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Senior Manager Data Analytics Jobs in Bothell, WA

Microsoft

Senior Manager - Data Analytics

Redmond, WA · On-site

As Senior Manager - Data Analytics on the ARC team, you will operate at the intersection of data analytics, audit context, and business intuition. You will analyze large, fragmented datasets to ...

Hasbro

Manager, Data Analytics

Renton, WA · On-site

We're looking for a Manager, Data Analytics to lead our analytics team and drive data-informed ... Partner with senior stakeholders to understand business needs and translate them into analytical ...

Hasbro

Manager, Data Analytics

Renton, WA

We're looking for a Manager, Data Analytics to lead our analytics team and drive data-informed ... Partner with senior stakeholders to understand business needs and translate them into analytical ...

Walmart

(USA) Manager, Data Analytics

Bellevue, WA · On-site

$96K - $186K/yr

The (USA) Manager, Data Analytics leads the development and implementation of compliance reporting strategies and advanced data solutions to support business objectives. This role oversees cross ...

Liberty Mutual

Senior Data Analytics Engineer

Seattle, WA

$120K - $163K/yr

Possess proven experience managing analytics or data projects and coordinating cross-functional workstreams, with demonstrated ability to deliver on time and communicate progress to varied audiences.

Boeing

Data Analytics Lead

Seattle, WA · On-site

Experience in managing relationships with business leaders and executives, leading complex ... Experience working with cross-functional stakeholders and senior leadership * Advanced proficiency ...

Hasbro

Data Analytics Manager

Renton, WA · On-site

Cultivate - Lead a team of 3-5 other data analysts, identifying opportunities for your team to shine and grow. Identify opportunities for new projects, using existing tools in new ways, using ...

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Senior Manager Data Analytics information

See Bothell, WA salary details

$50.3K

$128K

$188.4K

How much do senior manager data analytics jobs pay per year?

As of Jul 9, 2026, the average yearly pay for senior manager data analytics in Bothell, WA is $127,967.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $150,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior Manager Data Analytics, you need advanced expertise in data analysis, statistical modeling, and business intelligence, typically supported by a degree in a quantitative field and several years of analytics experience. Proficiency with analytics tools such as SQL, Python, R, and platforms like Tableau or Power BI, as well as experience with data warehousing systems, is essential. Strong leadership, strategic thinking, and communication skills enable you to guide teams and translate complex findings into actionable business insights. These competencies are crucial for driving data-informed decision-making and maximizing organizational value from analytics initiatives.

What does a Senior Manager Data Analytics do?

A Senior Manager Data Analytics leads teams that analyze large sets of data to help organizations make informed business decisions. They develop analytics strategies, oversee data projects, and ensure the quality and integrity of data-driven insights. This role often involves collaborating with other departments, mentoring analysts, and presenting key findings to senior leadership. Senior Managers in this field need strong technical skills, leadership abilities, and business acumen to drive impactful results.

How does a Senior Manager of Data Analytics typically collaborate with cross-functional teams within an organization?

Senior Managers of Data Analytics frequently work alongside cross-functional teams such as IT, product development, marketing, and finance to ensure that data-driven insights align with business objectives. They are responsible for translating complex analytical findings into actionable recommendations and communicating these insights clearly to both technical and non-technical stakeholders. Regular collaboration often involves leading meetings, setting project priorities, and ensuring data initiatives are integrated smoothly with ongoing business strategies. This collaborative environment fosters innovation and helps drive organizational growth.

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

AspectSenior Manager Data AnalyticsData Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; extensive experienceBachelor's degree in related field; entry to mid-level experience
Work EnvironmentLeadership roles, strategic planning, team managementData collection, analysis, reporting
Employer & Industry UsageCorporate, finance, healthcare, tech companiesVarious industries, including marketing, finance, tech
Common Search & ComparisonOften compared for leadership and strategic rolesCompared for technical and analytical skills

The main difference between Senior Manager Data Analytics and Data Analyst lies in their responsibilities and experience level. Senior Managers focus on strategic oversight, team leadership, and decision-making, while Data Analysts handle data collection, analysis, and reporting at a more technical level. Senior Managers typically have more experience and credentials, working in leadership roles within organizations across various industries.

