Analytics Engineer 3

The Analytics Engineer 3 models and analyzes data to produce actionable, educational, and informative reports that help key business stakeholders uncover meaningful insights. This role provides business leaders with data‑driven answers to their questions as needed.

The Analytics Engineer 3 must have an advanced understanding of the architecture, infrastructure, and tooling used within the data ecosystem, as well as best practices for ingesting data and building data pipelines. The role also involves developing data transformations that generate fresh, reliable, and high‑quality data assets. The role also requires leadership and project management skills, when overseeing larger or more complex projects.

Hyland uses Microsoft Fabric as its primary data analytics platform, along with complementary tools such as dbt and Fivetran, which extend and enhance the capabilities of the overall data infrastructure. 

• Collaborate with team members to collect business requirements, define successful analytics outcomes and design data models while considering non-functional requirements such as performance and cost constraints and security policies.
• Help to define and improve internal standards for style, maintainability and best practices for a high-scale data infrastructure.
• Configure ELT tools, integration platforms and orchestration systems to best practice, supporting the development of a modern cloud data warehouse that is accurate, reliable, high‑performing, and easily accessible to business teams.
• Supplement the data assets created with supporting documentation to allow these assets to be easily reused by other team members and teams as necessary.
• Coordinate with infrastructure and data governance teams to align with and contribute to the company data strategy.
• Prioritize quality and data accuracy across all operations and deliverables.
• Assist in defining and deploying data governance activities such as data lineage tracking and data cataloging solutions.
• Maintain a strong focus on continuous learning and share emerging data engineering and analytics methodologies with the team. Actively participate in and network with the broader data community outside the company.
• Coach and train other team members; may provide feedback to leadership on technical abilities of team.
• Understand business/department needs and goals and contribute towards the greater good of the team and the organization.

• Bachelor's degree or equivalent experience
• Extensive experience working as part of a data team; preferably as an experienced data engineer or database specialist
• Experience with Microsoft Fabric and Python is considered an asset, though not a requirement for the role.
• Hands on experience with modern BI tools (Tableau or Power BI)  
• Experience modeling with dbt, pyspark (Fabric) or another data modeling tool for data transformation
• Fundamental data architecture and design skills
• Strong oral and written communications skills that demonstrate a professional demeanor and the ability to interact with others with discretion and tact
• Strong organizational multi-tasking and time management skills
• Strong collaboration skills applied successfully within team as well as with all levels of employees in other areas
• Strong leadership sound judgement and business acumen skills
• Strong facilitation and project management skills
• Strong interpersonal skills; able to maintain solid rapport with team members as well as maintain professionalism with those outside of department
• A natural inclination for innovation and creative problem‑solving.
• Strong ability to use original thinking to translate goals into the implementation of new ideas and design solutions
• Self-motivated with the ability to manage projects to completion with minimal oversight
• Able to thrive in a fast-paced goal-oriented environment
• Strong attention to detail
• Demonstrated ability to influence motivate and mobilize team members and business partners
• Strong ability to develop and use engaging informative and compelling presentation methodologies
• Strong ability to handle sensitive information with discretion and tact
• An aptitude for innovation
• Ability to work independently and in a team environment
• Ability to coach mentor and provide feedback to team members in a timely manner
• Strong knowledge of SQL and strong data transformation skills