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Data Syndication Analyst Jobs (NOW HIRING)

... Data Analyst handles scripted cleanup and pricing updates, our Ecommerce Director manages the ... Evaluate and recommend product data syndication tools or PIM platforms to automate ongoing data ...

Data Analyst Location: Washington, DC (Hybrid - 3 Days Remote, 2 Days Onsite) Duration: 06 months ... Compiles, synthesizes, and analyzes secondary research collected from syndicated sources to share ...

... Data Analyst handles scripted cleanup and pricing updates, our Ecommerce Director manages the ... Evaluate and recommend product data syndication tools or PIM platforms to automate ongoing data ...

... Data Analyst handles scripted cleanup and pricing updates, our Ecommerce Director manages the ... Evaluate and recommend product data syndication tools or PIM platforms to automate ongoing data ...

Analyst, Loan Syndications

New York, NY ยท On-site

$41K - $55K/yr

Analyst, Loan Syndications At Capital One, we are a Top 10 U.S. Bank, with the strength and ... Creating and maintaining macro and industry data series (such as databases of comparable loans) and ...

... syndication and use * Champion data accuracy culture adoption to the broader organization by ... Data Analyst etc. * Skilled in the management of complex systems and decision-making under ...

The Data & Analytics Manager will serve as the subject matter expert for the company's syndicated ... The ideal candidate brings deep expertise in syndicated data sources - particularly Circana - along ...

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Data Syndication Analyst information

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$34K

$82.6K

$136K

How much do data syndication analyst jobs pay per year?

As of Jun 4, 2026, the average yearly pay for data syndication analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Syndication Analyst, and why are they important?

To thrive as a Data Syndication Analyst, you need strong analytical skills, attention to detail, and a background in data management or a related field, often supported by a bachelor's degree in information systems, business, or statistics. Familiarity with data syndication platforms, Excel, SQL, and data visualization tools like Tableau or Power BI is typically required. Effective communication, problem-solving, and organizational skills help you interpret data and coordinate with internal and external stakeholders. These competencies are crucial for ensuring accurate, timely data delivery and supporting strategic business decisions.

How does a Data Syndication Analyst typically collaborate with cross-functional teams to ensure data accuracy and consistency across platforms?

A Data Syndication Analyst regularly works with product managers, IT specialists, and external partners to ensure that data is accurately distributed and updated across multiple platforms. This often involves coordinating data mapping, resolving discrepancies, and implementing quality control checks. Effective communication and attention to detail are essential, as the analyst must ensure that data feeds meet both internal standards and client requirements. This collaborative approach not only minimizes errors but also supports seamless integration and a positive end-user experience.

What is a Data Syndication Analyst?

A Data Syndication Analyst is a professional responsible for managing, distributing, and optimizing data feeds between an organization and its partners, clients, or third-party platforms. They ensure that data is accurately formatted, transmitted, and maintained according to industry standards and client requirements. This role often involves analyzing data quality, troubleshooting issues, and collaborating with various teams to improve data delivery processes. Data Syndication Analysts play a key role in maximizing the value and reach of a company's data assets.

What is the difference between Data Syndication Analyst vs Data Analyst?

AspectData Syndication AnalystData Analyst
CredentialsBachelor's in Data Science, IT, or related fields; familiarity with data management toolsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis software
Work EnvironmentData management teams, media companies, or content providersBusiness, finance, marketing, or healthcare sectors
Employer & Industry UsageMedia, publishing, content distributionVarious industries including finance, marketing, healthcare
Comparison Search IntentYesYes

The Data Syndication Analyst primarily focuses on managing and distributing data across platforms, ensuring content reaches the right channels. In contrast, a Data Analyst interprets data to provide insights for decision-making. While both roles require data management skills, the Data Syndication Analyst emphasizes content distribution and data integration, whereas the Data Analyst concentrates on data analysis and reporting.

Infographic showing various Data Syndication Analyst job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Product Data Manager

Product Data Manager

Baths of America

Houston, TX โ€ข On-site

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Product Data Manager

We have a large, complex product catalog and a small, capable e-commerce and IT team. Today, our Data Analyst handles scripted cleanup and pricing updates, our Ecommerce Director manages the website, and our NetSuite Admin builds workflows and manages the ERP. What we are missing is someone who owns the product data itself: the person who defines what clean, complete, and consistent data looks like for our catalog, and who is accountable for getting it there and keeping it there.

