Senior Data & Systems Analyst

Sharjah Education Academy

Sharjah

On-site

AED 279,000 - 446,000

Full time

14 days+

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Job summary

Sharjah Education Academy is seeking a Senior Data and Systems Analyst to lead data systems analysis, governance, and dashboard development within the IT Department. You will collaborate with cross-functional teams to translate business needs into scalable data solutions and ensure data quality and security across the infrastructure.

The role emphasizes designing robust data models, leveraging SQL, Tableau or Power BI, and staying current with analytics technologies to drive data-driven

Qualifications

  • Bachelor's degree in Computer Science or Information Technology or related field; master’s degree preferred.
  • Minimum of 5 years of experience in data analysis or systems analysis or related role.
  • Proficiency in data manipulation, extraction, transformation and loading techniques.
  • Strong understanding of data quality principles and governance best practices.
  • Experience developing and maintaining data models, dashboards and reports using SQL, Tableau or Power BI.
  • Excellent analytical and problem-solving skills with the ability to interpret complex data sets.
  • Effective communication skills to convey technical information to non-technical stakeholders.
  • Experience with data security, scalability and performance optimization techniques.
  • Ability to lead projects in cross-functional teams.

Responsibilities

  • Collaborate with cross-functional teams to understand business requirements and objectives.
  • Design, implement and maintain data systems and processes.
  • Extract, transform and load data for analysis.
  • Ensure data quality, integrity and governance.
  • Develop and maintain data models, dashboards and reports.
  • Communicate complex findings to stakeholders clearly.
  • Stay abreast of emerging technologies and best practices in data management.
  • Evaluate and recommend new tools, methodologies and frameworks.
  • Collaborate with IT infrastructure teams to ensure scalability, performance and security of data systems.
  • Contribute to data protection strategies, disaster recovery plans and business continuity measures.

Skills

SQL
Python
R
Data modelling
Data analysis
Data visualization

Education

Bachelor's degree in Computer Science / IT
Master's degree preferred

Tools

Tableau
Power BI

Job description

The Senior Data and Systems Analyst within the IT Department is responsible for leading the analysis management and optimization of data systems to enhance decision-making and operational efficiency This role requires close collaboration with cross-functional teams to understand business needs design and implement effective data solutions and ensure data quality and governance The Analyst also develops insightful dashboards and reports stays current with emerging technologies and ensures the security and scalability of the data infrastructure By utilizing advanced analytical techniques and strategic insights the Senior Data and Systems Analyst is instrumental in driving data-driven decision-making and fostering continuous improvement across the organization

Primary Duties and Responsibilities

Collaborate with cross-functional teams to understand business requirements and objectives Design implement and maintain data systems and processes Extract transform and load data for analysis Ensure data quality integrity and governance Develop and maintain data models dashboards and reports Communicate complex findings to stakeholders in a clear and concise manner Stay abreast of emerging technologies and best practices in data management and analytics Evaluate and recommend new tools methodologies and frameworks Collaborate with IT infrastructure teams to ensure scalability performance and security of data systems Contribute to the development and implementation of data protection strategies disaster recovery plans and business continuity measures These duties and responsibilities are subject to change and additional tasks may be assigned as required by the line manager or the academy

Minimum Qualifications amp Experience

Bachelor s degree in Computer Science Information Technology or a related field master s degree preferred Minimum of 5 years of experience in data analysis systems analysis or a related role Proficiency in data manipulation extraction transformation and loading techniques Strong understanding of data quality principles and governance best practices Experience developing and maintaining data models dashboards and reports using tools such as SQL Tableau or Power BI Excellent analytical and problem-solving skills with the ability to interpret complex data sets Effective communication skills with the ability to convey technical information to non-technical stakeholders Proven track record of staying updated on emerging technologies and trends in data management and analytics Experience with data security scalability and performance optimization techniques Ability to work collaboratively in a cross-functional team environment and lead projects from conception to implementation

Skills

Proficiency in data analysis tools and languages such as SQL Python or R Understanding of data modelling concepts and techniques Ability to design implement and maintain data systems and processes Knowledge of data extraction transformation and loading techniques Experience with data visualization tools such as Tableau or Power BI Familiarity with data security scalability and performance optimization techniques Competence in developing and maintaining data models dashboards and reports

Behavioural Competencies

Effective communication skills both verbal and written for conveying technical concepts to non-technical stakeholders Strong problem-solving skills with attention to detail Organizational skills for managing multiple projects simultaneously Collaboration and teamwork abilities for working effectively in cross-functional teams Adaptability and willingness to learn new technologies and methodologies Analytical and critical thinking skills for interpreting and deriving insights from data Commitment to maintaining data integrity security and regulatory compliance Proactive approach to identifying opportunities for process improvement and innovation

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