What are popular job titles related to Senior Manager Data Analytics jobs in Bothell, WA? For Senior Manager Data Analytics jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Senior Manager Data Analytics jobs in Bothell, WA look for? The top searched job categories for Senior Manager Data Analytics jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Senior Manager Data Analytics jobs? Cities near Bothell, WA with the most Senior Manager Data Analytics job openings:
Senior Manager Data Analytics jobs near you
Senior Manager - Data Analytics

Senior Manager - Data Analytics

Microsoft

Redmond, WA • On-site

Full-time

Posted 8 days ago

Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

55th of 205 rated software companies

Job description

Overview
Microsoft's Audit, Risk and Compliance (ARC) organization is building a data-driven capability to complement traditional assurance work. This role is focused on proactive discovery: identifying emerging risks, "soft" signals, and systemic patterns by connecting data across organizational seams that complements traditional audit coverage models.
As Senior Manager - Data Analytics on the ARC team, you will operate at the intersection of data analytics, audit context, and business intuition. You will analyze large, fragmented datasets to surface insights that are not readily visible - translating raw signals from audit findings, ethics and compliance data, investigation outcomes, and management actions into forward-looking risk intelligence.
This is not a traditional audit, reporting, or business intelligence role. This Senior Manager - Data Analytics role is designed to help ARC answer the question: "Where should we be looking that we aren't today?" Success will depend as much on curiosity, contextual judgment, and speed of iteration as on technical skill.
Responsibilities
  • Analyze large and diverse datasets across ARC - including audit findings, ethics and compliance signals, investigation data, and management action items - to uncover risk signals and patterns not visible through standard coverage approaches.
  • Develop and test analytical hypotheses in a rapid, experimental model; iterate on approaches across weeks rather than quarters and document learnings from both successful and unsuccessful analyses.
  • Connect disparate data sources across organizational boundaries to surface systemic risks, emerging trends, and areas that warrant proactive audit attention.
  • Apply a "red team" lens to ARC's risk landscape: scan broadly across data, generate new hypotheses about where risk may be concentrating, and present findings that challenge existing assumptions.
  • Determine appropriate analytical and statistical techniques to address audit and risk research questions; execute analyses and interpret results with clear, actionable recommendations.
  • Build and maintain reusable analytical frameworks, models, and self-service reporting solutions that improve ARC's ongoing visibility into enterprise risk.
  • Evaluate data quality, integrity, and fitness-for-purpose prior to analysis; independently address or escalate data issues in partnership with Data Engineering and other teams.
  • Translate analytical findings into clear risk narratives - presenting insights through dashboards, visualizations, reports, and talking points tailored to audit, compliance, and leadership audiences.
  • Share and simplify complex analyses into accessible summaries that enable decision-makers to act on data-driven recommendations quickly.
  • Work within and across teams - including audit leads, investigation teams, compliance operations, and data engineering - to align data sources, methodologies, analytical tools, and business priorities.
  • Support and advise on the design of formal experiments or analytical frameworks to evaluate the impact of new audit approaches, risk controls, or operational changes.
  • Adhere to Microsoft's data privacy and security requirements, responsible AI practices, and classification and governance standards throughout all analytical work.
  • Embody Microsoft's culture and values, modeling a growth mindset, curiosity, and a commitment to inclusion.

Qualifications
Required/minimum qualifications
  • Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience.

Additional or preferred qualifications
  • Exposure to audit, risk management, internal controls, compliance operations, ethics and compliance programs, or financial operations - through prior roles, internships, or coursework.
  • Experience with Python, R, or another scripting/statistical language for analysis, data wrangling, or automation.
  • Experience building dashboards, visualizations, or self-service reporting tools (e.g., Power BI, Tableau, or equivalent).
  • Familiarity with large-scale data platforms or cloud environments (e.g., Azure Synapse, Databricks, Azure Data Lake, or equivalent).
  • Experience identifying patterns or signals in unstructured or cross-domain data; comfort with exploratory data analysis without predefined hypotheses.
  • 1+ year(s) of hands-on experience in data analytics, business intelligence, data science, or a related field - including experience analyzing datasets to answer business or research questions.
  • Proficiency in SQL or equivalent data querying language for extracting, joining, and transforming data from structured sources.
  • Demonstrated ability to interpret analytical outputs and translate findings into clear, audience-appropriate summaries or recommendations.

Data Analytics IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

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Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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