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Senior Manager Data Analytics Jobs in Renton, WA

Analytics GGS Senior Analyst

Seattle, WA ยท On-site

$110 - $150/hr

The Sr. Analyst partners closely with the Sr. Manager, Demand Generation Analytics & Performance ... Data Navigation: Navigate across Google Analytics (in Snowflake), Salesforce CRM objects (Campaigns ...

New

Analytics GGS Senior Analyst

Seattle, WA ยท On-site

$100K - $132K/yr

The Sr. Analyst partners closely with the Sr. Manager, Demand Generation Analytics & Performance ... Data Navigation: Navigate across Google Analytics (in Snowflake), Salesforce CRM objects (Campaigns ...

We are seeking a highly skilled and detail-oriented Senior Data Analyst to join our Human Resources ... Solid experience in HR analytics, with a deep understanding of its impact on talent management and ...

Analytics GGS Senior Analyst

Seattle, WA ยท On-site

$100K - $132K/yr

The Sr. Analyst partners closely with the Sr. Manager, Demand Generation Analytics & Performance ... Data Navigation: Navigate across Google Analytics (in Snowflake), Salesforce CRM objects (Campaigns ...

Senior Data Analyst

Seattle, WA ยท On-site

$97K - $123K/yr

You will technically guide team members in analytics best practices using SQL, Python, modern data ... Strong communication, storytelling, and stakeholder management skills. Preferred Qualifications

Senior Data Analyst

Seattle, WA ยท On-site

$114K - $196K/yr

You will technically guide team members in analytics best practices using SQL, Python, modern data ... Strong communication, storytelling, and stakeholder management skills. Preferred Qualifications

Analytics GGS Senior Analyst

Seattle, WA ยท On-site

$100K - $132K/yr

The Sr. Analyst partners closely with the Sr. Manager, Demand Generation Analytics & Performance ... Data Navigation: Navigate across Google Analytics (in Snowflake), Salesforce CRM objects (Campaigns ...

Perform both geographic and non-geographic data manipulation, data management and analysis, and develop/use automated data management processes using a variety of software environments. * Revise ...

Senior Data Analyst

Seattle, WA ยท On-site

$114K - $196K/yr

You will technically guide team members in analytics best practices using SQL, Python, modern data ... Strong communication, storytelling, and stakeholder management skills. Preferred Qualifications

Perform both geographic and non-geographic data manipulation, data management and analysis, and develop/use automated data management processes using a variety of software environments. * Revise ...

Perform both geographic and non-geographic data manipulation, data management and analysis, and develop/use automated data management processes using a variety of software environments. * Revise ...

Senior Data Analyst, People Analytics

Seattle, WA ยท On-site

$97K - $123K/yr

The Opportunity with McKinstry We are seeking a skilled People Analytics Sr. Data Analyst to ... Ability to manage sensitive employee data with discretion and attention to privacy and governance ...

Senior Product Manager - Data Products

Seattle, WA ยท On-site

$144K - $190K/yr

GEICO is seeking an accomplished, data-driven, and results-oriented Senior Product Manager for our ... Conduct market research, competitive analysis, and stakeholder interviews to gather insights and ...

Showing results 41-60

Senior Manager Data Analytics information

See Renton, WA salary details

$50.6K

$128.8K

$189.5K

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

As of Aug 21, 2026, the average yearly pay for senior manager data analytics in Renton, WA is $128,761.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,200.00 and $151,900.00 per year, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as a senior manager data analytics?

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.

How does a senior manager 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 Renton, WA?

For Senior Manager Data Analytics jobs in Renton, WA, the most frequently searched job titles are:

What job categories do people searching Senior Manager Data Analytics jobs in Renton, WA look for?

The top searched job categories for Senior Manager Data Analytics jobs in Renton, WA are:

What cities near Renton, WA are hiring for Senior Manager Data Analytics jobs?

Cities near Renton, WA with the most Senior Manager Data Analytics job openings:

Infographic showing various Senior Manager Data Analytics job openings in Renton, WA as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $128,761 per year, or $61.9 per hour.

