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Duties:
- Lead the development and delivery of data solutions that support strategic and operational decision-making across the organization.Â
- Oversee the business intelligence platform, managing analytics workflows through a ticketing system, and implementing predictive tools aligned with business needs.Â
- Promote the integration of AI tools into daily tasks to enhance efficiency, automation, and innovation in analytics practices.
- Lead the design, development, and delivery of dashboards, reports, and analytical tools that support strategic decision-making.
- Manage and mentor Data Analyst(s), providing guidance on project execution, technical development, and career growth.
- Partner with business stakeholders to define KPIs, reporting requirements, and data strategies.
- Oversee and manage the Power BI platform, including reports, dashboards, data connections, and gateway configurations.
- Implement predictive analytics tools and models based on business requirements to support forecasting and scenario planning.
- Ensure data quality, consistency, and governance across reporting systems.
- Translate complex data into clear, compelling visualizations and narratives for executive audiences.
- Drive adoption of analytics tools and foster a data-literate culture across departments.
- Lead cross-functional projects, ensuring timely delivery of insights and alignment with business objectives.
- Identify opportunities for process improvement and automation within analytics workflows.
- Support the integration of new technologies and data sources into the analytics ecosystem.
Requirements:
- Must have a Bachelor’s degree in Statistics, Economics, Analytics, Data Science, or related quantitative field.
- Must have 2 years of experience in business analytics or data science positions performing/utilizing the following:Â
- Advanced analytical and problem-solving capabilities.
- Managing multiple projects and priorities in a fast-paced environment.
- Overseeing and supporting the work of others.
- Data visualization.
- Performing project management, managing analytics projects from concept to delivery.
- Using data to influence business strategy and outcomes with demonstrated success.
- Proficiency in SQL.
- Advanced knowledge of statistical tools: R (including Shiny, dplyr, ggplot2, glmnet) and Python (including Matplotlib, Numpy, Pandas, PyTorch, Scikit-learn, SciPy, Seaborn).
- Advanced proficiency in Microsoft Office.
- Data warehousing concepts and cloud-based analytics platforms
- Proven experience with cloud computing platforms, AWS and Azure
- Apply online (https://www.ccu.com/about/careers/) or email resume and cover letter to Stacy Santeramo, VP, HR Operations (ssanteramo@ccu.com)Â
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