Data Analytics Manager / Business Intelligence Manager / Analytics Manager

Copernicus Data Space Ecosystem; Sharjah; On-site; AED 300,000 - 420,000; Full time

Job summary

Copernicus Data Space Ecosystem seeks a data analytics manager to lead analytics activities and develop BI solutions that transform complex information into actionable business insights. The role oversees reporting processes, data quality, and data-driven decision support across departments.

The successful candidate will collaborate with business leaders and technical teams to define analytics requirements, monitor performance, and establish data-driven strategies.

Qualifications

• Bachelor's degree or equivalent educational background in Data Analytics, Business Intelligence, Statistics, Computer Science, Information Systems, Mathematics, or a related discipline.
• Strong understanding of data analytics, business intelligence, statistical analysis, and data management principles.
• Knowledge of data visualization, dashboard development, reporting systems, and analytical methodologies.
• Familiarity with tools such as Power BI, Tableau, Microsoft Excel, or similar business intelligence platforms.
• Understanding of SQL, database management, data extraction, and data transformation processes.
• Ability to interpret complex datasets and translate analytical findings into practical business recommendations.
• Knowledge of statistical methods, forecasting techniques, and performance measurement.
• Strong analytical thinking, problem-solving, and decision-making abilities.
• Understanding of data quality management, data governance, and information security principles.
• Ability to coordinate analytical projects and manage multiple reporting priorities.
• Excellent written and verbal communication skills.
• Strong presentation skills and the ability to explain technical information to non-technical stakeholders.
• Good organizational skills and attention to detail.
• Familiarity with Python, R, or other analytical programming tools is an advantage.
• Ability to collaborate effectively with technical teams, business departments, and senior management.
• Strong commitment to data accuracy, continuous improvement, and informed business decision-making.

Responsibilities

• Lead the development and implementation of data analytics and business intelligence strategies aligned with organizational objectives.
• Manage analytical projects, reporting activities, and business intelligence initiatives.
• Collect, organize, process, and analyze data from multiple business systems and information sources.
• Develop dashboards, performance reports, data visualizations, and analytical models to support management decisions.
• Identify business trends, patterns, opportunities, and potential risks through statistical and quantitative analysis.
• Oversee the development and maintenance of key performance indicators (KPIs) and performance measurement frameworks.
• Collaborate with IT, finance, marketing, sales, and operations teams to understand data requirements.
• Ensure data accuracy, consistency, completeness, security, and accessibility across reporting systems.
• Translate complex analytical findings into clear business recommendations and management reports.
• Evaluate existing reporting processes and implement improvements to increase efficiency and reliability.
• Manage data analytics workflows, reporting schedules, and project priorities.
• Support forecasting, business planning, customer analysis, and operational performance assessments.
• Coordinate the integration of data from different platforms and business applications.
• Establish data governance procedures, reporting standards, and analytical best practices.
• Monitor the effectiveness of business intelligence tools and recommend technology improvements.
• Present analytical findings, performance insights, and strategic recommendations to senior management.
• Identify opportunities to automate reporting activities and improve data processing capabilities.
• Promote a data-driven culture and encourage effective use of analytics across the organization.

Skills

Data analytics

Business intelligence

SQL

Power BI

Tableau

Python

R

data governance

Education

Bachelor's degree in Data Analytics / BI / CS

Tools

Power BI

Tableau

SQL

Excel

Job description

We are seeking a highly analytical and results-driven Data Analytics Manager / Business Intelligence Manager / Analytics Manager to lead data analysis activities, develop business intelligence solutions, and transform complex information into actionable business insights. This role is responsible for overseeing analytical projects, managing reporting processes, improving data quality, and supporting strategic decision-making through accurate and meaningful data interpretation.

The successful candidate will collaborate with business leaders, technical teams, and relevant departments to identify analytical requirements, develop reporting solutions, monitor business performance, and establish effective data-driven strategies.

