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Part Time Metadata Analyst Jobs (NOW HIRING)

Invested Inc

Intern

Boca Raton, FL · Remote

$14.25 - $19/hr

Remote Hours: Part-time Start date: ASAP About Invested Invested is helping gen z and millennials ... The end-to-end mechanics of running a podcast, from booking through to distribution and analytics.

TEGNA Inc.

Support Manager

New York, NY · On-site

Team Leadership & Mentorship • Mentor and guide data support analysts and junior engineers on ... Our 401(k) program offers full, part-time and temporary employees the opportunity to contribute ...

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How much do part time metadata analyst jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for part time metadata analyst in the United States is $31.53, according to ZipRecruiter salary data. Most workers in this role earn between $25.24 and $35.82 per hour, depending on experience, location, and employer.

What are some common challenges faced by part-time metadata analysts, and how can they be addressed?

Part-time metadata analysts often face challenges in maintaining consistency and accuracy across projects, especially when balancing limited hours with tight deadlines. Communication with full-time team members can also be a hurdle, making it essential to establish clear documentation and regular check-ins. To overcome these challenges, it's helpful to use collaborative tools, maintain detailed records of workflow decisions, and proactively seek feedback. This ensures smooth handoffs and cohesive metadata standards, even when working reduced hours.

What are the key skills and qualifications needed to thrive as a Part Time Metadata Analyst, and why are they important?

To thrive as a Part Time Metadata Analyst, you need a solid understanding of metadata standards, data organization, and information management, typically supported by a degree in library science, information science, or a related field. Familiarity with metadata schemas (like Dublin Core or MARC), cataloging tools, and database management systems is often required. Attention to detail, analytical thinking, and strong organizational skills help you excel in managing and maintaining accurate metadata. These skills ensure data is consistently organized, discoverable, and usable, which is critical for information retrieval and digital asset management.

What does a Part Time Metadata Analyst do?

A Part Time Metadata Analyst is responsible for organizing, categorizing, and managing data using standardized metadata. They ensure that information is accurately labeled and easily searchable within databases or digital systems. Working part time, they may also assist with data quality checks, metadata audits, and the implementation of metadata standards. Their role is crucial in helping organizations maintain efficient and accessible digital information systems.
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What are the most commonly searched types of Metadata Analyst jobs? The most popular types of Metadata Analyst jobs are:
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Part Time Metadata Analyst jobs near you
Infographic showing various Part Time Metadata Analyst job openings in the United States as of May 2026, with employment types broken down into 33% Locum Tenens, 34% Full Time, and 33% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $65,589 per year, or $31.5 per hour.
Asset & Wealth Management, Business Analytics, Associate - New York

Asset & Wealth Management, Business Analytics, Associate - New York

Goldman Sachs, Inc.

New York, NY • On-site

Full-time, Part-time

Posted 17 days ago

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

29th of 141 rated banks

Job description

Job Description
A career with Goldman Sachs Asset & Wealth Management is an opportunity to help clients across the globe realize their potential, while you discover your own. As part of one of the world's leading asset managers with over $2 trillion in assets under supervision, you can expect to participate in exciting investment opportunities while collaborating with talented colleagues from all asset classes and building meaningful relationships with our clients. Working in a culture that values integrity and transparency, you will be part of a diverse team that is passionate about our craft, our clients, and building sustainable success. Bringing together traditional and alternative investments, Goldman Sachs Asset & Wealth Management provides clients around the world with a dedicated partnership and focus on long-term performance. As the primary investment area within Goldman Sachs, we provide investment and advisory services for pension plans, sovereign wealth funds, insurance companies, endowments, foundations, financial advisors and individuals.
Job Duties:
  • Architect, build, and maintain scalable, resilient data infrastructure - including data pipelines, ETL/ELT frameworks, and deployment environments - ensuring high availability and performance across multiple platforms.
  • Source and integrate large, diverse datasets from multiple origins (APIs, flat files, streaming sources, relational and non-relational databases); transform, cleanse, and normalize data for downstream consumption.
  • Design dimensional and analytical data models (star/snowflake schemas, data vault) and load curated data into relational databases, data warehouses, and cloud data platforms.
  • Design, develop, and maintain automated, user-friendly reports and dashboards that support the firm's analytical and strategic business needs.
  • Generate, distribute, and analyze business-performance metrics for periodic management reporting, translating raw data into actionable insights.
  • Prepare and operationalize data assets that power machine-learning models and AI-driven solutions, ensuring data quality, lineage, and governance standards are met.
  • Track and report project progress in alignment with the solution delivery lifecycle, proactively managing risks and dependencies.
  • Lead stakeholder engagements to identify analytics opportunities, define requirements, and translate business problems into technical solutions.
  • Mentor and guide team members, fostering a culture of knowledge-sharing, code reviews, and best-practice adoption.
  • Collaborate with solution experts and advisors to showcase outputs, share reusable code, and elevate the team's collective capability.
  • Partner with senior leadership on presentations, performance analysis, and future strategy development.
  • Devise creative methodologies to improve business efficiency, data reliability, and infrastructure cost-effectiveness across regions and markets.

Required Qualifications:
  • Education: Bachelor's or master's degree in computer science, Data Engineering, Information Systems, or a related field.
  • Experience: 3+ years of hands-on experience in data engineering, data infrastructure, or a related discipline.
  • Cloud Platforms: Proven experience with at least one major cloud provider - AWS (Redshift, Glue, S3, Lambda), Azure (Synapse, Data Factory, ADLS), or GCP (BigQuery, Dataflow, Cloud Storage).
  • Programming & Query Languages: Strong proficiency in SQL and Python; familiarity with Scala or Java is a plus.
  • Data Modeling: Deep expertise in dimensional modeling (star/snowflake schemas), data vault methodology, and relational database design.
  • AI/ML Familiarity: Working knowledge of machine-learning workflows, feature engineering, and model-serving architectures; experience with frameworks like TensorFlow, PyTorch, MLflow, or SageMaker is preferred.
  • BI & Visualization: Proficiency with dashboarding tools such as Tableau, Power BI, Alteryx.
  • Data Governance: Understanding of data quality frameworks, metadata management, data lineage, and cataloging tools.
  • Version Control & CI/CD: Experience with Git, CI/CD pipelines, and infrastructure-as-code practices (Terraform, CloudFormation).

Salary Range
The expected base salary for this New York, New York, United States-based position is $85000-$160000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.
Benefits
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.

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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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