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Data World Jobs (NOW HIRING)

Pds Company

Data Analyst

Houston, TX · On-site

Experience in creating data catalogs using tools like data.world, Alation, Collibra, etc. * Proven track record of detailed business and functional requirements * Wealth management domain experience ...

Cordova

Data Governance Lead

Omaha, NE

Hands-on experience with data catalog platforms such as Collibra, Atlan, or data.world; familiarity with data quality tooling a plus. * Background in regulated or data-intensive industries (energy ...

Info-Ways

JDE Tester

Parsippany Troy Hills, NJ

Company Description IT JDE(World) - QA Tester Strong understanding of JDE file structure and ability to mine data (World Writers, SQL). Strong ability to trouble shoot the errors generated while ...

Moffitt

$89K - $136K/yr

... from around the world. Join a dedicated team of nearly 11,000 who are shaping the future we ... Summary Data Engineer I provides daily support in developing, deploying and maintaining Data ...

Tenaska

Data Governance Engineer

Omaha, NE · On-site

$104K - $124K/yr

Experience with data catalog platforms such as Atlan or Data.world. * Experience with MDM platforms. * Experience implementing governance practices within complex enterprise environments. * Strong ...

Tenaska, Inc.

Data Governance Engineer

Omaha, NE

$104K - $124K/yr

Experience with data catalog platforms such as Atlan or Data.world. * Experience with MDM platforms. * Experience implementing governance practices within complex enterprise environments. * Strong ...

Tenaska

Data Governance Engineer

Omaha, NE · On-site

$110 - $160/hr

Experience with data catalog platforms such as Atlan or Data.world. * Experience with MDM platforms. * Experience implementing governance practices within complex enterprise environments. * Strong ...

Coefficient

Early Product Engineer - US

San Mateo, CA · On-site

$150K - $250K/yr

At the core is a shared data world model : a unified, continuously updated understanding of a company's data, business logic, and context. This allows our autonomous agents to operate with far more ...

Coefficient

Senior Product Engineer - US

San Mateo, CA · On-site

$150K - $250K/yr

At the core is a shared data world model : a unified, continuously updated understanding of a company's data, business logic, and context. This allows our autonomous agents to operate with far more ...

Coefficient

Early Product Engineer - US

San Mateo, CA · Hybrid

$150K - $250K/yr

At the core is a shared data world model : a unified, continuously updated understanding of a company's data, business logic, and context. This allows our autonomous agents to operate with far more ...

Real Chemistry

Director, Real World Data

Real Chemistry is looking for a Director, Real World Data to join our growing team! At Real Chemistry we're powering cross-functional teams with real-world data and advanced analytics to drive ...

Coefficient

Senior Product Engineer - US

San Mateo, CA · Hybrid

$150K - $250K/yr

At the core is a shared data world model : a unified, continuously updated understanding of a company's data, business logic, and context. This allows our autonomous agents to operate with far more ...

Real Chemistry

Director, Real World Data

Real Chemistry is looking for a Director, Real World Data to join our growing team! At Real Chemistry we're powering cross-functional teams with real-world data and advanced analytics to drive ...

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How much do data world jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data world in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is Data World?

Data World is a data catalog and collaboration platform that helps organizations discover, govern, and share data across teams. It allows users to connect to various data sources, organize datasets, and collaborate in real-time to derive insights. Data World is often used to break down data silos, improve data governance, and make data more accessible and usable for decision-making. The platform supports integration with popular analytics and business intelligence tools, making it easier for teams to analyze and visualize data.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in mathematics or computer science, often supported by a relevant degree. Experience with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required, along with certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate. Attention to detail, critical thinking, and effective communication are essential soft skills to interpret data and convey insights to stakeholders. These abilities are crucial for transforming complex data into actionable business decisions and driving organizational success.

What are some common challenges data analysts face when working with large datasets, and how can they be addressed?

Data Analysts often encounter difficulties such as data inconsistency, missing values, and processing delays when handling large datasets. These challenges can be mitigated by implementing robust data cleaning processes, using automation tools for repetitive tasks, and leveraging cloud-based analytics platforms for scalability. Collaboration with data engineers and IT teams is also crucial to ensure data integrity and streamline workflows. Staying updated with industry-standard software and best practices helps analysts efficiently manage complex data scenarios.

What is the difference between Data World vs Data Analyst?

AspectData WorldData Analyst
Required CredentialsTypically a background in data management, database systems, or data engineering; certifications like Microsoft Certified Data Analyst or similar are commonOften requires a degree in statistics, mathematics, or related fields; certifications like Microsoft Certified Data Analyst Associate are common
Work EnvironmentPrimarily involves managing data platforms, databases, and data infrastructure; may work with data engineers and IT teamsFocuses on analyzing data sets, creating reports, and providing insights; collaborates with business teams and stakeholders
Employer & Industry UsageUsed in organizations with large data infrastructure, including tech, finance, and healthcare sectorsCommon across industries for decision-making, marketing, finance, and operations

While both roles involve working with data, Data World typically refers to the platform or environment for managing data, whereas Data Analyst focuses on analyzing data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

More about data world jobs

What cities are hiring for Data World jobs?

Cities with the most Data World job openings:

What are the most commonly searched types of Data World jobs?

The most popular types of Data World jobs are:

What states have the most Data World jobs?

States with the most job openings for Data World jobs include:

What job categories do people searching Data World jobs look for?

The top searched job categories for Data World jobs are:

data world jobs near you
Infographic showing various Data World job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Analyst

Pds Company

Houston, TX • On-site

Full-time

Re-posted 15 days ago

Job description

Full Job Description

Job Description:

We are looking for experienced data analyst to work on different data
domains for the wealth management sector. The data analyst will work
closely with business representatives and functional leads to
understand, shape and detail business and functional requirements, and
to work with the development leads to ensure that the requirements have
been successfully translated into technical specifications. As a result,
the requirement is for a resource who has in-depth experience and
knowledge in wealth management.

Detailed exposure to one or more of functional data requirements, data modeling, data cataloging, data modeling

  • Experience in creating data catalogs using tools like data.world, Alation, Collibra, etc.
  • Proven track record of detailed business and functional requirements
  • Wealth management domain experience is preferred
  • Experience of working with development teams to implement technology solutions
  • Strong analytical, problem-solving skills
  • Strong organizational, multitasking, and prioritization skills
  • Strong written and verbal communication skills with excellent working knowledge of Microsoft Office tools.

Apply