Responsibilities
- Lead a team of data analysts to deliver high-quality data analysis and insights.
- Develop and maintain data models and dashboards to support business decision-making.
- Collaborate with stakeholders to understand data needs and provide actionable insights.
- Ensure data accuracy and integrity through robust data governance practices.
- Identify trends and patterns in data to inform strategic initiatives.
- Provide training and mentorship to junior analysts to enhance their skills and knowledge.
- Work closely with cross-functional teams to integrate data analysis into business processes.
- Conduct ad-hoc analysis and reporting as required to support business objectives.
- Develop and implement data analysis tools and techniques to improve efficiency.
- Manage data projects from inception to completion, ensuring timely delivery and high quality.
- Stay up-to-date with industry trends and best practices in data analysis.
- Ensure compliance with data privacy and security regulations.
- Provide regular updates and reports to senior management on data analysis findings.
- Contribute to the development of data strategies and roadmaps.
- Participate in data governance committees and working groups.
- Collaborate with IT and data engineering teams to optimize data infrastructure.
- Conduct data quality assessments and implement improvement plans.
- Support the development of data literacy programs within the organization.
- Liaise with external vendors and partners to enhance data capabilities.
- Develop and maintain data documentation and metadata repositories.
- Provide expert advice and guidance on data analysis methodologies and tools.
- Conduct data audits to ensure compliance with internal and external standards.
- Support the development of data-driven culture within the organization.
Nice to Have
- Experience with cloud-based data platforms such as AWS or Azure.
- Familiarity with agile methodologies and project management tools.
- Experience with data-driven culture development.
- Knowledge of advanced statistical analysis techniques.
- Proficiency in data visualization and reporting tools.
- Experience with data integration and ETL processes.
- Ability to conduct data audits and assessments.
- Familiarity with data privacy and security regulations.
- Experience with data governance and management practices.
- Knowledge of industry trends and best practices in data analysis.
- Ability to provide expert advice and guidance on data analysis methodologies.
- Experience with data-driven decision-making processes.
- Proficiency in programming languages such as Python or R.
- Ability to collaborate effectively with cross-functional teams.
- Experience with data warehousing and big data technologies.
- Strong communication and presentation skills.
- Ability to lead and mentor a team of analysts.
- Experience with data quality assessment and improvement.
- Knowledge of data visualization tools such as Tableau or Power BI.
- Ability to translate complex data into actionable insights.
- Experience with data integration and ETL processes.
Compensation
Competitive salary
Work Arrangement
Hybrid
Team
Reporting to the Head of Data and Analytics, you will lead a team of data analysts.
About the Team
- The Data and Analytics team is responsible for driving data-driven decisions across the organization.
- The team works closely with various departments to provide insights and support business objectives.
- The team is composed of data analysts, data engineers, and data scientists.
- The team is focused on delivering high-quality data analysis and insights.
- The team is committed to continuous improvement and innovation.
- The team values collaboration and teamwork.
- The team is dedicated to maintaining data accuracy and integrity.
- The team is responsible for developing and maintaining data models and dashboards.
- The team is focused on ensuring compliance with data privacy and security regulations.
- The team is committed to staying up-to-date with industry trends and best practices in data analysis.
Our Benefits
- Competitive salary and benefits package.
- Flexible work arrangements, including hybrid work options.
- Opportunities for professional development and training.
- Supportive and collaborative work environment.
- Access to industry-leading tools and technologies.
- Opportunities for career growth and advancement.
- Generous leave entitlements and work-life balance.
- Health and wellness programs and initiatives.
- Employee assistance programs and support services.
- Opportunities for team-building and social activities.
How to Apply
- Submit your resume and cover letter through the online application portal.
- Include relevant experience and qualifications in your application.
- Highlight your skills and achievements in data analysis and leadership.
- Provide examples of your work and any relevant certifications.
- Include any relevant projects or initiatives you have worked on.
- Submit your application by the specified deadline.
- Ensure your application is complete and accurate.
- Include your contact information and availability for interviews.
- Provide references and any additional supporting documents.
- Follow up on your application if you do not hear back within two weeks.
No
