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Entry Level Data Management Jobs in Seattle, WA (NOW HIRING)

Perform both geographic and non-geographic data manipulation, data management and analysis, and ... entry-level technical assistance on various environmental issues. * Work on multiple projects ...

Accurately enter orders into Enterprise CRM database * Enter orders into schedule for production ... Our company hires at entry level and promotes from within. This position may have opportunities to ...

Entry Level Procurement Agent

Seattle, WA · On-site

$62K - $85K/yr

The selected candidate will play a critical role in managing repair lifecycles, supplier ... Gathers data and contributes to supplier performance evaluation and performance improvement plans ...

Support the development and optimization of data management systems to ensure accurate maintenance of accounting records and timely financial reporting. * Prepare and submit VAT reclaim filings bi ...

... entry-level and promotional fire exam processes, managing all aspects of administration and ... data management systems Help coordinate and respond to relevant public disclosure requests in ...

Fire Exams Analyst, Senior

Seattle, WA · On-site +1

$55.19 - $64.25/hr

We develop and administer merit-based entry-level and promotional exams for the Seattle Fire and ... Manage exam-related data, documentation, and information throughout the testing lifecycle * Oversee ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Data Management information

See Seattle, WA salary details

$13

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How much do entry level data management jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for entry level data management in Seattle, WA is $23.05, according to ZipRecruiter salary data. Most workers in this role earn between $18.61 and $24.90 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data management roles often value skills and relevant training over age, and many professionals transition into data science later in their careers. Gaining knowledge of tools like SQL, Excel, and basic programming can help, regardless of age, and continuous learning is common in the field.

How to start a career in data management?

To start a career in data management, gain foundational knowledge in database concepts, data structures, and SQL through online courses or certifications. Developing skills in data cleaning, organization, and tools like Excel or data management software can improve employability, and entry-level roles often require a bachelor's degree in information systems, computer science, or related fields.

Are there entry-level jobs at data centers?

Entry-level data management roles at data centers often include positions such as data technician or assistant, which may require basic knowledge of data systems and familiarity with data management tools. These roles typically offer on-the-job training and may require certifications like CompTIA Data+ or basic IT skills. Opportunities are available for individuals seeking to start a career in data infrastructure and management environments.

What are entry level data management jobs?

Entry level data management jobs involve organizing, maintaining, and ensuring the accuracy of data within a company or organization. These roles typically include tasks such as data entry, data cleaning, updating databases, and assisting with data analysis projects under the supervision of more experienced data professionals. Entry level positions are ideal for those new to data management who want to build foundational skills in handling and processing data, often requiring attention to detail and proficiency with spreadsheet or database software.

Can I be a data analyst with no experience?

Entry level data management roles often do not require prior experience, but familiarity with tools like Excel, SQL, or data visualization software can be beneficial. Gaining relevant skills through online courses or certifications can improve your chances of starting as a data analyst without experience.

What are some common challenges faced by entry level data management professionals, and how can they be overcome?

Entry level data management professionals often encounter challenges such as ensuring data accuracy, learning new data management software, and understanding organizational data standards. These challenges can be overcome by taking advantage of training resources, seeking mentorship from experienced team members, and maintaining clear documentation. Proactively communicating with colleagues and asking questions can also help new hires quickly adapt to the team's workflows and best practices.

What are the key skills and qualifications needed to thrive as an Entry Level Data Management professional, and why are they important?

To thrive as an Entry Level Data Management professional, you need strong attention to detail, basic data analysis skills, and a relevant degree in fields like information systems, statistics, or business. Familiarity with tools such as Microsoft Excel, SQL databases, and data visualization platforms is commonly required. Excellent organizational skills, effective communication, and a proactive approach to problem-solving help you stand out in this role. These skills and qualities are essential for maintaining data accuracy, supporting business decisions, and ensuring efficient data processes.

What is the difference between Entry Level Data Management vs Data Analyst?

