Position Objective Manage the internal and external communications of Clean Ready Miami - Doral comprehensively, lead the sales and customer service team, acquire new business opportunities, retain existing clients, and ensure the brand image is professionally and emotionally connected with the target market. ⸻ Key Responsibilities . Sales and Business Strategy • Acquire high-level corporate and residential clients. • Prepare customized proposals and conduct post-sales follow-ups. • Implement promotional campaigns and monitor monthly goals (sales, conversion, retention). • Actively participate in strategic events and networking opportunities. . Client Communication • Handle direct communication with VIP clients. • Manage requests, service changes, and post-service follow-ups. • Resolve complaints with a focus on customer experience. . Commercial Team Leadership • Coordinate promoters, sales agents, and virtual assistants. • Train on sales techniques and CRM usage. • Supervise the fulfilment of daily and weekly targets. . Institutional Communication • Manage social media and coordinate the brand image. • Draft content for campaigns, emails, and presentations. • Coordinate with the design team or external agencies. ⸻ Position Requirements Technical Skills • Bilingual (English and Spanish). • Proficiency in CRM (Zoho) and tools like Canva, Mailchimp, and Google Workspace. • Ability to analyze market trends and generate KPI reports. Academic and Intellectual Skills • Bachelor’s degree in Communication, Marketing, or Business Administration. • Strong skills in leadership, persuasion, and strategic communication. • Impeccable writing and strategic thinking abilities. Psychological and Behavioral Traits • Charisma, empathy, and emotional intelligence. • Inspirational leadership and results-oriented. • Ability to work under pressure and adapt quickly. Tools Provided • Laptop and phone provided by the company. • Access to CRM, design tools, and social media. • Preference: Own vehicle for client visits.
Develop, implement, and maintain leading-edge analytics systems, taking complicated problems and building simple frameworks Identify trends and opportunities for growth through analysis of complex datasets Evaluate organizational methods and provide source-to-target mappings and information-model specification documents for datasets Create best-practice reports based on data mining, analysis, and visualization Evaluate internal systems for efficiency, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning data Work directly with managers and users to gather requirements, provide status updates, and build relationships Responsibilities Work closely with project managers to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers Proactively analyze data to answer key questions for stakeholders or yourself, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity Create and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sources Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution Develop and maintain databases by acquiring data from primary and secondary sources, and build scripts that will make our data evaluation process more flexible or scalable across datasets Required skills and qualifications Three or more years of experience mining data as a data analyst Proven analytics skills, including mining, evaluation, and visualization Technical writing experience in relevant areas, including queries, reports, and presentations Strong SQL or Excel skills, with aptitude for learning other analytics tools Preferred skills and qualifications Bachelor’s degree (or equivalent) in mathematics, computer science, economics, or statistics Experience with database and model design and segmentation techniques Strong programming experience with frameworks, including XML, JavaScript, and ETL Practical experience in statistical analysis through the use of statistical packages, including Excel, SPSS, and SAS Proven success in a collaborative, team-oriented environment