4 дня назад
Associate Data/Metadata Analyst
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Associate Data/Metadata Analyst (Library Data/AI): Managing the lifecycle of bibliographic and holdings data through ingest, normalization, enrichment, matching, and quality assessment with an accent on metadata standards, data integrity, and automation. Focus on applying scripts and AI-assisted workflows, interpreting data-quality dashboards, resolving structural and encoding issues, and documenting repeatable data-processing decisions.
Location: Dublin, Ohio, United States; hybrid work with three days per week on-site
Company
builds technology that connects libraries and makes knowledge accessible worldwide through complex datasets, AI and machine learning, and hybrid cloud solutions.
What you will do
- Manage the lifecycle of bibliographic and holdings data, including ingest, normalization, enrichment, and matching according to standards such as MARC and KBART.
- Profile incoming data and resolve structural issues, encoding errors, tagging discrepancies, and other quality problems.
- Apply existing scripts and automated workflows, identify inefficiencies, and suggest process improvements.
- Use dashboards such as Power BI to monitor data-quality trends and communicate findings.
- Use AI-assisted tools for record matching and field mapping, providing structured feedback to improve model accuracy.
- Document data sources, processing decisions, and technical workflows while supporting senior analysts and platform improvement projects.
Requirements
- Bachelor's degree in computer science, mathematics, statistics, or a related field.
- Internship experience in data analysis or the creation of library data.
- Entry-level analytical and communication skills with strong attention to data quality.
- Ability to work under regular supervision in a normal office environment.
- Availability for hybrid work with three days per week on-site in Dublin, Ohio.
Nice to have
- Foundational knowledge of MARC, Dublin Core, KBART, or BIBFRAME.
- Exposure to Python, SQL, or XSLT and data transfer protocols such as SFTP, APIs, or AWS S3.
- Conceptual familiarity with Snowflake, Power BI, or Streamlit.
- Interest in AI, linked data, and Schema.org applications for library data.
Culture & Benefits
- Mission-driven work focused on connecting libraries and expanding access to information.
- Health coverage, retirement plans with company contributions, and wellness support.
- Paid parental leave, adoption assistance, tuition reimbursement, and Public Service Loan Forgiveness eligibility.
- On-site fitness facilities, sports and group exercise classes, a game room, catering, and a subsidized cafeteria.
- Individual and team workspaces equipped with current technology tools.
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