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Junior Data Protection Analyst Jobs in Renton, WA

Mentor and grow the team by developing junior data scientists, fostering a culture of analytical rigor and psychological safety, and contributing to hiring through interviews and calibrations You ...

Senior Data Analyst

Seattle, WA

$97K - $123K/yr

Mentor junior analysts, perform code reviews for analytical queries, and foster a data-driven ... class protected by the laws or regulations in the locations where we operate. If you need ...

Senior Data Analyst

Seattle, WA · On-site

$114K - $196K/yr

Mentor junior analysts, perform code reviews for analytical queries, and foster a data-driven ... class protected by the laws or regulations in the locations where we operate. If you need ...

Mentor junior analysts, perform code reviews for analytical queries, and foster a data-driven ... class protected by the laws or regulations in the locations where we operate. If you need ...

Principal Data Scientists

Bellevue, WA · On-site

$196.91 - $224/hr

Mentor and review the work of junior data scientists providing methodological direction, feedback ... Skill requirements: * (1) Using SQL and Python or other statistical/analytical programming ...

Mentor and grow the team by developing junior data scientists, fostering a culture of analytical rigor and psychological safety, and contributing to hiring through interviews and calibrations You ...

Data Analyst 4

Redmond, WA · On-site

$71 - $76/hr

This is an exceptional opportunity to apply your expertise in data engineering, analytics, and ... protected characteristics.

Showing results 21-40

Junior Data Protection Analyst information

See Renton, WA salary details

$38.8K

$89.3K

$143.4K

How much do junior data protection analyst jobs pay per year?

As of Aug 18, 2026, the average yearly pay for junior data protection analyst in Renton, WA is $89,257.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,100.00 and $91,700.00 per year, depending on experience, location, and employer.

What is the difference between Junior Data Protection Analyst vs Data Privacy Specialist?

AspectJunior Data Protection AnalystData Privacy Specialist
CertificationsBasic data protection and privacy certifications (e.g., CIPP/US, CIPM)Similar certifications, often more advanced or specialized
Work EnvironmentEntry-level role, supporting data protection initiatives within organizationsFocused on privacy compliance, policy development, and risk assessment
Employer & Industry UsageCommon in tech, finance, healthcare sectorsUsed across industries with strong privacy regulations
Search & Comparison IntentUnderstanding entry-level data protection rolesClarifying privacy compliance responsibilities

The Junior Data Protection Analyst typically handles foundational data protection tasks, supporting compliance efforts. In contrast, a Data Privacy Specialist often focuses on developing privacy policies and ensuring regulatory adherence. Both roles require similar certifications and are prevalent in regulated industries, but they differ in scope and seniority.

What are popular job titles related to Junior Data Protection Analyst jobs in Renton, WA?

For Junior Data Protection Analyst jobs in Renton, WA, the most frequently searched job titles are:

What job categories do people searching Junior Data Protection Analyst jobs in Renton, WA look for?

The top searched job categories for Junior Data Protection Analyst jobs in Renton, WA are:

What cities near Renton, WA are hiring for Junior Data Protection Analyst jobs?

Cities near Renton, WA with the most Junior Data Protection Analyst job openings:

Infographic showing various Junior Data Protection Analyst job openings in Renton, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $89,257 per year, or $42.9 per hour.

Staff Product Data Scientist, Lending

Socket.dev

Seattle, WA • On-site

$239.60 - $359.40/hr

Other

Posted 13 days ago


Job description

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers. We want to redefine the world's relationship with money to make it more relatable, instantly available, and universally accessible.

Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We've been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.

The Role

The Data Science team at Block turns unique customer and product data into decisions that expand access to financial services. Our Lending team powers decisioning behind Cash App Borrow, Afterpay, Square Loans, and the next generation of first-party credit products.

We're looking for a Product Data Scientist to help build, measure, and improve credit products that serve customers traditional credit systems often miss. You'll partner closely with product, engineering, and risk teams to define metrics, evaluate experiments, understand customer behavior, and turn ambiguous product questions into clear decisions.

This is an agentic data science role. You'll use AI tools and agent workflows to move faster and think more rigorously across the full data science loop: exploring messy datasets, building pipelines, stress-testing hypotheses, evaluating product changes, and turning analysis into decisions.

You Will
  • Turn complex product, customer, and risk data into clear insights, decision frameworks, and durable measurement systems for product, risk, and business partners
  • Use AI tools and agent workflows to improve both the speed and quality of analytical work, from accelerating exploration and automating repetitive tasks to generating hypotheses and stress-testing conclusions
  • Own end-to-end execution across analysis, metrics definition, experimentation, forecasting, visualization, and decision support
  • Define and maintain measurement frameworks for credit products, including customer eligibility, repayment behavior, product usage, loss performance, funnel health, and long‑term customer outcomes
  • Partner with risk teams to evaluate model and policy performance, monitor cohorts, identify bias or drift, and connect risk decisions to product and business impact
  • Design and analyze experiments, rollouts, and policy changes that shape customer access, repayment outcomes, and product growth
  • Approach ambiguous product and risk questions from first principles, using statistical judgment to define the right cohorts, metrics, and decision criteria
  • Communicate insights clearly to technical, product, and business stakeholders, including risk partners and senior decision‑makers
  • Lead technical direction and standards for the Block Data Science team - making and building consensus on key technical decisions, and creating reusable frameworks, measurement templates, and scalable tooling that remove complexity for others.
  • Drive localized cross‑team impact by connecting measurement and insights across Lending products (Borrow, Afterpay, Square Loans) and partnering with senior stakeholders in product, engineering, and risk to align Data Science work with broader strategy.
  • Mentor and grow the team by developing junior data scientists, fostering a culture of analytical rigor and psychological safety, and contributing to hiring through interviews and calibrations
You Have
  • A bachelor's degree in statistics, data science, economics, computer science, or a similar quantitative field with 12+ years of experience in a relevant role OR
  • A graduate degree in statistics, data science, economics, computer science, or a similar quantitative field with 6-8+ years of experience in a relevant role
  • Advanced proficiency with SQL and experience building clear, decision-oriented data visualizations
  • Strong product, analytical, and statistical judgment, including the ability to turn ambiguous product, customer, or risk questions into sound analyses, communicate tradeoffs clearly, and support decisions
  • Experience using AI tools to improve the speed, quality, and durability of analytical work

Block takes a market‑based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate's starting pay will be determined based on job‑related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. To find a location’s zone designation, please refer to this resource.

  • Zone A: $239,600 - $359,400 USD
  • Zone B: $239,600 - $359,400 USD
  • Zone C: $239,600 - $359,400 USD
  • Zone D: $239,600 - $359,400 USD
  • Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering.
  • Check out our other benefits at Block.

Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self‑custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone.

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