What Jobs are available for Business Data Analyst in the United Arab Emirates?
Showing 35 Business Data Analyst jobs in the United Arab Emirates
Data Analyst - Business Intelligence
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Job Description
Key Responsibilities
Dashboarding & Reporting
- Design, build, and maintain interactive dashboards in Power BI.
- Automate recurring reports and develop self-service analytics tools.
- Ensure data accuracy, consistency, and timeliness.
Data Analysis & Insight Generation
- Analyze trends and performance across channels.
- Identify growth opportunities, margin risks, and operational inefficiencies.
- Support forecasting, budgeting, and strategic planning.
Data Governance & Quality
- Maintain data integrity across multiple sources including ERP, CRM, and vendor portals.
- Support data migration, cleansing, and enrichment initiatives.
Qualifications & Experience:
- Bachelor's degree in Data Science, Business Analytics, Computer Science, or related field.
- 1-3 years of experience in data analysis, preferably within IT or FMCG distribution.
- Advanced proficiency in Power BI, DAX, Tableau etc. data modelling tools.
- Strong Excel skills; experience with SQL, Python, R or other analytics tools is a plus.
- Familiarity with SAP system.
Preferred Attributes:
- Excellent communication and organisational skills with ability to work across teams.
- Experience working with multi-brand, multi-channel datasets.
- Understanding of distribution KPIs.
- Ability to work independently and manage multiple priorities.
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Data & Business Analyst
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Job Description
Overview
PANGAIA exists to design a future where people and planet reconnect, through every product we create, the stories we tell, and every action we take. We fuse innovation, design, and purpose to responsibly deliver products and experiences that nurture well-being while ensuring minimal collective environmental footprint.
We are a global collective: one heart, many creative minds. From designers to scientists, from storytellers to retailers, we unite to build a platform that brings meaningful innovation to life. We don’t just sell products — we redefine their role: shifting from symbols of consumption to instruments for wellness, consciousness, and lasting positive impact.
Our vision is simple: empower people to live more intelligently, beautifully, and responsibly through purposeful design, cutting-edge innovation, uncompromising quality, and a deeply connected community.
The RoleWe are seeking a technically skilled and detail-oriented Data & Business Analyst to be a cornerstone in building our data-driven decision-making capability.
PANGAIA is a D2C brand with most sales via its webshop, and we are now planning a significant expansion of our retail activities. Building a strong analytics backbone to support both online and offline businesses is pivotal to provide leadership with a robust data basis for strategic and operational decisions.
In the initial phase, the focus will be on data consistency across systems and departments, implementing a master data concept, and setting up a scalable analytics infrastructure and logic. Once this foundation is in place, the role will evolve into delivering advanced analytics, predictive models, and actionable insights across both e-commerce and retail operations.
Key Responsibilities Data Infrastructure & Governance- Support the rollout of a master data management concept across all systems (ERP, PLM, CRM, POS, e-commerce).
- Ensure data accuracy, consistency, and availability across D2C and retail channels.
- Design data pipelines that integrate transactional, operational, and customer data.
- Establish governance processes for data ownership, taxonomy, and hierarchy.
- Build dashboards and reports that cover both online and retail performance.
- Provide KPIs and insights for e-commerce (traffic, conversion, AOV, CAC, LTV, returns) and retail (footfall, basket size, sales per sqm, conversion rates).
- Support omni-channel analytics such as customer journey tracking across online and retail touch points.
- Monitor product performance across SKUs, categories, and geographies.
- In coordination with the commercial team on developing demand forecasting models combining internal sales data with external data (seasonality, macroeconomic trends, weather, events).
- In coordination with commercial teams, build predictive analytics for inventory planning, replenishment, and allocation across e-commerce and retail.
- Use AI/ML to create customer segmentation models, churn predictions, and personalized recommendations.
- Continuously refine and validate models to enhance decision-making quality.
- Analyse the full value chain: sourcing, logistics, fulfillment, and returns.
- Provide insights into process efficiency, lead times, and cost optimisation.
- Enable leadership to make informed decisions on pricing, promotions, and assortment strategy.
- Support finance with margin and profitability analytics across sales channels.
- Create analytics frameworks for customer service performance, NPS, and satisfaction tracking.
- Monitor omni-channel customer engagement (CRM campaigns, loyalty programs, retail events).
