We're seeking a visionary Data & Analytics Manager to lead our client's growing analytics team and spearhead their data-driven decision-making initiatives.
In this pivotal role, you'll be responsible for developing and implementing a comprehensive data strategy that empowers all levels of their organization to leverage the power of data.
You'll foster a collaborative and innovative environment, leading your team to translate complex data sets into actionable insights that drive strategic decision-making across the business.
Responsibilities
- Strategic Visionary: Develop and implement a data strategy that aligns with the company's overall business objectives.
- Team Leadership: Build, manage, and mentor a high-performing team of data analysts, fostering a culture of collaboration and continuous learning.
- Data Expertise: Partner with stakeholders across departments to define data needs, translate business questions into actionable queries, and lead data collection and analysis efforts.
- Data Storytelling: Transform complex data into clear, concise, and compelling visualizations and reports that effectively communicate insights to non-technical audiences.
- Data Model Champion: Oversee the design, development, and implementation of robust data models to ensure data accuracy and accessibility.
- Staying Ahead of the Curve: Stay up-to-date on the latest data analysis trends and technologies, implementing innovative solutions to improve data management and analysis capabilities.
- Data Governance Champion: Champion data governance best practices, ensuring data quality, security, and compliance with relevant regulations.
- Communication & Collaboration: Collaborate effectively with IT, Marketing, Sales, and other departments to ensure data-driven decision-making is embedded throughout the organization.
Qualifications
- Minimum 7-10 years of experience in data analysis or a related field, with a proven track record of leading and managing data teams.
- Strong understanding of data analysis methodologies, data mining techniques, and statistical modeling.
- Proficiency in data visualization tools (e.g., Tableau, Power BI) and data manipulation languages (e.g., SQL, Python).
- Excellent communication, collaboration, and leadership skills, with the ability to effectively translate complex technical concepts to a non-technical audience.
