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FiltersShape how data drives decisions across the company. This high-visibility, hands-on role blends technical depth with analytical storytelling. You’ll develop scalable dbt models in BigQuery and Looker, define trustworthy metrics, and translate complex data into insights that influence company strategy.
Design, develop, and maintain ETL (Extract, Transform, Load) workflows using Esri’s Data Interoperability Extension and Workbench. Create, update, and manage related data tables within enterprise geodatabases to maintain accurate Customer Service Location relationships. Perform ongoing quality control and maintenance of large utility, parcel, and service location datasets to ensure data accuracy, consistency, and integrity.
Focuses on creating the annotation data for our AI model to learn new health and safety measures for our AI-powered HSE platform. You'll analyze and interpret data efficiently, providing insights that support and drive business needs. Manage team projects and present progress on a weekly and monthly, and quarterly basis.
Looking for an analytics-focused Data Engineer to join our expanding data department, focusing on the operationalization and enrichment of our core data products. This individual will play a key role within our Data Engineering team and requires familiarity with common data processing tools and languages, and adherence to data governance best practices.
This position supports PN Operations by gathering, cleaning, and analyzing data to produce accurate reports and dashboards to inform decisions. Working under guidance, this role maintains data quality, documents processes, responds to ad-hoc requests, and develops proficiency in data sets, spreadsheets, and BI tools.
Play a pivotal role in optimizing and refining the interaction between AI systems and their users, crafting and testing precise, clear, and effective prompts that guide AI models, such as ChatGPT, to deliver high-quality, relevant responses in line with business objectives to be at the forefront of a new field in AI and to work directly with large language models (LLMs).
FHI is hiring a hands-on Data Engineer who works independently and thrives in a fast-moving environment. You’ll own and support ETL/data pipelines, integrations, and reporting—diagnosing issues, improving data quality, and partnering with BI to deliver reliable, scalable solutions. Maintain and support ETL, data flows, and reporting processes and build and refine data pipelines, assembling large datasets.
This pivotal role is designed for an emerging professional with experience and possesses a robust interest in public markets, business dynamics, and sophisticated financial analysis. You will act as the primary quantitative auditor of our proprietary SaaS platform's business estimates and investigate discrepancies between internal forecasts and publicly reported data, impacting core product and client messaging.
Support the development of data pipelines, ensuring quality and organization in deliveries under the guidance of more experienced members. Collaborate in the maintenance and evolution of existing solutions, contributing to the continuous improvement of processes. Participate actively in agile rituals, sharing progress and doubts clearly. Demonstrate technical curiosity and a willingness to learn new tools and good data engineering practices. Support the documentation of developed solutions, ensuring traceability and alignment with team standards.
Seeking a detail-oriented Data Scientist with strong analytical skills. Supports legal and regulatory requests by analyzing integrity, ads, and platform data. Collaborates with Legal, Integrity, Product, Engineering, and other partners to gather data and interpret findings to support investigations. Executes analyses to answer complex questions related to litigation, compliance, and internal risk. Communicates findings clearly to both technical and non-technical stakeholders.