Data Science & Analytics Manager

Business & Operations Analysis Miami, Florida


Position at Wild Fork Foods

We are looking for a Data Science & Business Analytics Manager who is thrives on using data to drive business success. The ideal candidate is detail-oriented, committed to continuous learning, and passionate about staying current with the latest technologies. We need a proactive individual who takes initiative to improve processes and introduce advanced tools and methodologies to the business. You will work effectively with cross-functional teams, using your expertise in analytics and strong business acumen to extract valuable insights and support strategic decision-making.
This is an in-office role, Monday-Friday, based in our HQ in Doral, FL.    
Key Responsibilities: 
Data Science & Advanced Analytics: 
  • Develop and implement predictive models and algorithms to enhance business decision-making. 
  • Perform exploratory data analysis and interpret complex data sets to generate actionable insights. 
  • Leverage machine learning techniques (regression, classification, clustering, etc.) to solve business challenges. Deep learning methods (CNN, RNN/LSTM, GAN) knowledge is a plus. 
  • Research, Evaluate & Implement AI-driven solutions to optimize business processes and enhance decision-making.  
Business Analytics & Reporting: 
  • Conduct ad hoc analyses to support various business needs, including marketing, operations, finance, and real estate. 
  • Create and maintain interactive dashboards, reports, and data visualizations using tools like Qlik Sense. 
  • Prepare financial models and accurate assumptions for new projects & strategic initiatives. 
Business Intelligence: 
  • Design, develop, and maintain BI solutions, including interactive dashboards, reports, and data visualizations. 
  • Utilize BI tools (e.g., Qlik Sense) to create scalable data models and reporting frameworks that support business functions. 
  • Ensure data quality and integrity in BI reports and dashboards by implementing effective data validation and cleansing processes. 
  • Conduct regular audits of BI systems to identify opportunities for improvement and ensure alignment with business goals. 
  • Train and support business users on BI tools and data interpretation to promote self-service analytics. 
Collaboration & Communication: 
  • Work closely with cross-functional teams, including real estate, marketing, operations, and finance, to understand data needs and provide analytical support & appropriate tools/solutions. 
  • Translate complex data science concepts into actionable business insights and communicate findings to stakeholders. 
  • Collaborate with the IT department to develop and optimize cloud-based data strategies and infrastructures. 
 Innovation & Continuous Improvement: 
  • Stay updated with the latest trends and advancements in data science, machine learning, and business intelligence. 
  • Propose and implement new methodologies to improve data analysis processes and outcomes. 
  • Develop and maintain a data catalog and manage data assets to ensure accessibility and usability across business units. 
  • Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field. 
  • 4+ years of experience in data science, business analytics, or a related analytical role. 
  • Proficiency in statistical analysis, modeling techniques, and machine learning. 
  • Strong programming skills in Python or R, and experience with SQL. 
  • Experience with data visualization tools, Qlik Sense experience is a plus. 
  • Excellent problem-solving skills and attention to detail. 
  • Strong communication skills with the ability to convey complex data insights to non-technical stakeholders. 
  • Experience with cloud computing infrastructures (AWS, Azure, GCP) and cloud-based data solutions is a plus.