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Temporary Data Analyst Jobs in Bothell, WA (NOW HIRING)

AI Data Engineer 3

Redmond, WA · On-site

$70 - $77/hr

Temporary Salary: $70-77 Hourly up to $77/hr Start Date: Jul 13, 2026 Join a leading global ... Analyze extensive and intricate datasets to uncover trends, identify anomalies, pinpoint gaps ...

... temporary Research Coordinator 3 to join their team. About this Opportunity Reporting to the ... Knowledge of human subjects research, including study implementation, data analysis, regulatory ...

Bioinformatic analysis and data processing (65%) * Fieldwork (optional) (5%) * Lab management ... This is a temporary position FTE (Full-Time Equivalent): 0.00% Union/Bargaining Unit: SEIU Local ...

... data entry to ensure accuracy * analyze electronic health records of participating clinics ... This is a temporary position FTE (Full-Time Equivalent): 100.00% Union/Bargaining Unit: Not ...

In this collaborative role you would monitor resources, manage data and provide reports to inform ... First Shift (United States of America) Temporary or Regular? This is a regular position FTE ...

In this collaborative role you would monitor resources, manage data and provide reports to inform ... First Shift (United States of America) Temporary or Regular? This is a regular position FTE ...

Showing results 21-40

Temporary Data Analyst information

See Bothell, WA salary details

$38K

$92.4K

$152K

How much do temporary data analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for temporary data analyst in Bothell, WA is $92,382.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,900.00 and $108,400.00 per year, depending on experience, location, and employer.

What is a temporary data analyst?

A Temporary Data Analyst is a professional hired for a limited period to help organizations collect, process, and interpret data. They often assist with short-term projects, data clean-up, or to fill in during staff absences. Their responsibilities include analyzing datasets, creating reports, and providing actionable insights to support business decisions. Temporary Data Analysts typically have strong analytical skills, proficiency in data tools, and the ability to quickly adapt to new environments.

What are temporary jobs for a data analyst?

As a temporary data analyst, you analyze information to help solve problems ranging from sales figures to social media interactions to brand awareness. In this temporary position, you work with one client or employer on one project at a time as part of a contract. You might work with businesses, tech companies, government organizations, health care facilities, or educational institutes. Your responsibilities are to gather data and statistics and create reports for distribution. You typically use Excel and various data sources to analyze and update information. Other duties include performing data entry and supporting members of the analyst team as needed.

What types of projects and tasks can a temporary data analyst expect to work on during a typical assignment?

As a Temporary Data Analyst, you'll often be brought in to support short-term projects such as cleaning and organizing large datasets, generating routine or ad-hoc reports, or assisting with data migration efforts. You may also be tasked with analyzing trends, creating data visualizations, or providing insights to help teams make data-driven decisions. The work environment is usually fast-paced, with tight deadlines and close collaboration with permanent analysts, project managers, or business stakeholders to quickly deliver actionable results.

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

To thrive as a Temporary Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a background in statistics or a related field, often supported by a bachelor’s degree. Familiarity with data analysis tools like Excel, SQL, and visualization software such as Tableau or Power BI is typically required. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for translating complex data into actionable insights. These competencies enable quick adaptation, accurate analysis, and clear reporting, which are crucial for delivering results within limited project timelines.

What is the difference between Temporary Data Analyst vs Data Scientist?

AspectTemporary Data AnalystData Scientist
CredentialsBachelor's degree in data-related fields; certifications like Microsoft Excel, SQLBachelor's or master's in data science, statistics, or related fields; advanced certifications
Work EnvironmentContract roles, short-term projects, business officesLong-term projects, research environments, tech companies
Employer & Industry UsageBusinesses seeking quick data insights, consulting firmsTech firms, research institutions, large enterprises
Search & Comparison IntentLooking for temporary data roles, entry-level opportunitiesSeeking advanced data roles, career growth

The main difference between a Temporary Data Analyst and a Data Scientist lies in their roles, experience, and project scope. Temporary Data Analysts typically handle short-term projects with basic data analysis skills, while Data Scientists work on complex models and long-term research. Both roles are essential in data-driven industries, but they differ in experience level and responsibilities.

Can I be a temporary data analyst in 3 months?

Becoming a temporary data analyst in three months is possible if you have prior experience or relevant skills in data analysis, such as proficiency in Excel, SQL, or data visualization tools. Typically, employers look for candidates with some technical knowledge and the ability to quickly learn new software, but completing a short-term training program or bootcamp can also help you qualify within that timeframe.

Can I be a temporary data analyst with no experience?

Temporary data analyst positions often require some familiarity with data analysis tools like Excel or SQL, but entry-level roles may be available for candidates with minimal experience if they demonstrate strong analytical skills and willingness to learn. Gaining relevant certifications or completing online courses can improve chances of securing such roles without prior experience.

