165 Business Data Analyst jobs in Abu Dhabi

Our team seeks a skilled Data Business Analyst to join our organization.

• This role involves defining data, master data, and reporting requirements from business users and proactively challenging those requirements along with defining required Data Governance.
• The ideal candidate will generate insights and reports in an easy-to-understand format and provide recommendations to solve business problems and improve data utilisation.
• Key responsibilities include reviewing and mapping business processes to understand client ways of working and defining Master Data requirements to support each process.
• The selected candidate will interpret data, patterns, and trends, analyse results, and use statistical techniques to provide potential solutions.
• They will also create required visualizations and dashboards in Microsoft Power BI, Tableau, or Qlik Sense.

• A bachelor's degree in Computer Science, Computer Engineering, Business Management, or a relevant field is required.
• At least 4 years of experience as a Data Business Analyst, Business Analyst, or similar role are necessary.
• Experience in Enterprise ERP systems, e.g., Oracle Fusion, Microsoft Dynamics 365, is preferred.
• Utilizing visualization solutions like Microsoft Power BI, Tableau, or Qlik Sense is a must.

The role involves collaborating with clients and stakeholders to deliver successful business analysis outcomes. Key responsibilities include gathering requirements, defining deployment scope, and ensuring seamless platform integration.

Business analysis skills are essential, along with the ability to translate business objectives into actionable requirements. Experience in data management concepts is also required.

• Work directly with client teams to elicit, document, and validate business and technical requirements for platform deployment.
• Analyze existing infrastructure and workflows to ensure a smooth platform integration.
• Facilitate workshops, interviews, and requirement sessions with client teams.

• Bachelor's degree in a relevant field, such as business or information systems.
• 5+ years of experience in business analysis, particularly in data platform deployment/implementation projects.
• Strong understanding of data management concepts – data lakes, data warehouses, lakehouse, batch & streaming pipelines, data governance, data quality, BI tools.

A dynamic environment that encourages personal growth and innovation.

Competitive rewards and opportunities for career advancement.

Mid-Senior level

Full-time

IT Services and IT Consulting

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.

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.

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.

WHO YOU WILL WORK WITH

We are a diverse international team of extremely talented and capable individuals who work together to exceed the clients' expectations on every element of every contract. It is our #Changemakers that have made the Renoir Group the success that it is today. As a business with an instinct for delivery and improvement, Renoir is always aware that we must constantly look towards the future and develop the talent that will drive the business forward. It isvital to recruit, develop, reward and inspire the people whose ideas, ambitions and energy constantly refresh Renoir's competitive edge.

• The Data Business Analyst will define data, master data and reporting requirements from the business users and proactively challenge those data and reporting requirements along with defining the required Data Governance to implement.
• The Data Business Analyst will generate insights and report in an easy-to-understand format and proffer recommendations to solve business problems and improve the utilisation of data across the organisation.
• The Data Business Analyst will review and map business processes to understand our client's ways of working and define the Master Data requirements to support each business process to support the Master Data definition for the implementation of our client's digital solutions (ERP, HCM, etc).
• The Data Business Analyst will interpret data, patterns, and trends, analyse results, and use statistical techniques along with third-party solutions and provide potential solutions. This will enable turning data into information, information into insight and insight into business decisions through reporting visualisations.
• The Data Business Analyst will be able to create the required visualizations and dashboards in Microsoft Power BI, Tableau or Qlik Sense .
• The Data business analyst will ensure the data processes are aligned to Renoir's operational model, governance, development, testing standards and deployment model. The Data Business Analyst must ensure that all activities related to the deliverables are aligned with Renoir's Data Governance Model and best practices.