This role is the single point of ownership for our entire product data ecosystem. You will be the bridge between our ERP, our website, our manufacturers, and our internal teams, ensuring that the 2.5 million items in our catalog are accurate, well-structured, and optimized for both customer experience and search visibility.

Data Standards & Architecture

  • Define and enforce the canonical product data model: required fields, naming conventions, variant attribute standards, and category taxonomy across all 300 brands
  • Create and maintain the master variant attribute mapping (e.g., consolidating hundreds of inconsistent finish names into a standardized set of canonical values)
  • Establish minimum data quality thresholds for product pages to remain published on the website
  • Own the translation of business and operational needs into structured data specifications.
  • Document requirements, define acceptance criteria, and maintain clear data contracts before any system change or import enters development.
  • Design and maintain the product data schema, including table structure, naming conventions, and indexing strategy.
  • Write and optimize complex SQL queries.

Catalog Cleanup & Normalization (Initial Project)

  • Lead the end-to-end data cleanup project across 300,000 parent items and 2.2 million variants, starting with our 50 actively sold brands and expanding to traffic-only brands
  • Audit the existing catalog to quantify data quality issues by type, brand, and severity
  • Build and execute normalization processes using a combination of scripting and manual review
  • Identify and resolve duplicate items, orphan variants, and incorrect parent-child relationships
  • Cross-reference NetSuite product records against the live website to identify and fix discrepancies

Manufacturer Data Relationships

  • Obtain and integrate product data feeds (EDI, API, flat files) from key brand partners such as Brizo, Hansgrohe, and other Tier 1 brands
  • Serve as the primary point of contact for manufacturer data inquiries and spec sheet sourcing
  • Evaluate and recommend product data syndication tools or PIM platforms to automate ongoing data ingestion

Ongoing Data Governance

  • Own the new product intake process: every item that enters the catalog meets your standards before it goes live
  • Build and maintain a data quality dashboard tracking completeness, consistency, and freshness metrics
  • Run quarterly catalog audits and report on data health to leadership
  • Create and maintain documentation and playbooks so the Data Analyst can execute day-to-day maintenance within your framework
  • Establish a repeatable testing protocol after every data import, including field-level validation checks, image integrity verification, pricing accuracy audits, and variant completeness reviews.
  • Document pass/fail criteria, maintain a QA checklist, and escalate anomalies before data goes live.

Cross-Functional Collaboration

  • Work with the Ecommerce Director to ensure product data supports SEO strategy, site search, and filtering
  • Work with the NetSuite Admin to ensure data structures, workflows, and integrations support clean data flow between the ERP and the website
  • Direct the Data Analyst's day-to-day catalog work, providing standards, priorities, and quality review
  • Coordinate with the sales team to understand which product attributes drive customer purchasing decisions and trade partner requirements
  • Support the ERP evaluation process by defining product data migration requirements and testing data mapping in any new system

Degree in Management Information Systems (MIS) preferred.

How to apply

Send your resume and a brief note describing the largest product catalog you have managed and what you did to improve its data quality.

Requirements

  • 3-7 years of experience in product data management, catalog management, or PIM administration in an e-commerce or distribution environment
  • Hands-on experience cleaning and normalizing large product catalogs (100,000+ SKUs)
  • Proficiency in SQL for data querying and analysis
  • Advanced Excel skills including pivot tables, VLOOKUP/INDEX-MATCH, and data transformation
  • Experience with scripting for bulk data operations (Python, JavaScript, or similar)
  • Demonstrated ability to define data standards and enforce them across an organization
  • Experience working with ERP systems in a product data context (NetSuite experience is a strong plus)

Company Information

Baths of America is a Houston-based bath and kitchen business operating a showroom and distribution center. We carry appliances, plumbing fixtures, door hardware, cabinet hardware, and cabinets from approximately 300 brands, with an e-commerce catalog of 2.5 million product listings. We are growing and investing in our digital infrastructure to deliver the best possible experience for our customers and trade partners.