Can you be a temporary data analyst as a side hustle?

Yes, a temporary data analyst can often work as a side hustle if their schedule allows and they have the necessary skills in data analysis tools like Excel, SQL, or Python. Freelance or part-time data analysis projects are common options for supplementing income outside of full-time roles.

What are the most commonly searched types of Data Analyst jobs in Bothell, WA?

The most popular types of Data Analyst jobs in Bothell, WA are:

What cities near Bothell, WA are hiring for Temporary Data Analyst jobs?

Cities near Bothell, WA with the most Temporary Data Analyst job openings:

Infographic showing various Temporary Data Analyst job openings in Bothell, WA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution, with an average salary of $92,382 per year, or $44.4 per hour.

AI Data Engineer 3

Aquent

Redmond, WA • On-site

$70 - $77/hr

Temporary

Medical, Dental, Vision, Retirement

Re-posted 16 days ago


Job description

Placement Type:
Temporary
Salary:
$70-77 Hourly
up to $77/hr
Start Date:
Jul 13, 2026
Join a leading global technology company that is at the forefront of innovation, shaping the future of digital experiences and infrastructure. This organization is dedicated to creating groundbreaking solutions that empower individuals and businesses worldwide, driven by a mission to make advanced technology accessible and impactful. As an Aquent talent, you will play a pivotal role in this mission, contributing to a team that values data-driven decisions and operational excellence, partnering to drive significant advancements. This is an exciting opportunity to leverage your analytical prowess to ensure data reliability, enhance business intelligence, and directly influence critical decision-making. You will be instrumental in bridging the gap between data, operations, and business stakeholders, making a tangible difference in how this organization operates and innovates. Your contributions will directly impact the efficiency and performance of vital systems, shaping the future of digital experiences.
Your Impact
  • Collaborate with engineering, operations, program management, and leadership to define data requirements and develop reporting and analytics solutions that inform strategic decisions.
  • Analyze extensive and intricate datasets to uncover trends, identify anomalies, pinpoint gaps, assess risks, and discover opportunities for operational enhancement.
  • Conduct thorough data quality assessments, validation, and verification to ensure accuracy, completeness, consistency, and integrity across diverse data sources and systems.
  • Design, implement, automate, and maintain scalable data collection, transformation, and validation processes, significantly reducing manual effort and boosting reliability.
  • Develop and maintain comprehensive dashboards, scorecards, KPI reporting, and self-service analytics solutions that provide clear visibility into operational performance, system health, program status, and business outcomes.
  • Establish robust data validation frameworks, monitoring processes, and quality controls to proactively detect and resolve data issues.
  • Partner with technical teams to refine data models, improve metadata management, optimize reporting structures, and strengthen overall data governance practices.
  • Translate complex technical findings into clear, actionable insights and recommendations, effectively communicating with both technical and executive audiences.
  • Drive continuous improvement initiatives through automation, standardization, and the implementation of scalable reporting and analytics solutions.
  • Support root cause analysis and investigative efforts by utilizing data to identify the underlying causes of performance issues and operational risks.
  • Document processes, methodologies, reporting requirements, and data quality standards to ensure consistency and scalability.

Required Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.
  • Experience designing and implementing data quality validation, verification, and monitoring processes.
  • Strong troubleshooting, problem-solving, analytical thinking, and investigative skills.
  • Experience in business intelligence, reporting, data quality management, or related analytical disciplines.
  • Proficiency in developing dashboards and visualizations using business intelligence tools such as Power BI, Tableau, or similar platforms.
  • Experience automating manual processes using scripting, workflow automation, or data integration technologies.
  • Solid written and verbal communication skills with the ability to convey complex findings to diverse audiences.
  • Demonstrated success in delivering scalable solutions that enhance efficiency, data accuracy, and operational visibility.

Preferred Qualifications
  • Experience with operational, engineering, IoT, industrial controls, or critical infrastructure data.
  • Experience implementing automated data validation and exception management processes.
  • Experience developing executive-level dashboards and KPI scorecards.
  • Familiarity with operations and power distribution systems.
  • Ability to analyze telemetry data to spot irregularities and contribute to problem-solving.

About Aquent Talent:
Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands.
Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits!
Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.
Client Description
Join a global technology leader driving innovation and empowering people and organizations worldwide to achieve more. Here, you'll collaborate with passionate, diverse teams to create impactful solutions that shape the future. The culture prioritizes growth, inclusion, and purpose-where your ideas are valued, and your work drives real change. Wherever your passion lies and wherever your career is headed-you'll play a role in projects that touch billions of lives. With flexible work options and a supportive environment, you'll have the tools to thrive both personally and professionally. Be part of something that truly matters.
Why work with AQUENT? Check out our awesome benefits: https://aquent.com/talent/talent-benefits
Aquent is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.