What Jobs are available for Business Data Analyst in Abu Dhabi?

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.

We 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.

• 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.

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.

We 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.

1. 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.
2. 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.
3. 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.
4. 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).
5. 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.
6. 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.
7. Documentation:
   • Prepare comprehensive documentation, including:
     • User guide/manual
     • Technical documentation
     • Data source and logic references
8. Training Support:
   • Conduct structured training sessions for different user groups to ensure effective usage of the dashboards and self-service capabilities where applicable.
9. 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

Business Analysis

We are seeking a results-driven Business Analyst to support the analysis of CRM and SAP data, with a strong focus on sales performance, key account growth, and market intelligence.This role will work closely with cross-functional teams to identify gaps, uncover patterns, and generate actionable insights that drive sales growth and improve team effectiveness.

• CRM Analysis:
  • Evaluate team performance based on CRM data (e.g., activity tracking, conversion rates, pipeline health).
  • Identify opportunities to increase sales within strategic (big) accounts.
  • Provide insights to improve sales processes and customer engagement.
• SAP Data Analysis:
  • Analyze sales, inventory, and transaction data from SAP.
  • Detect inconsistencies, patterns, and operational inefficiencies.
  • Create dashboards or reports for relevant KPIs.
• Integrate insights from CRM and SAP data into broader market intelligence reporting.
• Monitor competitor activity and customer behavior trends using internal and external data sources.
• Provide regular reports on market gaps, growth opportunities, and emerging trends.
• Sales Strategy Support:
  • Work with sales leadership to optimize strategies for key accounts.
  • Help define KPIs and benchmarks to track ongoing performance.
  • Propose data-backed recommendations to support business growth.

• Bachelor’s degree in business, Data Science, Marketing, or a related field.
• 3+ years of experience in business analysis, preferably within sales or market intelligence roles.
• Strong experience with CRM platforms (e.g., Salesforce, HubSpot) and SAP.
• Proficient in data visualization tools (e.g., Power BI, Tableau) and Excel.
• Strong analytical mindset with a keen eye for identifying trends and insights.
• Excellent communication and presentation skills.

• Experience working in a B2B sales environment.
• Familiarity with SQL or data modeling is a plus.
• Ability to work independently and manage multiple priorities.

Abu Dhabi, United Arab Emirates | Posted on 06/25/2025

We are seeking a motivated and technically sound AI & ML Analyst to support the development and deployment of machine learning models and generative AI solutions. In this role, you will work closely with senior team members to help solve real-world business problems using AI technologies and ensure smooth integration into existing systems. This is an excellent opportunity for someone with a strong foundation in machine learning, data processing, and cloud platforms to grow in a hands-on, collaborative environment.

Key Responsibilities:

Assist in building and validating machine learning models and generative AI solutions for business use cases.

Support the creation and maintenance of scalable ML pipelines, including data preparation, feature engineering, training, and evaluation.

Collaborate with senior data scientists and engineers to fine-tune models for performance and reliability in production environments.

Help integrate ML models into applications through APIs and system interfaces.

Monitor deployed models for accuracy, performance, and data quality; escalate issues as needed.

Contribute to ongoing research and benchmarking of AI tools and models to improve current solutions.

Work with data engineers to ensure high-quality data ingestion and transformation pipelines.

Learn and apply version control and CI/CD practices in the ML lifecycle using tools like Git and Azure DevOps.

Use Azure services (e.g., Azure Machine Learning Studio, Databricks) to assist with model development, testing, and deployment.

Follow best practices in documentation, code quality, and reproducibility in AI/ML projects.

Bachelor’s or Master’s degree in ComputerScience, Data Science, Engineering, or a related field.2–4 years of hands-onexperience in machine learning or data science projects.

Proficiency in Python and common ML libraries(e.g., scikit-learn, pandas, TensorFlow, PyTorch).

Exposure to cloud environments, ideallyMicrosoft Azure or similar platforms.

Familiarity with ML workflows, versioncontrol, and basic DevOps practices.

Strong analytical and problem-solving skills.

Willingness to learn and collaborate acrossteams.