Construction Analytics Solutions Engineer

🕒 il y a 2 mois

🇺🇸 États-Unis – Télétravail

💵 $110 000 - $135 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

💻 Ingénieur Solutions

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Recevoir des emails pour des emplois à distance

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

Doxel

Site WebLinkedInTous les Emplois

51 - 200 employés

🤖 Intelligence artificielle

☁️ SaaS

Artificial Intelligence • Construction • SaaS

Doxel est une entreprise qui fournit un suivi automatique de l'avancement des constructions grâce à des analyses puissantes et des outils faciles à utiliser. Elle sert des parties prenantes telles que les propriétaires, les directeurs de projet, les surintendants et les ingénieurs BIM/VDC en offrant une solution de suivi complète pour les projets de construction complexes dans divers secteurs, dont les centres de données, la fabrication, et la santé. La plateforme de Doxel utilise l'IA et la reconnaissance d'images pour suivre l'avancement sur plus de 80 étapes de construction, offrant des informations précieuses qui aident à atténuer les risques, prévenir les retards, améliorer la fiabilité et optimiser les plannings. Le logiciel offre une visibilité en temps réel de l'avancement des projets, réduisant le temps passé sur le suivi manuel et permettant une meilleure gestion des budgets. Avec Doxel, les chefs de projet peuvent accélérer la livraison, améliorer la productivité de la main-d'œuvre et atteindre une plus grande précision dans le suivi et la rapportage de l'avancement.

Description

• Own the scoping and definition of reporting deliverables for customer engagements including discovery of stakeholder needs, alignment on KPIs, data source inventory, delivery cadence, and acceptance criteria to ensure every reporting solution is clearly defined before development begins • Combine Doxel data with customer data (schedule, cost, WBS, commissioning trackers) to create integrated, automated reporting solutions • Support and enhance existing internal data pipelines spanning GCS, Snowflake, Coalesce, and Sigma Computing, contributing to data transformation, modeling, and visualization workflows • Centralize and improve internal reporting metrics by consolidating data from disparate sources into unified, reliable views • Standardize data models and report templates to ensure consistency, repeatability, and scalability across customer deployments and internal reporting • Track and report on metrics related to report delivery, including timeliness, accuracy, adoption, and stakeholder satisfaction • Collaborate with engineering and product teams to identify reporting gaps, surface data quality issues, and enhance reporting solutions that serve both customers and internal stakeholders • Present polished, executive-ready reporting and/or dashboards to construction and owner leadership • Willing to travel up to 25% for 2-4 days at a time to customer sites

🎯 Exigences

• 5+ years’ experience in construction management, project controls, construction tech implementation, or consulting • You lead from the front with a fanatical focus on delivering customer value; highly organized, autonomous, and able to manage multiple projects simultaneously; strong client-facing skills and experience collaborating with senior construction executives • Experience leading discovery and requirements-gathering sessions with cross-functional stakeholders to translate ambiguous business needs into well-defined reporting specifications and project plans; strong history creating automated executive presentations from concept to production ready • Deep understanding of large commercial construction workflows, schedules (P6), earned value analysis, and BIM/VDC workflows; experience with leveraging data from BIM/VDC models to enrich project reporting, such as linking model elements to schedule, cost, or progress data for more granular analytics • Proficient in SQL, Python, or Javascript, and data wrangling; comfortable working with APIs and integrating disparate data sources • Experience with BI tools (Power BI, Tableau, Looker) and reporting automation; experience with modern cloud-based ETL and BI platforms (e.g., dbt, Fivetran, Matillion, Coalesce, Sigma Computing, or similar) is a strong plus • Willing to travel up to 25%