VP Data Analytics

Position Overview:
As the VP, Data Analytics at Leiden Research, you will play a pivotal role in shaping our data analytics strategies, infrastructure, and services. You will lead a talented team of data analysts and scientists, ensuring the highest standards of data quality, analysis, and interpretation. This position offers a unique opportunity to make a significant impact on our clients' success by harnessing the power of data and analytics.

Key Responsibilities:

Data Analytics Strategy:

Develop and execute the data analytics vision and strategy in alignment with company goals.
Identify emerging trends and technologies in data analytics and recommend strategic investments.
Team Leadership:

Lead, mentor, and inspire a team of data analysts, scientists, and engineers.
Foster a culture of collaboration, innovation, and continuous learning within the data analytics division.
Data Infrastructure and Tools:

Oversee the development and maintenance of data analytics infrastructure, including data warehouses, tools, and platforms.
Ensure data security, compliance, and best practices.
Data Analysis and Insights:

Drive data analysis initiatives, including statistical modeling, machine learning, and predictive analytics.
Translate data into actionable insights and strategic recommendations for clients.
Client Engagement:

Collaborate with clients to understand their data needs, deliver data-driven solutions, and provide strategic guidance.
Strengthen client relationships and expand our data analytics services.
Data Governance and Quality Assurance:

Establish and enforce data governance practices to maintain data accuracy, consistency, and integrity.
Implement quality assurance processes for data analytics projects.
Technology Utilization:

Evaluate and select data analytics tools, software, and technologies to enhance efficiency and capabilities.
Stay updated on emerging data analytics trends and platforms.