
Senior Sales Strategy β Analytics Manager
Posted Oct 19

Posted Oct 19
This is a fully remote position, open to applicants in United States.
β’ Establish annual ARR and pipeline generation goals across the organization by utilizing structured assumptions and scenarios.
β’ Take ownership of sales quota determination, headcount and capacity modeling, as well as representative productivity evaluation.
β’ Assist in designing territories and aligning coverage with growth potential.
β’ Define inputs, timelines, and outputs for the planning cycle across various workstreams.
β’ Create and maintain dashboards, scorecards, and KPI reports for sales, SE, and xDR teams.
β’ Identify leading indicators for both risks and opportunities.
β’ Standardize metrics across different regions, channels, and product lines.
β’ Leverage AI to develop scalable tools and enhance workflow efficiencies for GTM teams.
β’ Collaborate with GTM and Finance leaders on performance evaluation and decision-making processes.
β’ Transform complex analyses into clear and defensible recommendations.
β’ Facilitate alignment among stakeholders around a unified narrative.
β’ Establish standards for analytical rigor and quality assurance.
β’ Guide peers and junior analysts in modeling, scenario planning, and executive communication.
β’ Promote automation of reporting and improve data quality.
β’ Report directly to the Director of Sales Strategy & Analytics.
β’ A minimum of 5 years in GTM analytics, sales operations, or a similar role supporting an enterprise, multi-product GTM strategy.
β’ Profound knowledge of GTM strategies, sales planning, territory design, quota determination, and forecasting for sales, SE, and xDR functions.
β’ Proficient in SQL to independently extract, join, and validate data.
β’ Familiarity with Salesforce, Gong, Clari, and comparable B2B commercial tools.
β’ Experience with BI tools such as Tableau, Looker, or Power BI.
β’ Practical experience in utilizing AI for the development of scalable GTM tools and improving workflow efficiencies.
β’ Strong executive communication skills with the ability to distill complex analyses into a single, clear recommendation.
β’ The ability to structure ambiguous challenges and question conventional wisdom when backed by data.
β’ Experience with dbt, Python or R, and data platforms like Snowflake, BigQuery, or Redshift is a plus.
β’ Familiarity with building LLM APIs or AI-assisted analytics tools is also a plus.
β’ Background checks will be conducted.
β’ $200/month LYBL allowance.
β’ Comprehensive health coverage for employees.
β’ 401(k) plan with company matching.
β’ Competitive salary and bonus structure.
β’ Flexible vacation policy (exempt) / accrued vacation (non-exempt).
β’ Paid time off for birthdays and volunteering activities.
β’ Opportunities to join employee resource groups.
β’ Team and company-wide gatherings.
β’ Parental leave benefits.
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