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Data Analytics Jobs in Bellingham, WA (NOW HIRING)

Lynden Door

Applications and Process Analyst

Lynden, WA · On-site

$25 - $48/hr

Stay current with emerging technologies in industrial automation, data analytics, and digital manufacturing to keep Lynden Door ahead of the curve. What You Bring: * Bachelor's degree in Industrial ...

Lynden Door

Applications and Process Analyst

Lynden, WA · On-site

$25 - $48/hr

Stay current with emerging technologies in industrial automation, data analytics, and digital manufacturing to keep Lynden Door ahead of the curve. What You Bring: * Bachelor's degree in Industrial ...

Conversica, Inc

Conversation Analyst

Bellingham, WA · On-site

Conversica is looking for an Analyst able to produce in-depth reports that suggest strategic and ... The ideal candidate will collect, monitor and study business data to create custom reports that ...

Reli Group Inc

Power BI Intern

Bellingham, WA · On-site

$15/hr

This is an excellent opportunity for someone looking to gain hands-on experience in data visualization, business analysis, and real-world data problem solving. Responsibilities * Assist in designing ...

Lynden Door, Inc.

Process Analyst

Lynden, WA · On-site

$25 - $48/hr

The Process Analyst supports the organization through data analysis, process development, and systems improvement, with a particular focus on automation and ERP integration. In the first six months ...

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All JobsData Analytics JobsData Analytics Jobs in Bellingham, WA

Data Analytics information

See Bellingham, WA salary details

$25

$56

$98

How much do data analytics jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for data analytics in Bellingham, WA is $56.90, according to ZipRecruiter salary data. Most workers in this role earn between $45.72 and $64.47 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Bellingham, WA?

The most popular types of Data Analytics jobs in Bellingham, WA are:

What job categories do people searching Data Analytics jobs in Bellingham, WA look for?

The top searched job categories for Data Analytics jobs in Bellingham, WA are:

What cities near Bellingham, WA are hiring for Data Analytics jobs?

Cities near Bellingham, WA with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Bellingham, WA as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 86% In-person, and 14% Hybrid job distribution, with an average salary of $118,360 per year, or $56.9 per hour.

Senior Director, Business Analytics & Operations

John Wiley & Sons Inc.

Bellingham, WA • On-site

Other

Posted 3 days ago

New

Job description

Job Description:


We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what's possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what's next to power infinite possibilities for our customers, colleagues and society at large.

About the Role:

Wiley Research is executing a three-year transformation - from its strong publishing foundation through a connected intelligence layer to essential research infrastructure. The Business Management & Strategic Programs (BMSP) team is the connective tissue between the EVP's strategic agenda and the day-to-day work of the Research business. The Director, Business Analytics & Operations is the operating and analytical engine that keeps this ambition on track.

This role combines two critical capabilities: the disciplined operating-rhythm and executive-support functions of a business operations leader, and the data and analytics leadership needed to instrument a growth strategy in a complex and matrixed organization. The Senior Director partners directly with the VP, Business Management & Strategic Programs and the EVP and GM, Research to translate strategic direction into structured execution, and builds the analytical foundation - dashboards, KPI frameworks, pipeline intelligence, financial governance - without which no data-led growth model can scale.

The ideal candidate has operated at the intersection of business operations and data analytics in a large, matrixed organization, has supported P&L-owning senior leaders, and brings the credibility to act as a trusted proxy across functions. This is an execution-oriented role with visibility and consequence.

Job Responsibilities:

1. Business Operations & Executive Operating Rhythm

  • Design and own the operating cadence for the EVP and GM, Research and its Business Management & Strategic Programs team. This will include weekly team meetings, executive meetings, monthly business reviews, and board reporting cycles - ensuring every session is decision-ready and action-tracked.
  • Serve as a senior operating partner and trusted advisor to the VP; act as a credible proxy in cross-functional forums where the VP's perspective needs representation.
  • Drive accountability across the Business Management & Strategic Programs team: maintain a central initiative register, track commitments, surface blockers, and ensure follow-through on strategic workstreams.
  • Lead high-priority special projects on behalf of the VP, including those involving operating model design, crossfunctional alignment, and transformation sequencing.
  • Prepare and quality-control executive-facing materials - board deck inputs, Research Leadership Team briefings, and EVP talking points - owning the narrative architecture that keeps the team's communications coherent across audiences.

