Sales and Market Intelligence Analyst
Clements Fluids · Texas, United States · 4 mo ago
RemoteRemoteEducationFull-time
Role Responsibilities
- Analyze sales, customer, and operational datasets to uncover trends, opportunities, and risks impacting revenue and profitability.
- Ensure data accuracy and consistency across CRM, ERP, and operational reporting systems.
- Develop dashboards and visualizations to support sales performance tracking, territory management, and pipeline visibility.
- Apply statistical methods and modeling to identify patterns in customer demand, product usage, and market activity.
- Present insights and recommendations to sales leadership and cross-functional teams.
Build Sales Forecasting and Predictive Models
- Develop forecasting models to support revenue planning, demand forecasting, and capacity planning.
- Use predictive analytics to identify growth opportunities, customer churn risks, and product demand trends.
- Maintain documentation and governance of analytical models and assumptions.
- Partner with finance and operations to ensure alignment between sales forecasts and operational capabilities.
Provide Market, Customer, and Competitive Intelligence
- Conduct market and competitor analysis to identify strategic opportunities in key basins and customer segments.
- Analyze customer buying patterns, service requirements, and operational data to support account strategies.
- Translate data into actionable insights for sales leadership and account managers.
- Support the development of value propositions and customer-specific strategies using data.
Support Strategic Sales Initiatives and Cross-Functional Projects
- Partner with sales leaders/managers, operations, and finance teams to evaluate strategic initiatives and business opportunities.
- Provide analytical support for pricing strategies, new product opportunities, and customer proposals.
- Lead data-related projects that improve commercial decision-making and operational alignment.
- Ensure alignment and collaboration across functions to support revenue growth.
Apply Advanced Analytics and Technology to Improve Commercial Intelligence
- Utilize advanced analytics tools and programming languages to extract and analyze large datasets.
- Leverage Excel, SQL, PowerBI/Tableau, and other tools to create scalable reporting solutions.
- Explore machine learning and advanced modeling techniques where appropriate.
- Continuously improve sales reporting, forecasting, and analytics capabilities.