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

You will be provided on the job training that will teach you how to perform analysis of financial ... data. In addition to base salary, UFG Insurance offers a comprehensive total rewards package that ...

Working closely with faculty investigators, trainees, and departmental leadership, this position supports all phases of the research process, including study design, implementation, data analysis ...

... trainees, and team members Acts as a subject matter expert and authority in the areas of data management and data analysis Serve as an expert resource to PIs and other stakeholders Bioinformatics ...

Kyo is a leading provider of Applied Behavior Analysis (ABA) therapy, dedicated to empowering ... data systems. * Support the development of Behavior Therapists and BCBA Trainees. WHY CHOOSE US?

Kyo is a leading provider of Applied Behavior Analysis (ABA) therapy, dedicated to empowering ... data systems. * Support the development of Behavior Therapists and BCBA Trainees. WHY CHOOSE US?

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Trainee Data Analyst information

See Bothell, WA salary details

$25.2K

$99.1K

$161K

How much do trainee data analyst jobs pay per year?

As of Jul 26, 2026, the average yearly pay for trainee data analyst in Bothell, WA is $99,116.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,800.00 and $121,300.00 per year, depending on experience, location, and employer.

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 involves skills in critical thinking, communication, and domain knowledge that AI tools currently cannot fully replicate.

What are the key skills and qualifications needed to thrive in the Trainee Data Analyst position, and why are they important?

To thrive as a Trainee Data Analyst, you need strong analytical thinking, foundational knowledge of statistics, and a relevant degree such as mathematics, economics, or computer science. Familiarity with data analysis tools like Excel, SQL, or Python, and experience with data visualization platforms such as Tableau, are typically expected, while certifications in data analytics can be advantageous. Attention to detail, problem-solving abilities, and effective communication skills help trainees work well within teams and convey data-driven insights clearly. These skills are crucial for accurately interpreting data, supporting decision-making, and contributing value to the organization’s goals.

What is a Trainee Data Analyst job?

A Trainee Data Analyst is an entry-level role where individuals learn how to collect, process, and analyze data to support business decisions. They work with tools like Excel, SQL, and Python to clean and visualize data. Under supervision, they assist in identifying trends, creating reports, and improving data accuracy. This role provides hands-on experience and training to develop analytical and technical skills for a career in data analysis.

Is 40 too late for data science?

For a Trainee Data Analyst, starting a career at age 40 is possible, as many employers value skills and experience over age. Success often depends on acquiring relevant skills such as data analysis tools, programming languages, and certifications, regardless of age. Continuous learning and practical experience can help transition into data-related roles at any age.

What are typical career growth opportunities for someone starting as a Trainee Data Analyst?

Starting as a Trainee Data Analyst often opens the door to numerous advancement opportunities in the data and analytics field. With experience and demonstrated proficiency, trainees can progress to roles such as Data Analyst, Senior Data Analyst, or specialize further in areas like Business Intelligence or Data Science. Many organizations offer mentorship, on-the-job training, and educational support to help you build new technical and analytical skills. Advancement is frequently tied to developing deeper expertise in data modeling, programming, and domain-specific knowledge, allowing for both vertical and lateral career movement within the data function.

Can I become a data analyst with no experience?

Yes, it is possible to become a data analyst with no prior experience by acquiring relevant skills such as Excel, SQL, and data visualization tools, often through online courses or certifications. Entry-level positions may provide on-the-job training to develop necessary analytical and technical skills.

What does a data analyst trainee do?

A data analyst trainee assists in collecting, cleaning, and analyzing data to identify trends and support decision-making. They often learn to use tools like Excel, SQL, and data visualization software while gaining practical experience under supervision.
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 Trainee Data Analyst jobs? Cities near Bothell, WA with the most Trainee Data Analyst job openings:
Infographic showing various Trainee Data Analyst job openings in Bothell, WA as of July 2026, with employment types broken down into 87% Full Time, 7% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $99,116 per year, or $47.7 per hour.
Trainee Consultant-Data Science

Trainee Consultant-Data Science

Applexus Technologies

Seattle, WA • On-site

Full-time

Posted 14 days ago


Job description

United States of America Seattle Full Time
Applexus is a global technology and business consulting firm founded in 2005 and headquartered in Seattle, with delivery centers across North America, Canada, the United Kingdom, and India. We help enterprises realize value from AI and advanced analytics by applying AI/ML solutions directly to core business processes. With strong foundations in SAP and enterprise platforms, Applexus delivers AI-driven transformation across SAP S/4HANA, data modernization, analytics, and cloud-native architectures. Our focus is on translating enterprise data into actionable intelligence that improves decision-making, operational efficiency, and business outcomes. Applexus approaches AI pragmatically designing solutions that are scalable, governed, and ready for real-world enterprise deployment.
Applexus AI Practice
The Applexus AI Practice is built on deep domain expertise and a strong understanding of enterprise systems, particularly SAP. We combine this knowledge with our proprietary AI accelerators to help organizations move from AI exploration to production-ready implementation. Our teams embed intelligent automation into the fabric of enterprise operations, enabling AI systems that operate within existing workflows rather than alongside them. These solutions are designed to integrate seamlessly with SAP landscapes while meeting enterprise standards for security, reliability, and performance. A key area of focus is Agentic AI-autonomous, goal-driven systems that can reason and act across enterprise processes. By pairing agentic architectures with SAP domain expertise, Applexus delivers AI solutions that are context-aware, governed, and built for scale.
About the Role:
We are looking for a motivated and inquisitive Trainee Consultant - Data Science to join our team. In this role, you will contribute to real-world machine learning and data science projects under the mentorship of experienced professionals. This opportunity is ideal for individuals who are eager to apply their academic knowledge, expand their technical skills, and gain hands-on experience in AI/ML technologies in a collaborative environment.
Skills & Qualifications:
  • Master's degree in data science, Artificial Intelligence, or a related field from an accredited U.S. university.
  • Proficiency in Python
  • Familiarity with machine learning libraries and frameworks such as scikit-learn, TensorFlow, PyTorch, or Keras.
  • Solid understanding of statistics, linear algebra, and core machine learning algorithms.
  • Strong analytical and problem-solving abilities.
  • Capable of working both independently and collaboratively in a team environment.
Key Responsibilities:
  • Assist in the design, development, and evaluation of machine learning models.
  • Perform data cleaning, preprocessing, and feature engineering tasks.
  • Contribute to projects involving predictive modeling, natural language processing (NLP), or computer vision.
  • Utilize Python and tools such as Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch in project execution.
  • Collaborate with team members to analyze outcomes and generate actionable insights.
  • Maintain thorough documentation of work, models, and findings.
What You'll Gain:
  • Practical, hands-on experience with leading AI/ML technologies.
  • Mentorship and guidance from experienced professionals in the field.
  • Opportunity to contribute to real-world projects with measurable impact.
  • Potential consideration for future full-time roles will be based on performance during the training tenure.
How to Apply
Interested candidates may apply through the career site by submitting their full resume.
  • Preference will be given to U.S. Citizens and Green Card holders.
  • Candidates on OPT with STEM extension eligibility are also welcome to apply and will be considered based on merit. If on OPT, please specify the validity period and indicate STEM eligibility.

Location: Seattle, USA Work Hours: Full Time (40 hours per week)
Join the Team