About The Position

Position Summary... What you'll do... What you’ll do: We are looking for a motivated Manager to join the Data Ventures Revenue Operations team. In this role, you will deliver reporting and insights that improve revenue generation and ensure commercial strategy and decision-making are data-driven and aligned to Data Ventures’ growth goals. You will work across the customer lifecycle including new business, account management, and renewal functions, partnering closely with BD/AM leaders and cross-functional teams to turn data into decisions and actions. This role reports to the Senior Manager of Sales Strategy & Enablement. You’ll make an impact by…Analyzing weekly sales pipeline snapshots and CRM activity/change logs to identify week-over-week trends (adds, slips, drops, stage conversion) that support forecasting and monitoring pipeline health. Building and maintaining revenue models to support planning, scenario analysis, and performance monitoring using historical pipeline and commercial performance data. Developing supplier segmentation frameworks and analytics (using Scintilla/PSI and other internal datasets) to prioritize opportunities and tailor sales motions by segment. Partnering with Data Science and Data Foundations teams to enable predictive analytics inputs and translate “signals” into clear, repeatable recommendations the field can act on. Creating data visualizations and concise business narratives that answer what changed, why it matters, and what we should do next. Supporting annual planning and quota-setting processes with analytical inputs, validation, and documentation. Executing ad-hoc analyses and delivering actionable recommendations to solve complex business questions.

Requirements

  • Option 1: Bachelor's degree in business, marketing, communication, digital media/advertising, or related area and 2 years' experience in campaign management, business development, market development, or related area.
  • Option 2: 4 years' experience in campaign management, business development, market development, or related area.

Nice To Haves

  • Experience in Revenue Operations, Sales Strategy, Sales Operations, Consulting, Business Analytics, FP&A, CPG/retail analytics, merchandising analytics, or related analytical roles supporting go-to-market teams.
  • Ability to write SQL to extract and analyze sales pipeline data (e.g., weekly snapshot trend analysis, pipeline movement, stage conversion, forecast inputs).
  • Advanced Excel skills (modeling, scenario analysis, forecasting, data hygiene).
  • Experience building segmentation frameworks and translating supplier/customer data into tailored go-to-market recommendations.
  • Familiarity with Walmart’s business model, supplier ecosystem, and retail data marketplace dynamics.
  • Comfort in modern data environments and BI tools (e.g., BigQuery or similar warehouses; Tableau/Looker/Power BI).
  • Proven ability to translate complex analysis into clear insights and recommendations that drive action and business outcomes.
  • Strong project management skills with the ability to independently lead workstreams end-to-end in a cross-functional environment.
  • Growth mindset, resiliency, and comfort operating in a dynamic, highly collaborative environment.

Responsibilities

  • Analyzing weekly sales pipeline snapshots and CRM activity/change logs to identify week-over-week trends (adds, slips, drops, stage conversion) that support forecasting and monitoring pipeline health.
  • Building and maintaining revenue models to support planning, scenario analysis, and performance monitoring using historical pipeline and commercial performance data.
  • Developing supplier segmentation frameworks and analytics (using Scintilla/PSI and other internal datasets) to prioritize opportunities and tailor sales motions by segment.
  • Partnering with Data Science and Data Foundations teams to enable predictive analytics inputs and translate “signals” into clear, repeatable recommendations the field can act on.
  • Creating data visualizations and concise business narratives that answer what changed, why it matters, and what we should do next.
  • Supporting annual planning and quota-setting processes with analytical inputs, validation, and documentation.
  • Executing ad-hoc analyses and delivering actionable recommendations to solve complex business questions.
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