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Entry Level Data Analyst Ibm Jobs in Seattle, WA

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

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

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 ...

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 ... data management systems Help coordinate and respond to relevant public disclosure requests in ...

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Entry Level Data Analyst Ibm information

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$15

$37

$70

How much do entry level data analyst ibm jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for entry level data analyst ibm in Seattle, WA is $37.47, according to ZipRecruiter salary data. Most workers in this role earn between $24.09 and $41.88 per hour, depending on experience, location, and employer.

What does an entry level data analyst at IBM do?

An Entry Level Data Analyst at IBM is responsible for collecting, processing, and analyzing large sets of data to help the company make informed business decisions. They use statistical tools and programming languages like SQL, Python, or R to clean and interpret data, create reports, and identify trends or insights. Typically, they collaborate with different teams to translate business needs into data-driven solutions, ensuring data integrity and accuracy throughout the analysis process.

What are the key skills and qualifications needed to thrive as an entry level data analyst at IBM?

To thrive as an Entry Level Data Analyst at IBM, you need a solid background in statistics, data analysis, and a relevant degree in fields like computer science, mathematics, or economics. Familiarity with analytical tools such as Excel, SQL, Python, and data visualization platforms like Tableau or IBM Cognos is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret data findings and explain insights to stakeholders. These skills and qualifications are crucial for delivering accurate, actionable business intelligence in a results-driven, collaborative environment.

What does the typical onboarding process look like for an entry level data analyst at IBM?

As an Entry Level Data Analyst at IBM, you'll participate in a structured onboarding process designed to help you acclimate to both IBM's culture and your specific team. This typically includes orientation sessions, technical training on IBM tools and platforms, and mentorship from experienced analysts. You'll work closely with your immediate team members and cross-functional partners, gradually taking on more complex data projects as you build your confidence. Regular feedback sessions and access to learning resources further support your professional growth, ensuring a smooth transition into your new role.

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

AspectEntry Level Data Analyst IbmData Analyst
Required CredentialsBachelor's in CS, IT, or related field; IBM certifications beneficialBachelor's in similar fields; certifications vary by employer
Work EnvironmentIBM offices, client sites, or remote; corporate settingCorporate, tech, finance, or healthcare sectors; office or remote
Employer & Industry UsagePrimarily in IBM's technology and consulting divisionsAcross various industries including finance, healthcare, and tech

While both roles involve analyzing data to support business decisions, Entry Level Data Analyst Ibm typically focuses on IBM-specific tools and projects within IBM's environment, whereas Data Analysts work across diverse industries with a broader range of tools and platforms.

Can I be an entry level data analyst ibm with no experience?

Entry level data analyst roles at IBM typically require some foundational skills in data analysis, such as proficiency in Excel, SQL, or data visualization tools. While prior experience is not always mandatory, having relevant coursework, certifications, or internships can improve your chances of being considered for the position.

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

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

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For Entry Level Data Analyst Ibm jobs in Seattle, WA, the most frequently searched job titles are:

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The top searched job categories for Entry Level Data Analyst Ibm jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Entry Level Data Analyst Ibm jobs?

Cities near Seattle, WA with the most Entry Level Data Analyst Ibm job openings:

Data Protection, A/SA-Evergreen

Seattle, WA • On-site


Accenture
IT Services • 10K+ employees

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

51st of 499 rated business services

People enjoy working here

Good employer

Recommended by parents


$84K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data governance, and privacy solutions for Avanade clients. You'll work under the guidance of senior team members to help design, implement, and operate data protection capabilities while building strong foundational skills in security, compliance, and client delivery.

What you'll do
  • Support client engagements focused on data protection, data governance, and compliance initiatives.

  • Assist with configuration and administration of Microsoft Purview capabilities (e.g., sensitivity labels/encryption, DLP policies, data classification/discovery, Insider Risk Management).

  • Participate in requirements gathering, workshops, and documentation efforts.

  • Execute assigned tasks within project plans and contribute to on-time, high-quality delivery.

  • Develop technical documentation, configuration guides, and client-ready deliverables.

  • Actively pursue learning, certifications, and hands-on experience in data protection technologies.

  • Contribute to emerging areas such as AI and agentic AI security, under guidance.

.

Qualifications

  • 2+ years of relevant experience.

  • Degree in Information Technology, Cybersecurity, Computer Science, or related field (or equivalent experience).

  • Exposure to Microsoft 365 or Azure environments preferred.

  • Prior internship, academic project, or entry-level experience in security or compliance is a plus.

  • Microsoft security-related certifications strongly preferred (e.g., SC-900, AB-900, AI-901).

Compensation at Avanade varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Avanadeprovidesa reasonable range of compensation for roles that may be hired as set forth below.

Weanticipatethis job posting will be posted until 8/31/2026.

Avanade offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.

See more information on our benefits here:Benefits and Total Rewards | Avanade United States

Role Location Annual Salary Range

California $84,800to $100,700

Cleveland $76,000to $90,250

Colorado $76,000to $90,250

District of Columbia $88,000to $104,500

Illinois$84,800to $100,700

Maine $76,000to $90,250

Maryland $88,000to $104,500

Massachusetts $88,000to $104,500

Minnesota $84,800to $100,700

New York $92,800to $110,200

New Jersey $84,800to $100,700

Virginia $84,800to $100,700

Washington $88,000to $104,500

.



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