Learntastic

Sales Data Analyst

Remote
Full Time
Mid Level

Job Overview:

We are seeking a detail-oriented and analytical Sales Data Analyst to join our team. The ideal candidate will transform raw sales data into actionable insights that help drive revenue, improve sales strategies, and support business growth. You will collaborate closely with sales, marketing, finance, and operations to deliver meaningful reports and strategic recommendations.

Location: Remote

Key Responsibilities:

  • Analyze sales performance metrics and develop regular dashboards and reports (e.g., pipeline health, conversion rates, revenue trends)

  • Build and manage forecasting models to support revenue planning

  • Track KPIs and targets across teams, regions, or product lines, and highlight variances

  • Identify sales trends, customer behavior patterns, and opportunities for upselling/cross-selling

  • Automate data processes and reporting workflows using tools like Excel, Power BI, Tableau, or SQL

  • Support the sales team with territory planning, quota allocation, and incentive tracking

  • Work cross-functionally to integrate data from CRM (e.g., Salesforce/HubSpot), marketing platforms, and ERP systems

  • Present findings and recommendations to stakeholders and leadership to influence data-driven decisions

Required Skills & Qualifications:

  • Bachelor’s degree in Business, Statistics, Economics, Data Science, or a related field

  • 2–5 years of experience in sales analytics, business intelligence, or data analysis

  • Proficiency in Excel (VLOOKUP, Pivot Tables, advanced formulas) and data visualization tools (Power BI, Tableau, etc.)

  • Strong knowledge of SQL and experience with CRM platforms like Salesforce

  • Excellent problem-solving skills, attention to detail, and business acumen

  • Ability to translate complex data into simple insights and communicate effectively with non-technical stakeholders

Preferred Qualifications:

  • Experience working in a fast-paced, high-growth environment

  • Familiarity with sales compensation design and performance tracking

  • Knowledge of Python/R is a plus

  • Experience in SaaS, EdTech, or B2B industries

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