- Support marketing funnel optimization with data-backed insights.
- Strong command of SQL and experience with data warehouses (Snowflake, Big Query, Azure).
- Programming skills in Python or R for analysis, modelling, and machine learning.
- Experience with ETL/ELT pipelines and data integration tools (dbt, Fivetran, Airflow, Celigo).
- Proficiency with visualisation tools (Power BI, Tableau, Looker).
- Familiarity with cloud environments (Azure, AWS, GCP).
- Understanding of APIs and integrations across ERP, CRM, PLM, POS, and e-commerce platforms.
- Expertise in forecasting, predictive modelling, and machine learning.
- Strong statistical background with ability to apply regression, clustering, time-series analysis, A/B testing.
- Deep knowledge of retail and e-commerce KPIs.
- Ability to create omni-channel analytics frameworks for unified reporting.
- Experience combining online and offline data sets for holistic customer and business insights.
- Familiarity with POS data structures and retail analytics metrics (traffic counters, sales density).
- Knowledge of inventory optimization across multiple distribution channels.
- Understanding of customer behavior analytics both online (clickstream, funnels) and in-store (footfall, dwell time).
- Awareness of sustainability metrics relevant for premium fashion (returns rates, circularity, DPP readiness).
- 3–6 years of experience in data/business analytics, ideally in fashion, retail, or consumer goods.
- Hands-on problem solver with strong analytical rigor.
- Comfortable working in a fast-paced transformation environment.
- Strong communication skills — able to translate technical findings into business impact.
- Curious, proactive, and passionate about creating new capabilities.
At PANGAIA, you will play a pivotal role in building a data-driven culture and a globally recognized responsible fashion brand at scale. You’ll have the chance to work at the intersection of innovation, design, and purpose, creating impact beyond commerce while delivering meaningful returns to shareholders.
By supporting both our e-commerce core and our growing retail footprint, your work will directly shape how we scale international, grow sales and how we optimise operations.
If you are ready to shape the future of responsible fashion and lead one of our most important growth engines, we would love to hear from you.
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Data & Business Analyst
Posted today
Job Viewed
Job Description
Overview
PANGAIA exists to design a future where people and planet reconnect, through every product we create, the stories we tell, and every action we take. We fuse innovation, design, and purpose to responsibly deliver products and experiences that nurture well-being while ensuring minimal collective environmental footprint.
We are a global collective: one heart, many creative minds. From designers to scientists, from storytellers to retailers, we unite to build a platform that brings meaningful innovation to life. We don’t just sell products — we redefine their role: shifting from symbols of consumption to instruments for wellness, consciousness, and lasting positive impact.
Our vision is simple: empower people to live more intelligently, beautifully, and responsibly through purposeful design, cutting-edge innovation, uncompromising quality, and a deeply connected community.
The RoleWe are seeking a technically skilled and detail-oriented Data & Business Analyst to be a cornerstone in building our data-driven decision-making capability.
PANGAIA is a D2C brand with most sales via its webshop, and we are now planning a significant expansion of our retail activities. Building a strong analytics backbone to support both online and offline businesses is pivotal to provide leadership with a robust data basis for strategic and operational decisions.
In the initial phase, the focus will be on data consistency across systems and departments, implementing a master data concept, and setting up a scalable analytics infrastructure and logic. Once this foundation is in place, the role will evolve into delivering advanced analytics, predictive models, and actionable insights across both e-commerce and retail operations.
Key Responsibilities Data Infrastructure & Governance- Support the rollout of a master data management concept across all systems (ERP, PLM, CRM, POS, e-commerce).
- Ensure data accuracy, consistency, and availability across D2C and retail channels.
- Design data pipelines that integrate transactional, operational, and customer data.
- Establish governance processes for data ownership, taxonomy, and hierarchy.
- Build dashboards and reports that cover both online and retail performance.
- Provide KPIs and insights for e-commerce (traffic, conversion, AOV, CAC, LTV, returns) and retail (footfall, basket size, sales per sqm, conversion rates).
- Support omni-channel analytics such as customer journey tracking across online and retail touch points.
- Monitor product performance across SKUs, categories, and geographies.
- In coordination with the commercial team on developing demand forecasting models combining internal sales data with external data (seasonality, macroeconomic trends, weather, events).
- In coordination with commercial teams, build predictive analytics for inventory planning, replenishment, and allocation across e-commerce and retail.
