• Develop and prototype cloud‑native analytics solutions using Power BI (Desktop, Service), DAX, Power Query (M), dataflows, deployment pipelines, and Snowflake components including schemas, virtual warehouses, roles, tasks/streams, and performance services. • Lead full‑cycle development (SDLC + agile) of secure, scalable, and cost‑efficient analytics, including design, build, test, documentation, and support. • Implement governance controls including row‑level and object‑level security, data endorsements, versioning, and reliable refresh pipelines. • Perform source‑to‑target mapping and design star/snowflake models optimized for analytics and semantic modeling. • Build semantic layers and governed calculation frameworks (DAX measures, calculation groups). • Optimize model and query performance using aggregations, incremental refresh, model size tuning, and Snowflake performance strategies (clustering, caching). • Write medium to complex SQL queries for data validation, quality checks, and in-depth analysis. • Operationalize production pipelines, schedules, workflows, alerting/monitoring, and SLAs. • Provide Level 3 support (ServiceNow), including triage, root‑cause analysis, and stable release management. • Partner with business and technical stakeholders to define requirements, lead design workshops, and produce actionable prototypes and wireframes. • Design high‑value dashboards, reports, and analytics that provide product insights and operational decision support. • Own end‑to‑end design for visualization, reporting, and dashboard solutions that power product insights and operational decision‑making. • Communicate proactively with teams and stakeholders; escalate risks early to ensure on‑time delivery. • Champion quality, standards, and continuous improvement through architecture/code reviews, operational documentation, and usage/cost awareness across workloads. • Research emerging cloud analytics capabilities and ensure compliance with required training and SOPs (e.g., GCP, 21 CFR Part 11, CAPA). • Explore new opportunities to add value through automation, standardization, and measurement. • Support teammates to achieve shared outcomes; perform other duties as assigned. • Maintain version-controlled BI assets using GitLab (commit, push, merge requests, resolving conflicts) • Use Jira for sprint planning, task updates, story tracking, and collaboration within Agile teams. • Collaborate with data engineering teams to ensure accurate and consistent data flows. • Support root-cause analysis for data discrepancies reported by business users. • Participate in patch releases, including validation, deployment coordination, and documentation • Maintain strong, current knowledge of cloud analytics, Power BI, Snowflake, data engineering patterns (ELT/ETL), data governance, and security.

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.