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Part Time Weekend Data Analyst Jobs in Seattle, WA

King County, WA

Workforce Data Manager

Seattle, WA · On-site

$123K - $157K/yr

Z3 : KC Personnel Guidelines Full- or Part-Time: Full Time Hours/Week: 40 hours/week Summary King ... Analyze HR data to identify trends, generate insights, and support strategic and operational ...

Shannon & Wilson Inc

Data Engineer

Seattle, WA · On-site

$90K - $120K/yr

... data platforms and analytics capabilities to support better decision-making and operational ... prorated for part-time employment) * Sick leave accrues based on state requirements * 9 paid ...

King County, WA

Business Analyst

Seattle, WA · On-site

$110K - $139K/yr

PROTEC17-P&T-MTD Full- or Part-Time: Full Time Hours/Week: 40 hours/week Summary King County Metro ... Explore, analyze data integrity, and interpret data from multiple sources, including incomplete or ...

iSpot

Manager, Client Data Science

Bellevue, WA · Remote

$136K - $168K/yr

Comprising Analysts, Data Scientists, and Engineers, our team brings a deep understanding of the ... or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you ...

Adventhealth

RN Care Manager Weekend Part Time

Redmond, WA · On-site

$31.44 - $54.92/hr

Pet Benefits Schedule: Part time Shift: Day (United States of America) Address: 501 REDMOND RD NW ... Leadership skills [Required] Process and Outcome data analysis skills [Required] Critical thinking ...

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Part Time Weekend Data Analyst information

See Seattle, WA salary details

$38.7K

$94K

$154.8K

How much do part time weekend data analyst jobs pay per year?

As of Jul 27, 2026, the average yearly pay for part time weekend data analyst in Seattle, WA is $94,047.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,100.00 and $110,400.00 per year, depending on experience, location, and employer.

Can you be a data analyst as a side hustle?

A part time weekend data analyst can often take on side projects or freelance work outside their main job, especially if they have skills in data analysis tools like Excel, SQL, or Python. Managing a side hustle requires good time management and ensuring it does not conflict with their primary employment or contractual obligations.

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

Part-time weekend data analysts often face challenges such as limited access to team members who work standard weekday hours and tighter deadlines due to condensed work schedules. To address these, it's helpful to establish clear communication channels with colleagues and supervisors, proactively clarify expectations, and use collaborative tools that allow for asynchronous updates. Additionally, effective time management and setting priorities are essential to ensure that data analysis tasks are completed accurately and on time. Seeking feedback during available hours and documenting work thoroughly can further help maintain workflow continuity.

What are part time weekend data analysts?

Part time weekend data analysts are professionals who work with data to help organizations make informed decisions, but their work schedule is limited to weekends and often on a part-time basis. They collect, process, and analyze data using statistical tools and software, then present their findings to guide business strategies. This role is ideal for those who need flexibility or want to supplement their income, as it allows for work outside traditional weekday hours. Key responsibilities include data cleaning, report generation, and supporting data-driven decision-making. Employers often seek candidates with strong analytical skills, proficiency in tools like Excel or SQL, and the ability to communicate insights clearly.

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

To thrive as a Part Time Weekend Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a background in statistics or a related field, often supported by a relevant degree. Familiarity with data visualization tools (like Tableau or Power BI), spreadsheet software (Excel), and programming languages such as SQL or Python is typically required. Attention to detail, effective communication, and time management are vital soft skills, especially for independently handling weekend projects. These skills enable accurate data-driven insights, efficient reporting, and timely decision-making even with limited weekday collaboration.

Do data analysts work on weekends?

Data analysts, including part-time weekend roles, often work during regular business hours, but some positions may require weekend work to meet project deadlines or support 24/7 operations. Weekend work depends on the employer, industry, and specific job responsibilities, and part-time roles may have flexible schedules.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst, including part-time weekend positions, involves skills like critical thinking and communication that AI currently cannot fully replicate.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data analysis tools, programming, and statistical knowledge, which can be learned through online courses or certifications regardless of age.
What are the most commonly searched types of Weekend Data Analyst jobs in Seattle, WA? The most popular types of Weekend Data Analyst jobs in Seattle, WA are:
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Part Time Weekend Data Analyst jobs near you
Part-Time Lecturer - Analytics (Seattle)

Part-Time Lecturer - Analytics (Seattle)

Northeastern University

Seattle, WA • On-site

$1.5K/wk

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

Job description

About the Opportunity
About the Opportunity:
Northeastern University's College of Professional Studies invites applicants for a non-tenure track part-time faculty position to teach in the Master of Professional Studies in Analytics, located on-ground in Seattle, WA.
The mission of the Master of Professional Studies in Analytics program is to foster foundational analytics skills among working professionals, including preparing data, conducting data analysis such as regression, forecasting, optimization, data visualization, and data story telling. This degree prepares students for entry- and mid-level roles in analytics, such as data analyst, data specialist, database analyst, program analyst, research analyst, or research associate. These roles are general analyst roles and are not specific to any particular professional domains or disciplines (e.g., business, marketing, and engineering). The degree is deeply rooted in experiential learning that is closely linked to professional applications in the work force.
The College of Professional Studies is one of ten colleges of Northeastern University, a nationally ranked private research university. Founded in 1960, the College provides lifelong experiential learning that unleashes the capacities of aspiring individuals in all stages and walks of life. The College teaches undergraduate, graduate, and doctoral students on campus and online in more than 90 programs.
Northeastern University will not provide H-1B, TN, O-1, E-3, or any other type of employment visa sponsorship for the successful applicant to this position, now or in the future. Furthermore, the successful applicant must be able to maintain valid work authorization in the United States throughout the entire appointment without Northeastern University's sponsorship for a visa.
Responsibilities:
Instructional areas included, but are not limited to, analytics, with particular expertise in probability and statistics, data exploration, data visualization, and predictive analytics. More in formation about offered courses are available through the Northeastern Course Catalog.
Qualifications:
  • Masters in an aligned discipline and analytics-industry experience.
  • Preference for candidates with a PhD in a sciences field, or similar.
  • Demonstration of teaching, coaching, and/or training is required, with a history of successful teaching (online/on ground) at the graduate level is strongly preferred.

Application Materials
Applicants should submit materials including a cover letter and vitae. In your cover letter, please discuss how you can support our commitment to fostering an inclusive environment for all faculty, staff, and students.
Please direct questions to Joseph Reilly at j.reilly@northeastern.edu.
Position Type
Academic
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Pay Range:
The per credit rate is $1,529

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