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Analytics GGS Senior Analyst

Job in Seattle, King County, Washington, 98127, USA
Listing for: Leadout Capital
Full Time position
Listed on 2026-10-12
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Science Manager, Business Intelligence
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below

We are seeking a highly technical and detail-oriented Sr. Analyst, Demand Generation Analytics to serve as the primary hands-on executor for digital demand generation reporting and analysis across multiple Salesforce products and lines of business. This role spans website, email, paid media, account-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 always-on reporting, dashboards, and ad-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, always-on reporting. They will partner cross-functionally between business function leaders, other analysts, data science, and data engineering groups to get their work done.

Key Responsibilities Always-On Reporting & Dashboarding
  • Dashboard Build & Maintenance:
    Design, build, and maintain Tableau dashboards and always-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.
Ad-Hoc & Diagnostic Analysis
  • Ad-Hoc Analysis:
    Perform ad-hoc, deep-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.
Cross-Functional Execution
  • Cross-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 Competencies Experience & 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 ad-hoc analysis under time pressure and communicating findings clearly.
Communication & Collaboration
  • Strong written and verbal communication skills, particularly for explaining technical/data findings to non-technical partners.
  • Effective collaborator who can work cross-functionally with analysts, data science, and data engineering teams to get work done.
  • Detail-oriented and reliable - comfortable owning always-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.
Position Requirements
10+ Years work experience
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