What are the responsibilities and job description for the VP - Business Data Analytics and Solutions position at Cordia Resources by Cherry Bekaert?
Join Our Client's Association Team as a Data Analytics Leader!
Are you passionate about driving growth through data analysis and technology enhancement? We're looking for a dynamic individual to lead data analysis efforts and elevate our technology stack for key revenue streams. If you have advanced skills in tools like Power BI, Tableau, and Hadoop/Spark, and a strategic mindset, we want to hear from you!
Key Responsibilities:
- Lead data analysis for primary revenue drivers (Membership, Events/Partnering, and Business Solutions).
- Review and enhance our technology stack, developing business cases for impactful improvements.
- Implement and manage data quality and governance best practices to ensure data integrity.
- Develop and execute a strategic vision for analytics and business intelligence aligned with growth objectives.
- Optimize analytics platforms and business intelligence tools such as Power BI, Tableau, and SQL.
- Provide support and training to enhance team members' data analytics skills.
- Translate complex data findings into actionable business insights.
- Leverage internal and external datasets to identify growth opportunities and forecast demand.
- Collaborate with cross-functional teams to improve processes and automation within our technology stack, including Salesforce.
- Maintain comprehensive documentation of data models, processes, and reporting requirements.
Required Background and Skills:
Education and Experience:
- Bachelor’s degree in Computer Science, Data Science, or a related field; Master’s degree preferred.
- 10 years of experience in data analytics, IT delivery, and SDLC.
- 5 years of experience in technical/solution IT architecture and data management.
- Proven track record leading medium to large-scale data projects.
Technical Skills:
- Expertise in data modeling, database design, and ETL processes.
- Hands-on experience with business intelligence tools (e.g., Power BI, Tableau, Qlik, Spotfire).
- Strong proficiency in SQL, NoSQL, SOQL, and programming languages (e.g., Python, R, Java).
- Proficiency in data warehousing, advanced analytics, and reporting.
- Experience with big data technologies (e.g., Hadoop, Spark) and cloud computing platforms.
- Knowledge of machine learning, AI concepts, and their business applications.
Data Management and Governance:
- Strong understanding of data quality management and governance best practices.
- Knowledge of data privacy regulations and security best practices.
- Expertise in designing and implementing data lakes (e.g., Snowflake).
Methodologies and Practices:
- Hands-on experience with Agile methodologies and practices.
- Proficiency in developing strategic roadmaps and managing competing stakeholder needs.
- Experience with version control systems and CI/CD practices.
Soft Skills and Leadership:
- Excellent communication and presentation skills, able to translate technical concepts for non-technical audiences.
- Strong problem-solving, critical thinking, and analytical skills.
- Ability to influence and drive change across multiple stakeholders.
- Experience in leadership roles, mentoring teams, and fostering a data-driven culture.
Industry Knowledge:
- Broad knowledge of current technology trends and designs in data analytics.
- Familiarity with the biotechnology or life sciences industry preferred.