Key Responsibilities

• Lead the development and implementation of data analytics and business intelligence strategies aligned with organizational objectives.
• Manage analytical projects, reporting activities, and business intelligence initiatives.
• Collect, organize, process, and analyze data from multiple business systems and information sources.
• Develop dashboards, performance reports, data visualizations, and analytical models to support management decisions.
• Identify business trends, patterns, opportunities, and potential risks through statistical and quantitative analysis.
• Oversee the development and maintenance of key performance indicators (KPIs) and performance measurement frameworks.
• Collaborate with IT, finance, marketing, sales, and operations teams to understand data requirements.
• Ensure data accuracy, consistency, completeness, security, and accessibility across reporting systems.
• Translate complex analytical findings into clear business recommendations and management reports.
• Evaluate existing reporting processes and implement improvements to increase efficiency and reliability.
• Manage data analytics workflows, reporting schedules, and project priorities.
• Support forecasting, business planning, customer analysis, and operational performance assessments.
• Coordinate the integration of data from different platforms and business applications.
• Establish data governance procedures, reporting standards, and analytical best practices.
• Monitor the effectiveness of business intelligence tools and recommend technology improvements.
• Present analytical findings, performance insights, and strategic recommendations to senior management.
• Identify opportunities to automate reporting activities and improve data processing capabilities.
• Promote a data-driven culture and encourage effective use of analytics across the organization.

Role Description

We are seeking a highly analytical and results-driven Data Analytics Manager / Business Intelligence Manager / Analytics Manager to lead data analysis activities, develop business intelligence solutions, and transform complex information into actionable business insights. This role is responsible for overseeing analytical projects, managing reporting processes, improving data quality, and supporting strategic decision-making through accurate and meaningful data interpretation.

The successful candidate will collaborate with business leaders, technical teams, and relevant departments to identify analytical requirements, develop reporting solutions, monitor business performance, and establish effective data-driven strategies.

Key Responsibilities

• Lead the development and implementation of data analytics and business intelligence strategies aligned with organizational objectives.
• Manage analytical projects, reporting activities, and business intelligence initiatives.
• Collect, organize, process, and analyze data from multiple business systems and information sources.
• Develop dashboards, performance reports, data visualizations, and analytical models to support management decisions.
• Identify business trends, patterns, opportunities, and potential risks through statistical and quantitative analysis.
• Oversee the development and maintenance of key performance indicators (KPIs) and performance measurement frameworks.
• Collaborate with IT, finance, marketing, sales, and operations teams to understand data requirements.
• Ensure data accuracy, consistency, completeness, security, and accessibility across reporting systems.
• Translate complex analytical findings into clear business recommendations and management reports.
• Evaluate existing reporting processes and implement improvements to increase efficiency and reliability.
• Manage data analytics workflows, reporting schedules, and project priorities.
• Support forecasting, business planning, customer analysis, and operational performance assessments.
• Coordinate the integration of data from different platforms and business applications.
• Establish data governance procedures, reporting standards, and analytical best practices.
• Monitor the effectiveness of business intelligence tools and recommend technology improvements.
• Present analytical findings, performance insights, and strategic recommendations to senior management.
• Identify opportunities to automate reporting activities and improve data processing capabilities.
• Promote a data-driven culture and encourage effective use of analytics across the organization.

Qualifications

• Bachelor's degree or equivalent educational background in Data Analytics, Business Intelligence, Statistics, Computer Science, Information Systems, Mathematics, or a related discipline.
• Strong understanding of data analytics, business intelligence, statistical analysis, and data management principles.
• Knowledge of data visualization, dashboard development, reporting systems, and analytical methodologies.
• Familiarity with tools such as Power BI, Tableau, Microsoft Excel, or similar business intelligence platforms.
• Understanding of SQL, database management, data extraction, and data transformation processes.
• Ability to interpret complex datasets and translate analytical findings into practical business recommendations.
• Knowledge of statistical methods, forecasting techniques, and performance measurement.
• Strong analytical thinking, problem-solving, and decision-making abilities.
• Understanding of data quality management, data governance, and information security principles.
• Ability to coordinate analytical projects and manage multiple reporting priorities.
• Excellent written and verbal communication skills.
• Strong presentation skills and the ability to explain technical information to non-technical stakeholders.
• Good organizational skills and attention to detail.
• Familiarity with Python, R, or other analytical programming tools is an advantage.
• Ability to collaborate effectively with technical teams, business departments, and senior management.
• Strong commitment to data accuracy, continuous improvement, and informed business decision-making.