- Use AI/ML to create customer segmentation models, churn predictions, and personalized recommendations.
- Continuously refine and validate models to enhance decision-making quality.
- Analyse the full value chain: sourcing, logistics, fulfillment, and returns.
- Provide insights into process efficiency, lead times, and cost optimisation.
- Enable leadership to make informed decisions on pricing, promotions, and assortment strategy.
- Support finance with margin and profitability analytics across sales channels.
- Create analytics frameworks for customer service performance, NPS, and satisfaction tracking.
- Monitor omni-channel customer engagement (CRM campaigns, loyalty programs, retail events).
- Support marketing funnel optimization with data-backed insights.
- Strong command of SQL and experience with data warehouses (Snowflake, Big Query, Azure).
- Programming skills in Python or R for analysis, modelling, and machine learning.
- Experience with ETL/ELT pipelines and data integration tools (dbt, Fivetran, Airflow, Celigo).
- Proficiency with visualisation tools (Power BI, Tableau, Looker).
- Familiarity with cloud environments (Azure, AWS, GCP).
- Understanding of APIs and integrations across ERP, CRM, PLM, POS, and e-commerce platforms.
- Expertise in forecasting, predictive modelling, and machine learning.
- Strong statistical background with ability to apply regression, clustering, time-series analysis, A/B testing.
- Deep knowledge of retail and e-commerce KPIs.
- Ability to create omni-channel analytics frameworks for unified reporting.
- Experience combining online and offline data sets for holistic customer and business insights.
- Familiarity with POS data structures and retail analytics metrics (traffic counters, sales density).
- Knowledge of inventory optimization across multiple distribution channels.
- Understanding of customer behavior analytics both online (clickstream, funnels) and in-store (footfall, dwell time).
- Awareness of sustainability metrics relevant for premium fashion (returns rates, circularity, DPP readiness).
- 3–6 years of experience in data/business analytics, ideally in fashion, retail, or consumer goods.
- Hands-on problem solver with strong analytical rigor.
- Comfortable working in a fast-paced transformation environment.
- Strong communication skills — able to translate technical findings into business impact.
- Curious, proactive, and passionate about creating new capabilities.
At PANGAIA, you will play a pivotal role in building a data-driven culture and a globally recognized responsible fashion brand at scale. You’ll have the chance to work at the intersection of innovation, design, and purpose, creating impact beyond commerce while delivering meaningful returns to shareholders.
By supporting both our e-commerce core and our growing retail footprint, your work will directly shape how we scale international, grow sales and how we optimise operations.
If you are ready to shape the future of responsible fashion and lead one of our most important growth engines, we would love to hear from you.
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Data Analyst-Business Intelligence and Process Automation
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Job Description
Data Analyst-Business Intelligence and Process Automation
University City , United Arab Emirates
Sharjah Performing Arts Academy is seeking a full-time Data Analyst – Business Intelligence and Process Automation.
The Data Analyst plays a key role in supporting evidence-based decision-making by collecting, organizing, analyzing, and presenting statistical and institutional data. The role is responsible not only for preparing reports and insights but also for designing and developing automated data solutions and systems that streamline data collection, integration, and reporting processes. The analyst ensures compliance with Ministry of Higher Education and Scientific Research (MOHESR) requirements, supports accreditation and ranking submissions, and contributes to continuous improvement of data quality and institutional effectiveness.
Scope the JobReporting to: Senior Manager - Quality Assurance and Strategy
Responsible for: Improvement of data quality
Works Closely with: Senior Manager - Quality Assurance and Strategy
Start Date: 5 January 2026
Employment Type: Full Time
Closing date for applications: 10 November 2025
- Join a talented team in a supportive and collaborative environment
- No unnecessary bureaucracy, no pointless tools, and flexible working hours
- Focus on meaningful work with real responsibilities and autonomy
- Enhance your expertise across diverse aspects of the performing arts industry
- Contribute to creating impactful content that supports our community daily
- Embrace real challenges and responsibilities in a dynamic, rapidly evolving academy
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Business Analysis and Data Analyst
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Job Description
Overview
Job Title: Business Data Analyst (Banking) - Digital Transformation
Job Type: Full-Time Contract (1 year, renewable)
Location: On-site, Dubai, Dubai, United Arab Emirates
Job Summary:
Join our team as a Business Data Analyst at the forefront of digital transformation within a leading UAE bank. In this pivotal role, you will bridge business stakeholders and technology teams, applying deep analytical expertise to drive insights, optimize processes, and elevate customer journeys across key digital banking initiatives. Embrace an asynchronous work culture that values exceptional written communication and proactive problem-solving.
