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Data Analytics Manager Jobs in Renton, WA (NOW HIRING)

You will partner internally with our Core Integration Base Data Architects, Infrastructure Team, Project Managers, and Compliance Team to enable the delivery of world class Analytics solutions across ...

If you enjoy combining data, strategy, and systems thinking to influence real business outcomes ... analytics * Manage off-cycle compensation adjustments, market reviews, and new hire band alignment

Prior experience in data analysis techniques and tools is required * 2+ years of experience ... Project Management: Has a proven track record of driving and motivating cross-functional team ...

Technical Architect - Data, Analytics & AI

Kent, WA · Hybrid

$72 - $92.50/hr

Define and maintain technical standards for enterprise data management, analytics platforms, and AI enablement capabilities. * Design and guide datacentric and AIenabled initiatives , supporting the ...

Data Analytics Cloud Architect

Seattle, WA · On-site

$72.50 - $93.25/hr

Data Analytics Cloud Architect Location: Seattle, WA / St. Louis, MO / Plano, TX / Dallas, TX / ... Experience with data cataloging, lineage and metadata management tools * Well-versed with the ...

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Data Analytics Manager information

See Renton, WA salary details

$34.9K

$109.3K

$193.5K

How much do data analytics manager jobs pay per year?

As of May 28, 2026, the average yearly pay for data analytics manager in Renton, WA is $109,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,200.00 and $141,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analytics Manager, and why are they important?

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

How do Data Analytics Managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

What does a Data Analytics Manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

What is the difference between Data Analytics Manager vs Data Analyst?

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What are the most commonly searched types of Data Analytics jobs in Renton, WA? The most popular types of Data Analytics jobs in Renton, WA are:
What are popular job titles related to Data Analytics Manager jobs in Renton, WA? For Data Analytics Manager jobs in Renton, WA, the most frequently searched job titles are:
What job categories do people searching Data Analytics Manager jobs in Renton, WA look for? The top searched job categories for Data Analytics Manager jobs in Renton, WA are:
What cities near Renton, WA are hiring for Data Analytics Manager jobs? Cities near Renton, WA with the most Data Analytics Manager job openings:
Finance Analytics Manager

Finance Analytics Manager

Boeing

Tukwila, WA • On-site

Full-time

Medical, Life, Retirement

This job post has expired today. Applications are no longer accepted.


Boeing rating

8.5

Company rating: 8.5 out of 10

Based on 582 frontline employees who took The Breakroom Quiz

34th of 511 rated manufacturers


Job description

Finance Analytics Manager
Company:
The Boeing Company
The Boeing Company is currently seeking a Finance Analytics Manager to join the Finance Systems and Analytics (FS&A) team in Tukwila, WA.
As a First Line Manager, you will be a member of Boeing's Finance Analytics team within FS&A driving innovation in the Finance function. You will lead a diverse multi-skilled team performing the full spectrum of the Finance Analytics tech stack including Data Science, Data Engineering, Business Intelligence (BI) Engineering, Reporting & Automation. You will partner internally with our Core Integration Base Data Architects, Infrastructure Team, Project Managers, and Compliance Team to enable the delivery of world class Analytics solutions across Finance.
Position Responsibilities:
  • Lead as a people-first technical manager who cultivates talent through coaching, mentorship, and career development while delivering technical excellence and consistently exemplifying Boeing's Values and Behaviors
  • Manage, grow, and develop the team by focusing on culture, communication, technical excellence, and career development
  • Provide vision, oversight and approval of technical approaches, products and processes
  • Develop and maintain relationships and partnerships with customers, stakeholders, peers, partners and direct reports
  • Develop and execute business and technical strategies and goals
  • Manage a multi-skilled team of analytics professionals focused on the creation of key business enablers which span all facets of analytics including Artificial Intelligence (AI)
  • Support Finance Analytics strategy and roadmap, lead the design and execution of the roadmap's vision and goals
  • Support the technical strategy and governance integrating industry trends and best practice with the Boeing business model
  • Ensure organizational success through the usage of project management best practices, sound technical approaches and governance, security and compliance, and operational stability and maturity
  • Work effectively in collaborative analytics environments using modern analytics practices (code reviews, feature branches, agile delivery) and provide technical leadership across cross-functional teams

Basic Qualifications (Required Skills/Experience):
  • Bachelor's Degree in a quantitative field (e.g. statistics, operations research, information systems, bioinformatics, economics, computational biology, computer science, mathematics, physics, chemistry or similar quantitative fields)
  • 5+ years of experience in a leadership role (i.e., manager, project manager, team lead, etc.)
  • 1+ years of experience in SQL/T-SQL
  • 1+ years of experience in programming experience in data analysis languages (R and/or Python)
  • Experience with good communication skills to work with both technical and non-technical audiences
  • Experience working with cross-functional or cross-organizational teams to develop and implement plans, schedules, or solutions
  • Experience and/or exposure to artificial intelligence and machine learning

Preferred Qualifications (Desired Skills/Experience):
  • Master's degree or higher in a technical discipline or equivalent advanced experience
  • Experience in a formal management role in a technical field
  • Experience working in technology, manufacturing, or business analytics
  • Experience working in a role that develops Data Science solutions as part of a cross-functional team that includes Data Engineers, Product Owners, and Business Intelligence Analysts
  • Experience with infrastructure such as code, automation tools and Continuous Integration and Continuous Delivery (CI/CD) for data infrastructure
  • Experience with security, privacy, and governance for sensitive financial data, including access controls, encryption, and SOX/compliance requirements
  • Experience optimizing cost and performance for cloud data environments
  • Experience in Finance domain (Earned Value Management (EVM), accounting, treasury, reconciliation, payments, FP&A) or working closely with Finance Subject Matter Experts (SMEs)
  • Ability to mentor and provide technical leadership across cross-functional teams

Conflict of Interest:
Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.
Drug Free Workplace:
Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.
Pay & Benefits:
At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.
Pay is based upon candidate experience and qualifications, as well as market and business considerations.
Summary pay range: $128,350 - $173,650
Language Requirements:
Not Applicable
Education:
Bachelor's Degree or Equivalent
Relocation:
Relocation assistance is not a negotiable benefit for this position.
Export Control Requirement:
This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.
Safety Sensitive:
This is not a Safety Sensitive Position.
Security Clearance:
This position does not require a Security Clearance.
Visa Sponsorship:
Employer will not sponsor applicants for employment visa status.
Contingent Upon Award Program
This position is not contingent upon program award
Shift:
Shift 1 (United States of America)
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Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
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