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

Reply

Manager, Data Engineering

Seattle, WA · On-site

$160K - $190K/yr

Contributing to and overseeing the successful delivery of data platform, analytics, and data ... Reply is a network of highly specialized companies supporting global industrial groups operating in ...

Pwc

Data Engineer - Manager

Seattle, WA

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics - 5 years of experience ...

Pwc

Data Engineer - Senior Associate

Seattle, WA · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics - 2 years of experience ...

Stripe

Senior Data Scientist

Seattle, WA · On-site +1

$192K - $288K/yr

... Industrial Engineering, Business Analytics, Mathematics or a related field, plus three (3) years of ... Data Science or a related occupation. Must have three (3) years in each of the following:

Stripe

Senior Data Scientist

Seattle, WA · On-site

$192K - $288K/yr

... Industrial Engineering, Business Analytics, Mathematics or a related field, plus three (3) years of ... Data Science or a related occupation. Must have three (3) years in each of the following:

Stripe

Senior Data Scientist

Seattle, WA · On-site

$192K - $288K/yr

... Industrial Engineering, Business Analytics, Mathematics or a related field, plus three (3) years of ... Data Science or a related occupation. Must have three (3) years in each of the following:

Triwill Group

Senior Data Scientist

Seattle, WA · On-site

$192 - $288/hr

... Industrial Engineering, Business Analytics, Mathematics or a related field, plus three (3) years of ... Data Science or a related occupation. Must have three (3) years in each of the following:

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All JobsIndustrial Data Analyst JobsIndustrial Data Analyst Jobs in Bothell, WA

Industrial Data Analyst information

See Bothell, WA salary details

$38K

$92.4K

$152K

How much do industrial data analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for industrial 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 does an industrial data analyst do?

An Industrial Data Analyst is responsible for collecting, interpreting, and leveraging data to improve processes within manufacturing and industrial environments. They analyze production data, equipment performance, and operational trends to identify inefficiencies and recommend improvements. Their role often involves using statistical software, database tools, and data visualization to help companies optimize productivity, reduce costs, and maintain quality standards. Collaboration with engineers, plant managers, and IT professionals is a key part of their work. Ultimately, Industrial Data Analysts play a crucial role in driving data-informed decisions in industrial settings.

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

To thrive as an Industrial Data Analyst, you need strong analytical skills, proficiency in statistical analysis, and a background in engineering, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and industrial data management systems is typically required, along with relevant certifications in data analytics. Strong communication, problem-solving abilities, and attention to detail help analysts translate complex data into actionable insights for stakeholders. These skills are vital for optimizing industrial processes, improving efficiency, and supporting data-driven decision-making in a competitive environment.

What are some common challenges an industrial data analyst faces when working with manufacturing data?

Industrial Data Analysts often encounter challenges related to integrating data from diverse sources such as sensors, machines, and production systems, which may operate on different platforms and formats. Ensuring data accuracy and reliability can be difficult due to intermittent sensor failures or inconsistent data logging. Additionally, analysts must often balance the need for actionable insights with the complexities of large-scale data processing, all while collaborating closely with engineers and production managers to translate findings into operational improvements. Overcoming these challenges requires strong communication skills, technical expertise, and adaptability.

What is the difference between Industrial Data Analyst vs Manufacturing Data Analyst?

AspectIndustrial Data AnalystManufacturing Data Analyst
CredentialsBachelor's in Data Science, Industrial Engineering, or related fields; certifications like CAP or Six SigmaBachelor's in Data Analytics, Manufacturing Engineering, or related fields; similar certifications
Work EnvironmentFactories, industrial plants, supply chain settingsManufacturing plants, production lines, assembly facilities
Employer & Industry UsageIndustrial sectors, logistics, supply chain companiesManufacturing companies, automotive, electronics, consumer goods
Common Search & ComparisonYesYes

The Industrial Data Analyst and Manufacturing Data Analyst roles share similar credentials, work environments, and industry usage. The main difference lies in their focus areas: Industrial Data Analysts often work across broader industrial sectors and supply chains, while Manufacturing Data Analysts concentrate specifically on manufacturing processes and production efficiency. Both roles require strong analytical skills and familiarity with industrial or manufacturing systems.

What are popular job titles related to Industrial Data Analyst jobs in Bothell, WA?

For Industrial Data Analyst jobs in Bothell, WA, the most frequently searched job titles are:

What job categories do people searching Industrial Data Analyst jobs in Bothell, WA look for?

The top searched job categories for Industrial Data Analyst jobs in Bothell, WA are:

Industrial Data Analyst jobs near you
Infographic showing various Industrial Data Analyst job openings in Bothell, WA as of August 2026, with employment types broken down into 78% Full Time, and 22% Nights. Highlights an 100% In-person job distribution, with an average salary of $92,382 per year, or $44.4 per hour.

Manager, Data Engineering

Reply

Seattle, WA • On-site

$160K - $190K/yr

Full-time

Re-posted 26 days ago

Job description

Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business.

At Valorem Reply, we are hiring a Manager for the Data & AI team. The person will mainly focus on building modern data platforms using Microsoft cloud technologies, including Fabric and Databricks for our customers. As a technical leader, the person will assist with setting the technical direction of the practice and keep up to date with current trends in data-focused technology. The ideal candidate will have strong communication skills and serve as a trusted partner to our customers. A strong understanding of data governance and advising customers on frameworks is critical to this role. This is an exciting role for people that like collaborating across a team, enjoying flexibility/autonomy in completing work, and solving challenging problems.

Responsibilities
  • Assist in new business development and technical sales through development of proposals, estimation, statements of work, and requests for proposals
  • Contributing to and overseeing the successful delivery of data platform, analytics, and data science projects while liaising with clients to meet their needs
  • Providing leadership, coaching, and mentorship to team members and supporting their professional development while establishing a learning culture
  • Staying current on latest trends and technologies, while sharing expertise with colleagues, clients, and industry peers through speaking engagements, publications, and workshops
  • Defining data roadmaps at the executive level for clients and detailed planning of data and AI governance frameworks
  • Collaborating with project management to plan work for delivery teams and verifying quality deliverables
Minimum Requirements
  • Bachelor's degree in computer science or related field
  • 12 years of industry experience, with 4 most recent years as a hands-on manager leading a team on enterprise scale data platform projects
  • 4 years of experience in a consulting role working directly with Enterprise customers
  • Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL
  • Deep expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI
  • Experience setting end-to-end modern data platforms in Azure including architecture/design, ingestion, storage strategies, analytics & reporting, Apache Spark, and networking requirements
  • Experience establishing data management strategy for customers, including data governance, data security, master data management, and familiarity with different industry security requirements
  • Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies
Preferred Qualifications
  • Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps
  • Knowledge and familiarity with Microsoft Purview
  • DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)
  • Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft
  • Experience with industry leading data tools, such as Profisee, FiveTran, DBT, and Collibra
About Reply
 
Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.
 
The base compensation range for this full-time position is between $160,000 - $190,000 plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also take into consideration prior experience, relevant skills, education and/or training, certifications and, as applicable, other required qualifications. If you have questions regarding compensation, the talent acquisition team can provide relevant details during the interview process.
 
Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at [email protected]. Visit our website at www.reply.com to learn more about our open roles.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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