AspectEntry Level Data ManagementData Analyst
Required CredentialsAssociate's degree or relevant certificationsBachelor's degree in data-related fields
Work EnvironmentData entry, database maintenance, data quality controlData interpretation, reporting, visualization
Employer & Industry UsageBusinesses managing large datasets, IT departmentsMarketing, finance, healthcare, consulting firms

Entry Level Data Management focuses on organizing, maintaining, and ensuring data quality within organizations. Data Analysts interpret data to generate insights and support decision-making. While both roles require familiarity with databases and data tools, Data Analysts typically perform more analytical and reporting tasks, whereas Data Management roles emphasize data integrity and storage.

What are the most commonly searched types of Data Management jobs in Seattle, WA? The most popular types of Data Management jobs in Seattle, WA are:
What are popular job titles related to Entry Level Data Management jobs in Seattle, WA? For Entry Level Data Management jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Management jobs in Seattle, WA look for? The top searched job categories for Entry Level Data Management jobs in Seattle, WA are:

Environmental Data Analytics Specialist

WSP in the U.S.

Seattle, WA • On-site

Full-time

Posted 12 days ago


Job description

Job Summary:
WSP is a leading engineering and professional services firm dedicated to serving local communities. They are seeking an Environmental Data Analytics Specialist to support projects with their Environment, Remediation, and Water Team, focusing on data manipulation, management, and analysis within various software environments.
Responsibilities:
• Perform both geographic and non-geographic data manipulation, data management and analysis, and develop/use automated data management processes using a variety of software environments.
• Revise existing GIS layers and create new layers following established standards and procedures
• Maintain quality control standards and procedures for accurate and precise measurement and documentation.
• Assist with performing basic professional environmental science work relating to ecological systems, air, and water resources, assisting with verifying the characteristics of a site and providing entry-level technical assistance on various environmental issues.
• Work on multiple projects simultaneously, with a commitment to keeping projects on time and within budget
• Work in a production-oriented environment as part of a team
• Prepare technical documentation of project requirements, procedures, execution, and implementation plans
• Maintain metadata and best practices to support systems and data
• Assist in the preparation of various analytical reports and monthly progress reports suitable for meetings
• Exercise responsible and ethical decision-making regarding company funds, resources and conduct, and adhere to WSP’s Code of Conduct and related policies and procedures.
• Perform additional responsibilities as required by business needs.
Qualifications:
Required:
• Bachelor’s Degree in Environmental Science, Geology, Chemistry, Natural Resources Management, Geography, Computer Science, GIS, or a related science field.
• 1-3 years of experience in Environmental data.
• Experience using ESRI's ArcGIS Pro (ArcMap, ArcCatalog)
• Basic familiarity with database development and management (using MS Access and/or EQuIS)
• Basic familiarity with programming languages (for example Python, R, or Visual Basic)
• Familiarity with other Microsoft Office software (Excel, Office, Word, Access, and PowerPoint)
• Must possess good organizational and oral and written communication skills
• Ability to work both independently and as part of a team
• Excellent analytical / problem-solving skills
• Competent interpersonal and communication skills when interacting with others, expressing ideas effectively and professionally to a scientific and non-scientific audience.
• Proficient self-leadership with attention to detail, multi-tasking, and prioritization of responsibilities in a dynamic work environment.
• Basic proficiency with business writing, office automation and communication software, technology, and tools.
• Proven track record of upholding workplace safety and ability to abide by WSP’s health, safety and drug/alcohol and harassment policies.
Preferred:
• Master’s Degree in Environmental Science, Geology, Chemistry, Natural Resources Management, Geography, Computer Science, GIS, or a related science field.
• Experience with laboratory analytical data packages and electronic data reports
• Experience using ESRI’s ArcGIS Spatial Analyst Extension
• Proficient with programming languages Python, R, and/or Visual Basic
• Experience with 3D environmental visualization software (e.g. LeapFrog, EVS)
• Experience with code version control systems such as git
Company:
What if you could shape built and natural environments – and the future of those that use them? With us, you can. Founded in 1980, the company is headquartered in Houston, USA, with a team of 10001+ employees. The company is currently Late Stage.