Data Science & Analytics Manager
Description
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.
Qualifications:
- 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.
EOE/Vets/Disability