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Part Time Data Management Jobs in Seattle, WA (NOW HIRING)

Advanced coding skill in Python, or R; ● Management Experience: 1+ years of people management or ... or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you ...

Data Engineer

Seattle, WA · On-site

$90K - $120K/yr

We are seeking a Data Engineer to manage, optimize, and evolve our new Microsoft-based data ... prorated for part-time employment) * Sick leave accrues based on state requirements * 9 paid ...

Uniform Attendant

Snoqualmie, WA · On-site

$21.91 - $23/hr

Job Type Part-time Description Pay Rate: $21.91/hr., dependent on experience Shift: Varies ... Contribute to operational efficiency through effective data management, garment processing, and ...

New

Uniform Attendant

Snoqualmie, WA · On-site

$21.91 - $23/hr

Position Type: Part-Time A FULL HOUSE OF TOTAL REWARDS * Competitive Pay: Starting salary range of ... Contribute to operational efficiency through effective data management, garment processing, and ...

New

... Managing multiple tasks at once while staying calm and focused under pressure. - Assisting with ... Msg & data rates may apply. Powered by Homebase. Free employee scheduling, time clock and hiring ...

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Part Time Data Management information

See Seattle, WA salary details

$16

$37

$64

How much do part time data management jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for part time data management in Seattle, WA is $37.64, according to ZipRecruiter salary data. Most workers in this role earn between $27.88 and $44.57 per hour, depending on experience, location, and employer.

Is data management in demand?

Data management is in high demand across many industries due to the increasing reliance on data-driven decision making. Roles like part-time data management often require skills in database tools, data analysis, and organization, making these positions valuable in the job market.

What is a Part Time Data Management job?

A Part Time Data Management job involves handling, organizing, and maintaining data for a company on a limited-hour basis. Responsibilities may include data entry, cleaning, updating databases, and ensuring data integrity. These roles are common in industries like finance, healthcare, and marketing, where accurate data is essential. Part-time positions may offer flexible hours, making them ideal for students or professionals seeking supplementary income. Proficiency in data management tools like Excel, SQL, or database software is often required.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst, as the role values skills in data analysis, programming, and tools like Excel, SQL, and Python. Many professionals transition into data analysis later in their careers, and relevant certifications or training can help demonstrate competence regardless of age.

What are the key skills and qualifications needed to thrive in the Part Time Data Management position, and why are they important?

To thrive as a Part Time Data Management professional, you need a strong attention to detail, data entry accuracy, and familiarity with data organization principles, typically supported by relevant coursework or experience. Proficiency in tools such as Microsoft Excel, database management systems (like SQL), and data visualization software is often expected, and certifications in data analytics or database administration can be an advantage. Strong organizational, time-management, and communication skills help individuals excel when handling multiple tasks and collaborating with team members. These skills are essential to ensure data integrity, support business operations, and contribute effectively within a part-time capacity.

What are the typical daily responsibilities for someone in a Part Time Data Management position?

In a Part Time Data Management role, your daily tasks often include entering, updating, and verifying data in company databases to maintain accuracy and consistency. You may also be responsible for generating regular reports, performing data quality checks, and assisting with the organization and archiving of important records. Collaboration with other departments, such as IT or finance, is common to ensure data requirements are met and to resolve any discrepancies. This structured yet flexible work typically supports broader business functions and can provide valuable experience in both technical and analytical aspects of data management.

How can I make 2000 a week working from home?

Part time data management roles can offer flexible schedules, but earning $2000 weekly typically requires multiple contracts or high-volume projects, often involving skills in data entry, database management, or data analysis. Increasing income may involve developing specialized skills, using freelance platforms, or working with multiple clients simultaneously.

Is data management a good career option?

Data management is a viable career choice, especially for roles like part-time data management, which involve organizing, storing, and maintaining data using tools such as databases and spreadsheets. It offers opportunities in various industries, requires attention to detail and technical skills, and can lead to advancement in data analysis or information systems fields.
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 Part Time Data Management jobs in Seattle, WA? For Part Time Data Management jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Part Time Data Management jobs in Seattle, WA look for? The top searched job categories for Part Time Data Management jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Part Time Data Management jobs? Cities near Seattle, WA with the most Part Time Data Management job openings:
Infographic showing various Part Time Data Management job openings in Seattle, WA as of July 2026, with employment types broken down into 100% Part Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $78,291 per year, or $37.6 per hour.

Manager, Client Data Science

iSpot

Bellevue, WA • Remote

$136K - $168K/yr

Full-time, Part-time

Posted 27 days ago


Job description

Immigration / Work Authorization Notice: Applicants must be currently authorized to work in the United States. iSpot is not able to sponsor or take over sponsorship of an employment visa for this position at this time.

iSpot competes for the best talent. Our compensation packages consist of salary and equity in one of Seattle's hottest start-ups, as well as other standard benefits. Most importantly, we provide a really interesting working experience, and the chance to contribute to the success of something great.

What You'll Be Part Of:

Our Client Data Science team is dedicated to delivering invaluable insights and reports to our clients. We thrive on innovation, employing cutting-edge techniques that empower our clients to advance their businesses. Comprising Analysts, Data Scientists, and Engineers, our team brings a deep understanding of the media landscape, advanced data science techniques, and strong coding skills, all fueled by a passion for growth.

Responsibilities:

As a key member of the Client Data Science team, you will be responsible for a variety of critical tasks, including:

● Managing, mentoring and growing three direct reports as well as fostering growth of the entire Data Science team.
● Collaborating on complex problems, both independently and as part of a team, while writing and optimizing R, Python, or SQL scripts for effective data processing.
● Adapting existing tools and methods to meet evolving needs, balancing workloads across various projects, and leveraging solid machine learning and statistical skills to inform data-driven decisions.
● Collecting, aggregating, and manipulating data from multiple sources, applying analytical techniques to derive insights, and creating clear visualizations or reports.
● Engaging with internal and external teams to clarify requirements, address challenges, and develop tailored solutions, while documenting project status and updates in tools like JIRA.
● Communicating effectively with diverse audiences, translating complex findings into accessible formats through written reports and presentations, and actively participating in team discussions to support collaboration and problem-solving.
Qualifications and Education Requirements:
● Experience: 5+ years of experience in Analytics, Data Science, or a comparable field
● Education: Bachelor's degree in a quantitative or social science field, Master's/PhD preferred
● Coding Experience: 3+ years coding experience with 2+ years coding specifically in R or Python;
● Coding Skill: Advanced coding skill in Python, or R;
● Management Experience: 1+ years of people management or people mentorship;

Preferred Skills:

• Technical Knowledge: Intermediate knowledge of Analytics, Data Science, Statistics, Marketing, and Visualizations;
• Communication: Exceptional written and verbal communication with internal and external stakeholders at all levels;
• iSpot's Client Data Science team expects all candidates to have a range of soft skills, including but not limited to: critical thinking, attention to detail, and effective communication. Additionally, the following soft skills are required for success in this role: Problem solving; Empathy; Leadership.

Target cash compensation range: $136,000-168,000 USD Annually

We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot's equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.

For more information on total rewards package, go HERE

Hybrid & Flexible Workplace Policy

iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency.

Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.

#LI-REMOTE

If you don't feel you met every single requirement for the role, don't rule yourself out. Please apply anyway!

iSpot is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please contact our HR team.

California Residents applying for positions at iSpot can access our California Consumer Privacy Act here.