Key Responsibilities- Elicit, analyze, and document business requirements, user stories, and process flows for digital projects.
- Act as a key liaison between business units and technical teams to ensure clear understanding of project objectives.
- Conduct gap analysis and impact assessments for new features and system changes within core banking functions.
- Participate in Agile/Scrum ceremonies, including sprint planning, backlog grooming, and daily stand-ups.
- Design and execute test scenarios, supporting user acceptance testing (UAT) and solution validation.
- Write complex SQL queries to extract and analyze large datasets, generating actionable insights and KPI reports with Power BI.
- Translate analytical findings into clear, data-driven recommendations and presentations for diverse stakeholders.
- Bachelor’s degree in Computer Science, Engineering, Finance, Business, or a quantitative discipline.
- 5-9 years’ experience as a Business Analyst, with a strong background in Banking, Financial Services, or FinTech.
- High proficiency in SQL and PL/SQL, with hands-on experience in Power BI for data visualization.
- Proven experience working with core-banking systems and exposure to digital transformation projects.
- Solid understanding of Agile methodologies (Scrum, Kanban) and expertise with JIRA.
- Exceptional written communication skills, adept at working in asynchronous, collaborative environments.
- Strong analytical and critical thinking abilities with excellent stakeholder management.
- Relevant professional certifications (CBAP, PMI-PBA, Agile Scrum, Data Analytics).
- Experience with data modeling, Python or R for advanced analytics, and systems like Flexcube or OFSAA.
- Expertise in digital banking products, customer journey mapping, and process optimization.
Become part of our team and contribute to high-impact initiatives, working on projects that set industry standards and drive meaningful change. We foster an inclusive, high-performing culture offering career development opportunities, comprehensive benefits, and a collaborative environment to help you thrive.
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Business Analyst (Data & Strategy)
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Overview
We are looking for a highly analytical and business-minded Business Analyst with 2-3 years of experience, ideally with a background in market research and operational analysis. In this role, you will partner closely with cross-functional teams to turn complex data into actionable business insights that drive decision-making, operational efficiency, and strategic growth.
Responsibilities- Analyze internal and external data to identify trends, assess performance, and support business strategy;
- Conduct in-depth market research and competitive analysis to inform product and growth decisions;
- Translate data insights into clear, actionable recommendations that support execution across product, marketing, and operations;
- Build and maintain dashboards, business reports, and performance metrics to monitor KPIs and key initiatives;
- Collaborate with cross-functional teams to define data requirements and support business planning;
- Participate in forecasting, scenario modeling, and business case development;
- Provide ad hoc insights and data support for strategic and operational projects;
- Bachelor's degree in Business, Economics, Data Science, Statistics, or a related field;
- 2-3 years of experience in data analytics or business analysis, with strong exposure to market research;
- Proficient in SQL and at least one analytical tool (e.g., Python, R, Excel);
- Experienced with BI platforms such as Tableau, Power BI, or Looker;
- Strong business acumen and ability to connect data findings to real-world decisions and outcomes;
- Excellent communication skills with the ability to influence stakeholders across departments;
- Experience in a crypto exchange, fintech, or fast-growing tech company;
- Familiarity with user behavior data, growth metrics, and financial KPIs;
- Understanding of web or mobile analytics platforms (e.g., Google Analytics, Mixpanel);
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Business Intelligence Analyst
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Job Description
Fluid Codes is the APEX Channel Partner of ANSYS part of Synopsys, authorized with exclusive rights to distribute and provide support for ANSYS Engineering Simulation Solutions in the Middle East and North Africa. (fluidcodes.com).
Ansys is the global leader in engineering simulation, helping the world’s most innovative companies deliver radically better products to their customers. By offering the best and broadest portfolio of engineering simulation software, Ansys helps companies solve the most complex design challenges and engineer products limited only by imagination.
JOB SUMMARY:
We are seeking Business Intelligence Analyst to execute the implementation of BI dashboards, process analytics, and reporting workflows . The ideal candidate will collaborate closely with business stakeholders to model processes, integrate data sources, and deliver actionable insights for Sales, Marketing, Technical, and Operations teams.
