Principal Data Analyst

Job not on LinkedIn

🔥 7 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🔴 Lead

📉 Data Analyst

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Hyland

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤝 B2B

☁️ SaaS

🏢 Enterprise

B2B • SaaS • Enterprise

Hyland is a company that provides a collaborative community platform for its customers and partners, offering access to resources such as products, solutions, and updates. The platform enables users to share feedback, ask questions, and connect with each other, fostering operational knowledge and organizational value. Hyland Community aims to enhance user experience by facilitating interaction between experts and community members.

📋 Description

• Serve as the final technical decision-maker and approval authority for analytics solutions, including data models, dashboards, and advanced analytics logic • Establish and enforce technical standards across the analytics team • Collect, analyze, and oversee the development of advanced and predictive analytical models • Personally develop high-complexity datasets and dashboards • Review and approve technical work produced by analysts • Mentor and coach team members through hands-on collaboration and feedback • Oversee data integrity audits and monitor data management procedures • Facilitate standards for internal technical documentation, metric definitions, and analytical assumptions • Partner with Data Engineering, IT, and internal stakeholders to support analytical needs • Advise on analytics trends, technical feasibility, and implementation approaches • Identify, test, and promote improved tools, techniques, and best practices to improve quality, reliability, and scalability

🎯 Requirements

• Extensive experience in advanced data analytics or business intelligence roles, with demonstrated increasing technical scope and complexity • Expert-level experience with Power BI, including semantic model design and optimization, advanced DAX development, and designing scalable enterprise datasets • Advanced proficiency in SQL, including complex, performant queries across large datasets, data transformation and aggregation logic, and troubleshooting data quality and reconciliation issues • Strong working experience with Microsoft Fabric, including Lakehouse/Warehouse concepts, Dataflows (Gen2), data transformation patterns, and consumption of Fabric data assets within Power BI • Ability to design, review, and approve complex analytics solutions end-to-end • Significant experience providing technical guidance, mentorship, and review for analytics team members • Active Power BI certification (e.g., PL-300 or equivalent) preferred, not required • Strong understanding of data modeling principles, analytics architecture, and solution scalability in enterprise environments • Ability to navigate ambiguous problem spaces and make sound technical decisions with incomplete information • Experience establishing and enforcing technical standards, including modeling practices, metric definitions, performance optimization, and solution architecture frameworks • Strong business and technology acumen • Ability to communicate complex technical concepts clearly to diverse internal audiences

🏖️ Benefits

• Career development resources • Wellbeing programs • Innovation practices • Inclusive workplace culture • Employee initiatives and giving campaigns supported by the company