Analytics Engineer 2
Omaha, NE · On-site
Contribute to governance practices including naming conventions, tagging/metadata, and change management. Implement automated tests and freshness checks to ensure the reliability of published ...
Analytics Engineer 2
Omaha, NE · On-site
Contribute to governance practices including naming conventions, tagging/metadata, and change management. Implement automated tests and freshness checks to ensure the reliability of published ...
Contribute to governance practices including naming conventions, tagging/metadata, and change management. Implement automated tests and freshness checks to ensure the reliability of published ...
Contribute to governance practices including naming conventions, tagging/metadata, and change management. Implement automated tests and freshness checks to ensure the reliability of published ...
Analytics Engineer 2
Omaha, NE · On-site
... tagging/metadata, and change management. • Implement automated tests and freshness checks to ensure the reliability of published analytics datasets. • Participate in peer review and CI checks to ...
Analytics Engineer 2
Omaha, NE · On-site
... tagging/metadata, and change management. • Implement automated tests and freshness checks to ensure the reliability of published analytics datasets. • Participate in peer review and CI checks to ...
Metadata Tagging information
What are the key skills and qualifications needed to thrive as a Metadata Tagging Specialist, and why are they important?
To thrive as a Metadata Tagging Specialist, you need a solid understanding of information organization, taxonomy standards, and attention to detail, often supported by a degree in library science, information management, or a related field. Familiarity with metadata management tools, content management systems (CMS), and standards like Dublin Core or schema.org is typically required. Strong analytical thinking, organizational skills, and the ability to communicate clearly with content creators make someone stand out in this role. These skills ensure that digital assets are accurately categorized and easily retrievable, enhancing discoverability and workflow efficiency.
What is metadata tagging?
Metadata tagging is the process of assigning descriptive information, or 'tags,' to digital content to make it easier to organize, search, and retrieve. These tags can include keywords, categories, dates, authors, and other relevant data points. Accurate metadata tagging improves the discoverability of content in databases, websites, and digital libraries, supporting better information management. It's a crucial task for industries dealing with large volumes of digital assets, such as media, publishing, and e-commerce.
What are some common challenges faced by professionals in metadata tagging, and how can they be addressed?
One of the main challenges in metadata tagging is ensuring consistency and accuracy across large volumes of digital assets, especially when multiple team members are involved. Discrepancies can lead to difficulties in asset retrieval and negatively impact workflows. Adopting standardized metadata schemas, using controlled vocabularies, and regularly reviewing tagging practices can help mitigate these issues. Collaboration with content creators and IT teams is also essential to align tagging strategies with organizational goals and technical requirements.
HDR rating
9.1
Based on 56 frontline employees who took The Breakroom Quiz
20th of 357 rated engineering
Job description
At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world?
Watch Our Story:' https://www.hdrinc.com/our-story'
Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world.
In the role of Analytics Engineer 2, we'll count on you to:
Design and develop analytics models aligned to business processes and reporting needs.
Create curated marts and semantic structures that promote reuse and consistent interpretation.
Partner with analysts to translate business questions into durable data models.
Implement models using layered patterns (raw/conformed/curated) and modular SQL design.
Use managed dependencies and reusable components (e.g., shared functions/templates) for standardized patterns and reuse.
Apply incremental strategies where appropriate to improve refresh performance and manage costs.
Define, document, and maintain KPIs/metrics; ensure consistent definitions across reporting surfaces.
Maintain transformation-layer documentation (model/column descriptions) and publish lineage artifacts for impact analysis.
Contribute to governance practices including naming conventions, tagging/metadata, and change management.
Implement automated tests and freshness checks to ensure the reliability of published analytics datasets.
Participate in peer review and CI checks to improve quality and reduce regressions.
Enable stakeholders through documentation, demos, and shared patterns to support adoption.
Preferred Qualifications
In depth experience with dbt Cloud or dbt Core with Git integration.
Experience with BI tools (e.g., Power BI, Tableau) and semantic modeling patterns.
Familiarity with CI/CD for analytics models (PR-based testing, documentation builds, promotion).
Required Qualifications
Bachelor's degree in Computer Science, Information Systems, Data Engineering, or other applicable degree.
Experience in analytics, BI, or data roles with demonstrated modeling and SQL proficiency.
Ability to translate business requirements into stable, reusable data models.
Familiarity with BI/reporting consumption patterns.
What We Believe
HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve.
Our Commitment
As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day.
Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees.
About HDR
Sourced by ZipRecruiter
At HDR, we specialize in engineering, architecture, environmental and construction services. While we are most well-known for adding beauty and structure to communities through high-performance buildings and smart infrastructure, we provide much more than that. We create an unshakable foundation for progress because our multidisciplinary teams also include scientists, economists, builders, analysts and artists.
Industry
Specialized design services
Company size
5,001 - 10,000 Employees
Headquarters location
Omaha, NE, US
Year founded
1917