Analytics GGS Senior Analyst

Leadout Capital; Seattle (WA); On-site; USD 90,000 - 130,000; Full time

Job summary

Leadout Capital is seeking a highly technical Sr. Analyst, Demand Generation Analytics to execute on digital demand generation reporting and analysis across Salesforce products and multiple lines of business.

You will own the always-on reporting, dashboards, and ad-hoc analysis powering KPI diagnostics and leading indicators. You will navigate data sources across Google Analytics (Snowflake), Salesforce CRM objects, and paid media data to produce reliable insights, partnering with data science

Qualifications

• 3+ years of experience in Marketing/Demand Gen Analytics or a quantitatively focused role.
• Strong proficiency in SQL and Tableau to build complex dashboards.
• Experience with Snowflake or similar cloud data warehouse.
• Familiarity with Google Analytics and Salesforce CRM objects.
• Ability to perform ad-hoc analysis under time pressure and clearly communicate findings.

Responsibilities

• Design, build, and maintain Tableau dashboards and always-on reporting for demand gen KPIs and leading indicators.
• Ensure reporting accuracy and proactively resolve data issues.
• Translate measurement designs into concrete dashboards and reports in partnership with leadership.

Skills

SQL

Tableau

Snowflake

Google Analytics

Salesforce

Ad-hoc analysis

Data storytelling

Tools

dbt

Python

R

Job 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 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.