Sales Analyst

2 weeks ago

London, Canada Mayne Full time

Position**:Sales Data Analyst**

**Department: Sales and Marketing**

Reporting to: Sales & Marketing Manager

Company: Mayne Inc.

Location: London, Ontario

Hours: Full Time Permanent (8am to 5pm, Mon-Fri)

Annual Salary: Depending on experience.

Start Date: Immediately
- **When submitting your resume, please include your salary expectations and a brief explanation of why you would be a good fit for this position.**_

**About Mayne**:
**Summary**:
This is a full-time Sales Data Analyst role based in London, ON, that is mainly in office with flexible time. As a Sales Data Analyst at Mayne, you will play a crucial role in transforming raw sales data into actionable insights that drive our sales strategy and business growth. Utilizing advanced analytics techniques, you will analyze trends, forecast sales outcomes, and support the sales team in optimizing their efforts. Your work will directly contribute to our understanding of market dynamics, customer behavior, and sales performance, enabling Mayne to make data-driven decisions and maintain competitive advantage in the industry. You will be part of the Sales and Marketing team while collaborating with cross-functional teams to define business requirements, streamline processes, and implement solutions to drive growth and efficiency.

**Skill Sets**:

- Strong analytical skills and ability to interpret complex data.
- Experience in business analysis and process improvement.
- Excellent communication skills, both verbal and written
- Ability to gather and document business requirements.
- Proficiency in using business intelligence tools, including Excel, Power BI, SQL
- Detail-oriented with strong organizational skills.
- Teamwork and working solo.
- Quality Orientation and Time Management skills
- Adaptability/ Flexibility
- Creative and Innovative Thinking
- Decision Making and Judgement
- Planning and Organizing
- Problem Solving
- Accountability and Dependability
- Ethics and Integrity
- Mathematical Reasoning
- Development and Continual Learning

**Key Responsibilities**:

- **Data Management and Analysis**: Collect, clean, and maintain databases of sales and marketing data. Conduct comprehensive analysis to identify trends, patterns, and insights within the sales data.
- **Reporting and Visualization**: Develop and deliver regular reports on sales performance, trends, and forecasts using data visualization tools. Create dashboards for real-time sales tracking and insights.
- **Collaboration and Support**: Work closely with the sales and marketing teams to understand their data needs and provide analytical support. Assist in setting and tracking sales targets, quotas, and KPIs.
- **Forecasting**: Use statistical tools to forecast future sales trends and outcomes. Provide actionable recommendations to improve sales performance and strategy.
- **Market and Competitor Analysis**: Analyze market trends and competitor performance to identify opportunities and threats. Provide insights to inform sales and marketing strategies.
- **Process Improvement**: Identify opportunities for improving sales data management and analysis processes. Implement new tools and techniques to enhance data accuracy and analytical capabilities.

**Qualifications**:

- Bachelor’s degree in business, Economics, Statistics, Mathematics, or related field. Master’s degree preferred.
- 2+ years of experience in data analysis, preferably in sales or marketing.
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Proficiency in data analysis and visualization tools (e.g., Excel, SQL, Tableau, Power BI).
- Experience with statistical analysis and forecasting models.
- Excellent communication and presentation skills, with the ability to translate complex data into actionable insights.
- Ability to work collaboratively in a team environment and manage multiple priorities.

**Why Mayne?**

Pay: $20.00-$40.00 per hour

**Benefits**:

- Extended health care
- Profit sharing
- RRSP match

Schedule:

- Monday to Friday

Supplemental pay types:

- Bonus pay

**Experience**:

- Data analysis skills: 2 years (preferred)

Work Location: In person

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