Analytics GGS Senior Analyst

Tableau Software

  • Seattle, WA
  • 6 days ago

    Highlights

    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 teams KPIs and diagnostic/leading indicators. • 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.

    Numbers & Facts

    LocationSeattle, WA

    Description

    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 teams 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.

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