Sales Analyst

**OVERVIEW**:
The Sales Analyst plays a critical role in driving data-driven decision-making to optimize sales performance and support the company’s growth goals. This position involves analyzing sales data, identifying trends, and providing actionable insights to improve revenue and market positioning. By collaborating closely with the sales and marketing teams, the Sales Analyst ensures processes are efficient, customer engagement is enhanced, and strategies align with market demands. They contribute to pricing and revenue optimization through careful analysis of sales metrics, competitor benchmarks, and industry trends. Additionally, the Sales Analyst forecasts sales and demand, supporting construction planning and inventory management. This role requires a blend of analytical expertise, strategic thinking, and cross-functional collaboration to deliver impactful results.

**Key Responsibilities**:
**Analyze Sales Data and Trends**
- Monitor and interpret key sales performance metrics, such as sales volume, conversion rates, and revenue by community or home model.
- Identify trends, patterns, and anomalies in sales data to uncover opportunities for growth or areas needing improvement.
- Evaluate the performance of specific home models, communities, and sales strategies to recommend actionable changes that align with business objectives.

**Support Pricing and Revenue Optimization**
- Collaborate with the pricing team to analyze internal data, market trends, and competitor pricing to inform and refine pricing strategies.
- Assess market demand and economic factors to develop pricing recommendations that maintain competitiveness while maximizing profitability.
- Conduct sensitivity analyses to predict the impact of pricing changes on sales and revenue, ensuring alignment with company goals.

**Produce Sales and Market Performance Reports**
- Prepare and deliver detailed, accurate reports on sales activities, customer demographics, and key performance indicators (KPIs) for stakeholders at all levels.
- Provide in-depth insights into customer behaviors and preferences to support strategic decision-making.
- Present findings and recommendations clearly and effectively, tailoring communication to diverse audiences including senior leadership.

**Forecast Sales and Demand**
- Leverage historical data, current sales trends, and market indicators to predict future sales and demand patterns accurately.
- Support construction planning and inventory management by aligning forecasts with production schedules and inventory availability.
- Identify potential risks in the sales pipeline and provide data-backed recommendations to mitigate them and seize emerging opportunities.

**Collaborate with Sales and Marketing Teams**
- Work closely with sales teams to identify and address challenges in the sales funnel, ensuring efficient processes and improved performance.
- Partner with marketing to align campaigns with customer insights, driving lead generation and increased customer engagement.
- Support cross-functional initiatives aimed at improving customer satisfaction and retention, contributing to long-term business growth.

**Qualifications**:

- **Education**: Bachelor’s Degree in Business, Finance, Marketing, or relevant field.
- **Proven Experience**: Two years of experience working in an analyst, sales or retail environment.
- **Industry Knowledge**: Familiarity with sales processes, market trends, and customer behavior, along with an understanding of pricing strategies and data-driven decision-making in a competitive market. Understanding of construction and real estate market trends is an asset.

**Skills**:

- **Analytical Skills**:Ability to interpret complex sales data, identify patterns, and provide actionable insights to support decision-making.
- **Attention to Detail**:Capability to work with large datasets and ensure accuracy in analysis, reporting, and forecasting to avoid errors that could impact business decisions.
- **Communication Skills**:Proficiency in presenting findings, insights, and recommendations effectively to diverse audiences, including senior management and sales teams.
- **Technical Proficiency**:Expertise in using data analysis tools and software, such as Excel, SQL, Tableau, or Power BI, to gather, analyze, and visualize data.
- **Collaboration and Teamwork**:Strong ability to work cross-functionally with sales, marketing, and pricing teams to ensure alignment and achieve shared business goals.