Job Description

Job Description

Position: Data Scientist - Sales Analytics

Employment Type: Full-time, Hourly

Work Schedule: (SUBJECT TO CHANGE)

- Monday to Wednesday: 8:45 am - 6:00 pm (in-office)

-Thursday: 8:45 am – 2:00 pm (in-office)

- Friday: Off

- Saturday: 8:00 am - 2:00 pm (work from home)

- Sunday: 9:00 am - 2:00 pm (work from home)

Compensation:

- Hourly Rate: Determined based on experience and degree of learning

- Capped at 40 hours per week (overtime may be required)

Benefits:

- Earn quarterly bonuses based on achieving outcome goals, ranging from $1,000 to $3,000.

- Allied Health Agency full health insurance benefits after 90 days of employment.

- Assistance with any necessary immigration work after 9 months of employment.

- Work-from-home opportunities on the weekends.

Responsibilities:

- Utilize the Convoso tool to organize and analyze company data for cost per sale calculations.

- Gather and input information on cost per lead, payouts from sales, and vendor rates.

- Ensure data accuracy, cleanliness, and integration within the Convoso tool.

-Analyze lead acquisition budgets and expenditures to identify opportunities for optimization.

-Develop data-driven models and algorithms to predict lead quality and conversion rates.

-Collaborate with cross-functional teams to define key performance indicators (KPIs) and metrics for lead acquisition.

-Conduct statistical analysis and hypothesis testing to evaluate the effectiveness of lead acquisition strategies.

-Identify trends, patterns, and insights from large and complex datasets to inform strategic decision-making.

-Design and implement experiments and A/B tests to measure the impact of different lead acquisition approaches.

-Develop data visualization and reporting tools to communicate insights and recommendations effectively.

- Collaborate with management to understand task requirements and goals.

- Observe processes and identify areas for improvement to contribute to increased production and cost reduction.

- Adhere to confidentiality agreements and handle sensitive data responsibly.

- Complete 3-4 weekly tasks assigned by management and demonstrate initiative in proposing additional tasks based on observation.

- Work closely with the team to meet outcome goals, such as increased production and reduced costs.

Qualifications:

- Bachelor's or master's degree in Data Science, Statistics, Mathematics, or a related field.

- Strong proficiency in utilizing the company tools for data organization and analysis.

- Excellent attention to detail and ability to maintain data integrity.

- Strong verbal communication skills and the ability to work effectively with management.

- Task-oriented mindset with the ability to complete assigned tasks and propose additional tasks based on observation.

- Understanding of confidentiality and data handling protocols.

- Results-driven mindset with a focus on achieving outcome goals.

- Strong analytical and problem-solving skills.

- Bonus: Familiarity with the health insurance industry and knowledge of production and cost reduction strategies.