Kody Technolab - Revenue Manager

Responsibilities:

- Revenue Analysis & Reporting: Analyze revenue data from various sources to identify trends, patterns, and opportunities for revenue optimization.

- Develop and maintain regular revenue reports and dashboards for stakeholders.

- Pricing Strategy Development: Assist in the development and implementation of pricing strategies that align with market conditions, competitive landscape, and business objectives to maximize revenue and profitability.

- Forecasting & Budgeting: Contribute to the revenue forecasting and budgeting processes, providing insights and analysis to support accurate projections.
- Inventory Management: Manage inventory and capacity effectively to optimize revenue based on demand and availability.

- Promotional Strategy & Analysis: Analyze the effectiveness of promotional campaigns and recommend strategies to optimize their impact on revenue.

- Channel Management: Evaluate the performance of different sales channels and recommend strategies to optimize channel mix for maximum revenue.

- Market Research & Competitive Analysis: Conduct market research and analyze competitor pricing and revenue strategies to identify opportunities and inform our own approach.

- Data-Driven Decision Making: Utilize data and analytics to support all revenue management decisions and recommendations.

- Collaboration with Sales & Marketing: Work closely with sales and marketing teams to align revenue management strategies with sales efforts and marketing campaigns.

- System Optimization: Identify and recommend improvements to revenue management systems and processes.

- Compliance & Reporting: Ensure compliance with relevant accounting standards and reporting requirements related to revenue.

Qualifications:

- Master's/Bachelor's degree in Business Administration or a related field.

- 3-4 years of proven experience in revenue management, pricing analysis, or a related analytical role.

- Strong analytical and problem-solving skills with the ability to interpret complex data and draw actionable insights.

- Excellent proficiency in data analysis tools (Excel, Google Sheets) and revenue management systems (RMS) if applicable.

- Understanding of pricing principles and strategies.

- Strong business acumen and understanding of market dynamics.

- Excellent communication and presentation skills.

- Ability to work independently and collaboratively within a team.

- Detail-oriented with a strong focus on accuracy.

Preferred Qualifications:

- Familiarity with statistical analysis software (R, Python).

- Experience with data visualization tools (Tableau, Power BI, Google Data Studio).

- Knowledge of forecasting techniques and modeling