Key Responsibilities
- Data Integration: Connect and maintain data from multiple sources (Salesforce, HubSpot, Zoho, Google Sheets) into a unified reporting system.
- Build and Manage BI Solutions: Develop interactive dashboards and reports using Power BI, Salesforce or equivalent tools, ensuring clear visualization of key business metrics.
- Process Analytics: Analyze business workflows, define KPIs, and provide actionable insights to improve efficiency and automation opportunities.
- Performance Monitoring: Deliver real-time analytics for Sales, Marketing, and technical teams, including trend analysis and forecasting.
- Stakeholder Collaboration: Work closely with department heads to capture requirements, deliver insights, and train teams on BI tools for self-service reporting.
Qualifications & Skills
- Education: Bachelor’s degree in Computer Science, Information Systems, Business, Data Analytics, or related field.
- Experience: 3+ years in BI development, process analytics, or similar roles.
- Technical Skills:
- Proficiency in Power BI (or Tableau/Qlik), DAX , and data modelling.
- Strong experience with ETL processes, data preparation, and transformation for analytics.
- Solid understanding of SQL and relational databases for data extraction and manipulation.
- Familiarity with Salesforce, HubSpot, Zoho Projects, and other business systems for data integration.
- Soft Skills: Strong analytical thinking, problem-solving, and stakeholder communication skills.
Founded in 1997, Fluid Codes is an Ansys Apex Channel Partner serving the needs of the engineering community in the Middle East & Africa.
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Global Manager - Business Intelligence
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Leads the strategic application of data and analytics to enhance decision-making and operational excellence across DP World's global operations. This role sets the vision for data-enabled transformation initiatives, guiding a portfolio of analytics projects aligned with enterprise priorities, including IoT optimisation, AI adoption, and global platform rollouts such as Zodiac.
In addition, the role plays a pivotal part in driving global innovation, embedding analytics and data intelligence into the ideation, validation, and scaling of breakthrough initiatives. As a strategic partner to the Innovation Office, the incumbent helps ensure that innovation efforts are evidence-based, outcome-driven, and aligned with DP World’s growth and digital transformation ambitions.
KEY ACCOUNTABILITIES:
Lead strategic business intelligence initiatives to unlock operational efficiencies and growth opportunities across terminals, platforms, and innovation programs.
Own the analytics vision and roadmap for key programs (e.g. Zodiac, IoT optimisation, AI projects and more), ensuring alignment with enterprise KPIs and DP World’s digitalisation agenda.
Use Power BI and other visualisation tools to develop interactive dashboards that highlight trends, support performance improvement and inform strategic planning.
Promote the use of analytics tools and foster a culture of data-driven decision making and continuous improvement.
Define and govern data structures, models, and frameworks to enhance performance visibility across business units, enabling real-time monitoring and global benchmarking
Partner with Technology and BI teams to prioritise and influence development of analytics platforms, while staying focused on business value delivery rather than execution.
Champion the integration of analytics within global innovation programs, collaborating with the Innovation Office, Innogate, and cross-functional teams to evaluate and scale high-impact ideas.
Represent Global Operations in steering committees and leadership forums, presenting insights, progress updates, and forward-looking analytics strategy.
Sponsor and mentor regional analytics communities, nurturing a culture of innovation, data maturity, and best practice sharing across business units.
Support executive communications with impactful storytelling, strategic dashboards, and insights tailored to C-suite and Board-level needs.
Contribute to enterprise transformation and innovation campaigns (e.g. Innovation Live, Champions Campaign) by embedding analytics in idea validation, tracking, and decision-making.
Act as senior advisor and business partner to regional heads, COOs, and cross-functional leaders, embedding analytics into strategic decision-making.
Act as an ambassador for DP World at all times when working; promoting and demonstrating positive behaviours in harmony with DP World’s Principles, values and culture; ensuring the highest level of safety is applied in all activities; understanding and following DP World’s Code of Conduct and Ethics policies
Perform other related duties as assigned
QUALIFICATIONS, EXPERIENCE AND SKILLS:
Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics or a related field.
5-10 years experience in the analysis of business processes and interfaces including, but not limited to container terminal operations, terminal operating systems (Navis, Zodiac, etc), interpreting system documentation, data and/or business process modelling, and data flow/context diagramming.