2. Business Analytics & Performance Intelligence

  • Stand up and own the Business Analytics function for the Business Management & Strategic Programs team - the data infrastructure the four strategic bets depend on to scale.
  • Define, instrument, and maintain the core KPI set across the four strategic bets and enabling tracks; replace retrospective QBR reporting with a forward-looking pipeline accountability mechanism.
  • Build integrated executive dashboards combining pipeline, revenue, commercial signals, and operational performance data; ensure senior leaders have decision-ready visibility at all times.
  • Apply advanced analytical tools and techniques to complex business questions - modeling revenue scenarios, identifying behavioral signals, and quantifying the impact of strategic choices with clarity and speed.
  • Partner with Technology & Operations and AI & Data Analytics teams to ensure data quality, governance, and infrastructure are fit for purpose; influence roadmap decisions where gaps exist.
  • Leverage AI-augmented approaches to drive efficiency in analytics and reporting workflows - reducing preparation time, improving data integrity, and enabling faster leadership decisions.

3. Cross-Functional Program Leadership

  • Lead a defined portfolio of cross-functional programs where the Business Management & Strategic Programs team provides connective tissue - defining scope, assembling working teams, tracking milestones, and surfacing blockers.
  • Interface with Technology & Operations, AI & Data Analytics, Legal, and Finance on behalf of the VP and EVP/GM - aligning resources, resolving dependencies, and ensuring delivery visibility without duplicating existing PMO ownership.
  • Coach Research leadership team members and their direct teams through operating model shifts, new governance structures, and strategic pivots as directed.
  • Support the clean transition of successfully validated initiatives into their permanent organizational home, with full documentation and handoff.

Job Requirements:

  • 10+ years of progressive experience in business operations, analytics, strategy, or a combination - ideally including a senior executive-support or business management role in a large, matrixed organization.
  • Demonstrated track record supporting P&L-owning or senior executive leaders: owning operating rhythms, crossfunctional alignment, and executive communication.
  • Strong analytical depth - comfortable building financial models, dashboards, and KPI frameworks; able to translate complex data into clear, decision-ready insights.
  • Proven ability to build and instrument an analytics function from a limited foundation, including defining data standards and influencing data engineering teams.
  • Exceptional written and verbal communication skills; demonstrated ability to prepare board-level materials, ghostwrite for senior executives, and adapt narrative for diverse audiences.
  • High tolerance for ambiguity; bias for action; ability to drive structured execution without a defined playbook.
  • Experience managing complex, multi-workstream programs across functions not directly managed.

Preferred:

  • Prior experience at a global technology or comparable professional services organization with a sophisticated business management function.
  • Familiarity with academic publishing, research technology, open access models, or scientific information - or a rapid ability to develop credibility in a new domain.
  • Experience leveraging AI tools to drive efficiency in operations, analytics, and reporting workflows.
  • MBA or equivalent advanced degree, or commensurate professional experience.
  • Track record working across time zones and cultures in a global organization.

We power infinite possibilities.


For more than 200 years, we've transformed knowledge into discoveries that shape the world. Today, our global team of innovators, creators, and experts is driving what's next in science, education, and publishing-creating impact that reaches everywhere.

We're not just observers of progress. We're the ones accelerating scientific breakthroughs, advancing learning, and sparking innovation that redefines entire fields and improves lives.


Here, your talent matters. Your ideas have room to grow. And your work creates breakthroughs that can change everything.
Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact tasupport@wiley.com for assistance.


We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We offer meeting-free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow.
We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The range below represents Wiley's good faith and reasonable estimate of the base pay for this role at the time of posting roles in the United Kingdom, Canada, USA, Austria, Czechia, Denmark, France, Greece, Italy, Netherlands, Romania, or Spain. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies.
When applying, please attach your resume/CV to be considered.

Salary Range:

176,700.00 USD to 258,966.66 USD #LI

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