Senior Data & Systems Analyst
Role Overview
Leads analysis, management, and optimization of data systems to improve decision-making and operational efficiency.
Works with cross-functional teams to develop data solutions and ensure data quality, governance, security, and scalable infrastructure.
Key Skills for This Role
Full Job Posting
Role overview
Leads analysis, management, and optimization of data systems to improve decision-making and operational efficiency.
Works with cross-functional teams to develop data solutions and ensure data quality, governance, security, and scalable infrastructure.
Duties and responsibilities
- Understand business requirements; design, implement, and maintain data systems and processes.
- Extract, transform, and load data; ensure data quality, integrity, and governance.
- Develop data models, dashboards, and reports, and communicate complex findings clearly to stakeholders.
- Track emerging technologies and best practices; evaluate and recommend tools, methodologies, and frameworks.
- Coordinate with IT infrastructure teams on data system scalability, performance, and security.
- Contribute to data protection strategies, disaster recovery plans, and business continuity measures.
Qualifications and experience
- Bachelor’s degree in Computer Science, Information Technology, or a related field; master’s degree preferred.
- At least 5 years in data analysis, systems analysis, or a related role.
- Proficiency in data manipulation, extraction, transformation, and loading; strong understanding of data quality and governance.
- Experience building and maintaining data models, dashboards, and reports using SQL, Tableau, or Power BI.
- Analytical and problem-solving ability, effective stakeholder communication, and cross-functional collaboration.
- Experience with data security, scalability, and performance optimization; ability to lead projects from conception to implementation.
Technical skills
- Data analysis tools or languages such as SQL, Python, or R.
- Data modeling, data systems and processes, extraction, transformation, and loading.
- Data visualization using tools such as Tableau or Power BI.
- Data security, scalability, and performance optimization.
Behavioral competencies
- Written and verbal communication for explaining technical concepts to non-technical stakeholders.
- Problem-solving, attention to detail, organization, teamwork, adaptability, analytical thinking, and critical thinking.
- Commitment to data integrity, security, and regulatory compliance; proactive process improvement and innovation.
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