Minimum 2 years of experience in Data Analysis and visualization (Power BI, SAP Business Intelligence reports or comparable BI applications).
Excellent Analytical Skills.
Proficiency with relational database concepts and report writing tools.
Understanding on Terminal Planning and Operations processes, standards and procedures. Understanding on Operational and Commercial KPIs and definitions.
Ability to work and communicate within multi-cultural and multi-national teams within DP World head office as well as DP World business units and regional offices around the world.
Strong organizational skills. Competent with mainstream office automation, project management, presentation, and communications tools. Executes all job responsibilities and assignments promptly, reliably, and ethically.
Flexible and adaptable, functions well as a team player in multi-cultural team, remains calm and cheerful under stressful conditions.
Effective communication and reporting fluently in English language.
DP World is committed to the principles of Equal Employment Opportunity (EEO). We strongly believe that employing a diverse workforce is central to our success and we make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, gender, disability, race, religion or belief.
By submitting your resume and application information, you authorize DP World to transmit and store your information in the world-wide recruitment database, and to circulate that information as necessary for the purpose of evaluating your qualification for this or other job vacancies.
Job Info- Job Identification 20757
- Posting Date 10/02/2025, 05:17 PM
- Locations JAFZA LOB 17 - Fifth Floor, Dubai, AE
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101332 - Business Intelligence Develop...
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Job Description
About Us
AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking & financial services, healthcare, supply chain & logistics, consumer retail, manufacturing, eGovernance and other industry sectors. We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you’re passionate about technology and thrive in a fast-paced environment, we want to hear from you.
Job SummaryWe are seeking a Business Intelligence Developer who performs end-to-end development and implementation of data dashboards and related reporting components. The role involves close collaboration with internal teams, ensuring alignment with business objectives, and driving continuous improvement in analytics and reporting capabilities.
Key Responsibilities- Requirement Gathering & Planning:
- Conduct meetings with various departments and stakeholders to gather requirements, define use cases, and identify key performance indicators (KPIs).
- Prepare a detailed work plan that outlines deliverables, timelines, and responsibilities.
- Integration with Existing Data Sources:
- Connect and integrate with existing internal data sources and systems.
- Ensure secure, stable, and optimized data connections suitable for reporting purposes.
- Data Preparation and Understanding:
- Perform data collection, profiling, cleaning, and transformation.
- Understand the business logic and rules that govern data to prepare datasets ready for analysis and visualization.
- Dashboard Design and Development:
- Develop user-friendly, interactive dashboards tailored to serve a wide range of audiences, including: Executive Leadership (Ministry Level), Undersecretary Level, Directors and Managers, All Internal Employees, External Government Entities, Public Users and Website Visitors (where applicable).
- Ensure dashboards are responsive, intuitive, accessible, and aligned with customer branding and UX standards.
- Design for Arabic/English language preferences and device compatibility (desktop, tablet, mobile).
- Data Validation and User Acceptance Testing (UAT):
- Validate data accuracy and consistency across all visuals. Coordinate and facilitate UAT sessions to ensure that the deliverables meet the functional and business requirements.
- Deployment and Publishing:
- Publish dashboards to the appropriate server or reporting platform. Implement role based access control and ensure the dashboards are accessible to intended users.
- Documentation:
- Prepare comprehensive documentation, including:
- User guide/manual
- Technical documentation
- Data source and logic references
- Prepare comprehensive documentation, including:
- Training Support:
- Conduct structured training sessions for different user groups to ensure effective usage of the dashboards and self-service capabilities where applicable.
- Ongoing Technical Support:
- Provide continuous technical support during and post-deployment, including troubleshooting, performance tuning, and implementation of minor enhancements.
- Strong experience in business intelligence (BI) and dashboard development using tools such as Power BI, Tableau, or similar platforms.
- Proficiency in SQL and data modeling techniques.
- Experience with integrating and transforming data from multiple sources.
- Understanding of data governance, access control, and security best practices.
- Ability to communicate effectively with both technical and non-technical stakeholders.
- Bilingual communication skills (Arabic and English) are preferred.
- Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.
- Continuous investment in employee growth and professional development with a strong focus on up & re-skilling.
- Competitive compensation & benefits, ESOPs and international assignments.
- Supportive environment with healthy work-life balance and a focus on employee well-being.
- Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position
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