Analytics GGS Senior Analyst

Socket.dev

Seattle, WA โ€ข On-site

$110 - $150/hr

Other

Posted 3 days ago

New


Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Operations

Job DetailsAbout Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isnโ€™t a buzzword - itโ€™s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? Youโ€™re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

We are seeking a highly technical and detail-oriented Sr. Analyst, Demand Generation Analytics to serve as the primary handsโ€‘on executor for digital demand generation reporting and analysis across multiple Salesforce products and lines of business. This role spans website, email, paid media, accountโ€‘based marketing (ABM), and other program-driven demand gen initiatives. The Sr. Analyst partners closely with the Sr. Manager, Demand Generation Analytics & Performance and reports directly to the hiring manager, building and maintaining the alwaysโ€‘on reporting, dashboards, and adโ€‘hoc analysis that power the team's KPIs and diagnostic/leading indicators.

This individual is the builder: extremely proficient in SQL and highly fluent in Tableau, comfortable navigating complex data sources independently to answer questions quickly and maintain reliable, alwaysโ€‘on reporting. They will partner crossโ€‘functionally between business function leaders, other analysts, data science, and data engineering groups to get their work done.

Key ResponsibilitiesAlwaysโ€‘On Reporting & Dashboarding
  • Dashboard Build & Maintenance: Design, build, and maintain Tableau dashboards and alwaysโ€‘on reporting for demand gen KPIs, diagnostic metrics, and leading indicators.

  • Reporting Reliability: Ensure reporting stays accurate and current, proactively catching and resolving data issues or anomalies.

  • Execution Partnership: Serve as the primary builder in partnership with the Sr. Manager - translating measurement frameworks and KPI definitions into working dashboards and reports.

Adโ€‘Hoc & Diagnostic Analysis
  • Adโ€‘Hoc Analysis: Perform adโ€‘hoc, deepโ€‘dive analysis on demand gen performance questions as they come up, using SQL to independently query and join across data sources.

  • Leading Indicator Tracking: Identify and monitor diagnostic/leading indicators that help flag performance shifts before they show up in lagging KPIs.

  • Data Navigation: Navigate across Google Analytics (in Snowflake), Salesforce CRM objects (Campaigns, Leads, Contacts, Accounts, Opportunities), and paid media platform data to pull, join, and validate data for reporting and analysis.

Crossโ€‘Functional Execution
  • Crossโ€‘Team Collaboration: Partner with other analysts, data science, and data engineering teams to source data, resolve data quality issues, and align on reporting logic.

  • Technical Translation: Work with the Sr. Manager to turn metric and measurement designs into concrete queries, data models, and dashboard specs.

Candidate Requirements and CompetenciesExperience & Technical Skills
  • 3+ years of experience in Marketing/Demand Gen Analytics, Business Intelligence, or a highly quantitative field, ideally in B2B SaaS or technology.

  • Strong proficiency in SQL - able to independently write complex queries and joins across large data sets (Snowflake or similar cloud data warehouse).

  • Highly proficient in Tableau - able to build and maintain dashboards from scratch, not just modify existing ones.

  • Familiarity with digital marketing data sources: Google Analytics/website reporting data, Salesforce CRM objects (Campaign, Lead, Contact, Account, Opportunity), and paid media platform data.

  • Comfortable performing adโ€‘hoc analysis under time pressure and communicating findings clearly.

Communication & Collaboration
  • Strong written and verbal communication skills, particularly for explaining technical/data findings to nonโ€‘technical partners.

  • Effective collaborator who can work crossโ€‘functionally with analysts, data science, and data engineering teams to get work done.

  • Detailโ€‘oriented and reliable - comfortable owning alwaysโ€‘on reporting that others depend on.

Preferred Qualifications
  • Working knowledge of additional analytical languages/tools such as Python, R, or dbt.

  • Exposure to demand gen or digital marketing channels (email, paid, web, ABM) - helpful for context, though deep strategic experience is not required.

  • Experience partnering with data engineering or data science teams on data quality or pipeline issues.

Unleash Your Potential

When you join Salesforce, youโ€™ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, weโ€™ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidatesโ€™ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of nonโ€‘discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace thatโ€™s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications โ€“ without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees,

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