at all levels, and with external collaborators to take part in the intellectual exchange about how to improve upon and disseminate the results. You are expected to interact successfully with a wide range of partners and to describe complex concepts and materials concisely. Overall, Researchers are critical members of agile, dynamic research teams. This position is contingent on project funding. Responsibilities: - Develop a core understanding of assigned research area methodology and its components. - Under the guidance of experienced scientist and/or faculty, carry out quantitative analyses and statistical modeling to produce results designated on a given timeline as part of collaborative research projects. - Extract data from various sources and databases. Format, transform, review, and assess data sources to determine their relevance and utility for ongoing analysis. Understand key data sources and variations in these across and within countries. - Review, assess, and improve results and methods. - Apply computational and statistical tools and algorithms for the preprocessing, analysis, and visualization of source data. - Document code and analytic approaches systematically so that analyses can be replicated by other team members. - Lead discussion in research meetings about results and analyses to vet, improve, and finalize results. - Contribute to the creation of presentations, manuscripts, and funding proposals. Coauthor scientific publications in peer-reviewed journals. - Maintain scientific awareness and intellectual agility with data, methods, and analytic techniques. - Other duties as assigned that fall within reasonable scope of research team. Minimum Qualifications: - Master’s Degree in Public Health, Epidemiology, Statistics, Biostatistics, math, economics, quantitative social sciences or related and one year of related work experience. - Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration. Additional Qualifications: - Proven interest and some experience in GBD or forecasting modeling areas, and the related data sources and scientific underpinnings. - Strong analytic, critical thinking, and quantitative skills. - Ability to professionally and effectively communicate and work with other staff at all levels in order to achieve team goals for the analyses and related outputs. - Results- and detail-oriented individual who can initiate and complete tasks under tight deadlines and changing priorities both independently and in a team environment. Flexibility with hours and workload is key. - Working ability with at least one statistical programming language (e.g., R, Python). - Excellent communication skills, both oral and written. - Ability to work both independently and in collaboration with a team. - A long-term interest in a research scientist position contributing to the overall mission of our research. Desired Qualifications: - Track record of success in co-authorship on scientific papers, presenting results, and representing research at meetings. - Knowledge of machine learning, data mining, and analytic techniques. Conditions of Employment: - Weekend and evening work sometimes required. - This position is open to anyone authorized to work in the US. - Working internationally is only allowed for IHME sponsored work that requires in -country participation. - Office is located in Seattle, Washington. This position is eligible to work fully remote in the US; work schedule required to overlap 100% of IHME office hours, between 8 a.m. and 6 p.m. Pacific Time as agreed upon between employee and supervisor. - This position currently has funding through the end of December 2026. Compensation, Benefits and Position Details Pay Range Minimum: $92,676.00 annualPay Range Maximum: $111,816.00 annualOther Compensation: -Benefits: For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-temporary-per-diem-and-less-than-half-time/Shift: First Shift (United States of America)Temporary or Regular? This is a temporary positionFTE (Full-Time Equivalent): 100.00%Union/Bargaining Unit: SEIU Local 925 - IHME About the UW Working at the University of Washington provides a unique opportunity to change lives – on our campuses, in our state and around the world. UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty. Our Commitment The University of Washington is committed to fostering an inclusive, respectful and welcoming community for all. As an equal opportunity employer, the University considers applicants for employment without regard to race, color, creed, religion, national origin, citizenship, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81. To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or dso@uw.edu. Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law.