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Senior Manager Data Analytics Jobs in Bothell, WA

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.

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 ...

Data Analytics Manager

Renton, WA · On-site

$125K - $188K/yr

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 ...

Your Impact Axon seeking a well-versed Data Analytics Engineer with expertise in SQL Server Management Studio (SSMS), Power BI, and/or SSRS to support and enhance analytics for Axon software ...

Your Impact Axon seeking a well-versed Data Analytics Engineer with expertise in SQL Server Management Studio (SSMS), Power BI, and/or SSRS to support and enhance analytics for Axon software ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

The manager serves as a bridge between data engineering, analytics, and business stakeholders to ensure timely, high-quality data delivery for operational and strategic needs. Education & Experience ...

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Showing results 1-20

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 13, 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 Data Analytics Engineer

Senior Data Analytics Engineer

Liberty Mutual

Seattle, WA • On-site

$106K - $197K/yr

Full-time

Posted 5 days ago


Liberty Mutual rating

8.9

Company rating: 8.9 out of 10

Based on 144 frontline employees who took The Breakroom Quiz

33rd of 281 rated insurance


Job description


Description

If you are passionate about data analytics engineering and want an opportunity to work with the latest technologies, then Modeling Data Solutions has the position for you.

Modeling Data Solutions is seeking experienced data analytics engineers to join its personal lines auto teams. This is an exciting opportunity to join the US Data Science Infrastructure department helping to support creating cutting edge pricing programs. You will play a critical role in designing and developing the data solutions needed for research and development as well as providing front line data support in launching new products into market. You will collaborate with multiple stakeholders including data scientists and product analysts to gather requirements, design, and implement robust data solutions.
**This role may have in-office requirements dependent upon candidate location.**

Responsibilities

  • Lead the development, optimization, and maintenance of scalable data pipelines and ETL processes to support the organization’s analytical needs.
  • Conduct complex data analysis to identify trends, patterns, and insights, identifying issues and changes with the data and communicating solutions to stakeholders.
  • Collaborate with data scientists, analysts, and business stakeholders to understand their data requirements and provide tailored analytics solutions.
  • Implement and enforce data quality and governance standards to ensure data accuracy, reliability, and security.
  • Design and implement robust data models that facilitate data accessibility and efficient querying for analysis and reporting.
  • Utilize python, Snowflake, and SQL queries to build robust data solutions and for profiling data.
  • Stay informed of industry trends, tools, and best practices in data analytics and engineering, and apply this knowledge to enhance the team’s capabilities.
  • Mentor and provide guidance to junior data analytics engineers and analysts, fostering a culture of learning and collaboration.

The ideal candidate will:

  • Have strong hands-on experience with SQL and Python; familiarity with cloud data platforms such as Snowflake and AWS. Experience with dbt or Databricks is a plus.
  • Demonstrate 5+ years of experience in data analysis, product/business analytics, or data engineering.
  • 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.
  • Have practical experience collaborating in Agile teams and applying Agile best practices (sprint planning, refinement, retrospective).
  • Be experienced with data quality practices, monitoring, and validation approaches to ensure reliable inputs for analytics and decision-making.
  • Have excellent communication skills and the ability to work with technical and non-technical stakeholders.

Preferred qualifications:

  • Domain experience in personal lines Auto, Property, or other insurance product areas.
  • Proven experience leading cross-functional analytics projects, including stakeholder management, project scoping, and delivering business outcomes.
Qualifications
  • Strong written and oral communication skills required.
  • Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred.
  • Master`s in same or related disciplines strongly preferred.
  • 5-7+ years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in Python, SQL, ETL, Spark, Snowflake. 
  • 5-7+ years experience as developer with top quadrant Business Intelligence tools.
About Us

Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
Fair Chance Notices

  • California
  • Los Angeles Incorporated
  • Los Angeles Unincorporated
  • Philadelphia
  • San Francisco

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About Liberty Mutual

Sourced by ZipRecruiter

Since 1912, we've grown into the fifth largest global property and casualty insurer based on 2022 gross written premium. We also rank 86 on the Fortune 100 list of largest corporations in the US based on 2022 revenue. ​At Liberty Mutual Insurance we work hard every day to support our customers and our people, so they can protect their families, build their businesses and invest in their futures. We are headquartered in Boston, but our people, our customers and our reach span the globe. So to better serve our global customers and employees, we are organized into three business units.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

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