Analytics Engineer 3
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Job Description
Analytics Engineer modeling data to drive business insights for Hyland. Collaborating on data infrastructure and building reliable data assets.
Responsibilities:
- Collaborate with team members to collect business requirements, define successful analytics outcomes, and design data models while considering non-functional requirements such as performance constraints, cost constraints, and security policies
- Help to define and improve internal standards for style, maintainability, and best practices for a high-scale data infrastructure
- Create definitions of done metrics for data engineers and platform developers and minimum acceptance criteria for the sources in consideration
- Model, design, develop, test, and implement appropriate backend and front-end structures needed to meet business visualization and reporting requirements
- Configure SaaS tools such as ELT providers, integration platforms, and orchestration tools to meet system requirements to build a modern cloud data warehouse that is accurate, reliable, high-performing, and easily accessible to our business departments
- Provide day-to-day support of the data warehouse and associated data marts including establishing trusted data sets for common data with supporting documentation
- Coordinate with the platform data engineering team, data analyst teams, data governance teams, and IT teams to align with change management processes and ensure performance processes and access is optimal for global reporting solutions
- Improve processes regarding data flow and quality to improve data accuracy, viability, and value including testing small chunks of data transformations for correspondence to the set tasks
- Assist in defining and deploying data governance activities such as data lineage tracking and data cataloging solutions
- Educate the business organization towards self-serve, research new data engineering and analytics methodologies, and regularly participate and network in the data community outside the company
- Mentor, coach, train, and provide feedback to other team members; may provide feedback to leadership on technical abilities of team
Requirements:
- Bachelor's degree or equivalent experience
- Experience in one or more major data subject areas (Product Marketing, Sales, Finance, People, etc.)
- Extensive experience working as part of a data team; preferably as either an experienced data engineer or data analyst
- Experience with Cloud Platforms (AWS, Azure, GCP, etc.)
- Worked with cloud data warehouses for storing data (Snowflake, BigQuery, Redshift)
- Hands-on experience with modern BI tools (Looker, Mode, Tableau, Power BI)
- Modeling with Dataform, dbt, 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 data gathering, interviewing, and analytical/problem solving skills
- Strong critical thinking and problem solving skills
- Demonstrated proficiency with data system design including databases, schema, marts, aggregates, and views
- Strong knowledge of SQL and strong data transformation skills
- Enjoys working with emerging technologies
Benefits:
- Employed under the terms and conditions stipulated in the contract
- Remote work opportunities
- Mentoring and professional development opportunities
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