About The Position

Reporting to the Director of Sales Enablement, the Sales & AI Data Analyst is a strategic analytics partner who turns sales data, market intelligence, and AI capabilities into actionable insights for the field sales organization. The role combines traditional sales analysis—including forecasting, territory planning, and compensation modeling—with predictive AI and machine learning workflows, such as Salesforce Agentforce, to streamline sales processes, reduce field friction, and support predictive revenue growth. The analyst works across Sales Leadership, Sales Operations, Marketing, IT, and Finance. The role produces insights and reporting, supports sales planning and compensation, collaborates on predictive analytics and automation, and promotes accurate CRM data and reporting practices. Travel is 15%.

Requirements

  • Bachelor’s degree or equivalent related work experience.
  • High school diploma or GED.
  • 3–5+ years of professional experience in Sales Analytics, Business Intelligence, Revenue Operations, or Data Science.
  • Deep expertise in Salesforce/Sales Cloud reporting, dashboards, data architecture, and CRM metrics.
  • Advanced hands-on proficiency with business intelligence tools such as Tableau or Salesforce CRM Analytics.
  • Expert-level skills in Excel or Google Sheets, SQL, and statistical data modeling for sales forecasting and compensation scenarios.
  • Ability to translate complex datasets into clear, simplified visual stories and actionable recommendations for non-technical stakeholders.
  • A listen-first mindset and willingness to understand field friction before building analytical solutions.
  • Ability to manage complex long-term projects alongside fast-turnaround ad hoc field requests.

Nice To Haves

  • Experience in a B2B manufacturing, building materials, or distribution environment.
  • Hands-on experience or familiarity with predictive modeling, prompt engineering, generative AI tools, or Salesforce AI applications such as Agentforce or Einstein Analytics.
  • Familiarity with Python/R or data transformation tools such as Alteryx or Snowflake.
  • Experience supporting multi-tiered sales structures, including manufacturers selling through contractor, distributor, or trade channels.

Responsibilities

  • Convert lead, pipeline, and customer usage data into actionable insights for Sales and Sales leadership.
  • Analyze pipeline velocity, historical conversion rates, and market trends to inform demand planning and revenue forecasting.
  • Develop data models supporting Area and Regional Sales Planning, quota setting, and Sales Compensation Planning.
  • Design, maintain, and deliver ad hoc customer, contractor, and trade partner performance reporting for executive and field leadership.
  • Partner with IT to use AI tools, including Salesforce AI/Agentforce and predictive analytics models, to improve lead scoring, churn prediction, and opportunity prioritization.
  • Identify manual reporting bottlenecks and automate data pipelines to maximize frontline team members’ selling time.
  • Translate data trends, including tool usage, program adoption, and skill gaps, into targeted enablement interventions and sales playbooks.
  • Establish monitoring metrics for data quality, accurate CRM inputs, and consistent reporting hygiene across sales territories.
  • Serve as the primary analytical liaison among Sales Leadership, Sales Operations, Marketing, IT, and Finance.

Benefits

  • Medical, dental, and vision insurance options for employees and their families.
  • Family-building benefits supporting fertility and parenthood.
  • 401(k) plan with employer match on pre-tax and/or Roth contributions.
  • Wellness program.
  • Free financial coaching.
  • Referral program.
  • Product rebates on purchases for an employee’s primary residence.
  • Internal training programs and courses.
  • Tuition reimbursement.
  • Employee Resource Groups.
  • Vacation packages for full-time permanent positions.
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