Principal Data Analyst

Hyland

1d•Remote

About The Position

As a Principal Data Analyst at Hyland, you'll be the primary technical authority for analytics solutions — setting the standard for how the organization designs, builds, and scales its analytical capabilities. You'll blend deep technical expertise with strategic thinking, translating complex business needs into high-quality, scalable solutions while mentoring a team of analysts and driving continuous innovation across the analytics function. This role is built for someone who thrives as a senior individual contributor and technical leader who makes the whole team better.

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 writing 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.
Demonstrated ability to design, review, and approve complex analytics solutions end-to-end, with significant experience providing technical guidance, mentorship, and review for analytics team members.

Nice To Haves

Active Power BI certification (e.g., PL-300 or equivalent).
Strong understanding of data modeling principles, analytics architecture, and solution scalability in enterprise environments.
Proven 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 with the ability to balance analytical rigor with practical application, and communicate complex technical concepts clearly to diverse internal audiences.

Responsibilities

Serve as the final technical decision-maker and approval authority for analytics solutions — including data models, dashboards, and advanced analytics logic — while establishing and enforcing technical standards across the team.
Collect, analyze, and oversee the development of advanced and predictive analytical models; personally develop high-complexity datasets and dashboards where deep technical expertise is required.
Review and approve technical work produced by analysts, ensuring adherence to standards and best practices; mentor and coach team members through hands-on collaboration and feedback to elevate overall team capability.
Oversee data integrity audits, monitor data management procedures, and facilitate the development of standards for internal technical documentation, metric definitions, and analytical assumptions.
Partner with Data Engineering, IT, and internal stakeholders to ensure upstream data design supports analytical needs; operate as a trusted advisor on analytics trends, technical feasibility, and implementation approaches.
Act as a technical thought leader by identifying, testing, and promoting improved tools, techniques, and best practices to drive overall quality, reliability, and scalability of the analytics function.