• Gather and define reporting, data and master data requirements from business processes and users.
• Define specific Master Data requirements to support the implementation of ERP and HCM solutions.
• Proactively identify business challenges in relation to reporting and data.
• Conduct a full lifecycle analysis to include requirements, activities, and design.
• The Data business analysts will develop analysis and reporting capabilities and identify data needs from Renoir's clients.
• Define Data Governance requirements for our clients.
• Develop and implement data analyses, data collection systems and other strategies that optimize data efficiency and quality by using third-party systems from Renoir's vendors.
• Filter and "clean" data by reviewing system reports, printouts, and performance indicators to locate and correct data problems.
• Scrutinises information using data analysis tools to identify, analyse, and interpret trends or patterns in complex data sets.
• Present data findings or translate the data into an understandable document by creating visualizations and dashboards in Microsoft Power BI, Tableau or Qlik Sense, to be presented to business stakeholders to help them interpret and make decisions with the data.
• Acquiring data from primary or secondary data sources and maintaining centralized databases.
• Collaborating with Renoir's Data Transformation team and client stakeholders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance.
• Creating appropriate documentation that allows client stakeholders to understand the steps of the data analysis process.
• Identify new business questions that can add value to Renoir's clients.
• Quantify benefit potential of Data Analytics solutions using ROI frameworks to aid in prioritization of development and definition with the client.

• Bachelor's degree in Computer Science, Computer Engineering, Business Management, or a relevant field.
• At least 4 years of experience as a Data Business Analyst, Business Analyst, or similar role.
• Experience in Enterprise ERP systems. E.g., Oracle Fusion, Microsoft Dynamics 365
• Experience utilizing one of various of the following visualization solutions : Microsoft Power BI, Tableau or Qlik Sense.
• Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
• Ability to translate business requirements into technical and non-technical requirements, lay terms and draft a comprehensive document with the requirements (BRD) along with the Master Data needs.
• Excellent communication and client engagement skills.
• Experience in project management, including planning, execution, and stakeholder management.
• Demonstrated experience in Digital Transformation initiatives.
• Prior experience in a consultancy role is a plus.
• Exposure and proficiency in modern data technologies and cloud environments, with a solid understanding of data management principles and best practices.
• Excellent organizational and analytical abilities, with a proven track record of delivering high-quality results on time.
• Technical expertise regarding data models and reporting packages.
• Experience working in the UI / UX landscape, such as wireframes, prototypes, mock-ups, or whiteboarding to illustrate product usability.
• Understanding of addressing and metadata standards
• An understanding and appreciation of the consultancy lifestyle.
• Experience in the Middle East market and in particular the Kingdom of Saudi Arabia region is preferred.
• Excellent oral and written communication skills in English and ideally in Arabic too .
• Preference will be given to an immediate starter.
• Travelling is required for this role.

Overview

Abu Dhabi , United Arab Emirates • Full time

Business Intelligence Engineer

Job Description :

• Full Time position
• Hybrid Working Model
• Dubai - Abu Dhabi, UAE

As an Engineer, Business Intelligence (BI) you will be operating database cluster and designing various analytical reports at one of Allot’s key accounts. As a BI Engineer, you will be working with different business teams within customers organization, collecting their requests, and create new/update existing BI reports to accommodate business needs. You will also be responsible in monitoring and maintaining database cluster health in optimal condition.

What you will do

• Work with Customer Network/Business teams, collect analytical requirements and create/update BI reports
• Develop new reports proactively based on the best practices from other Allot deployments
• Present the report to end customer
• General services as required including installation of software maintenance updates for database servers and solutions
• Work within customers change management and maintenance window guidelines
• Collaborate with Allot team to follow best practices in report development
• Accountability for Case management and ensuring that they are resolved
• Providing consultative support and mentor other less experienced team members
• Positive contribution towards quality reviews for other colleagues and peers

Requirements

• Bachelor’s Degree in Computer Science, Engineering, or other STEM program
• 5+ years of applicable experience
• Adept at the use of BI reporting tools such as Microstrategy, Power BI, Tableau etc
• Knowledge in database operations and optimization on platforms such as Vertica, Microsoft SQL Server, OracleDB etc
• Knowledge in database query optimization, query profiling, and query performance monitoring tools and techniques
• Creating and maintaining business requirements and other technical documentation
• Commanding knowledge of Unix based operating systems such as Linux, FreeBSD etc
• Excellent technical background with a strong understanding of networking (specifically IP related technologies)
• Good experience in Data communication industry with different operator networks for Wireline (Cable, DSL, FTTH) and/or Wireless (Satellite, Wi-Fi, LTE, GPRS-3G, CDMA-3G, WiMAX, GSM, UMTS,4G and 5G)

Additional Knowledge and Skills

• Experience with programming or scripting languages such as Java, C/C++, Python, Perl etc
• Exposure to and understanding of web application concepts like P2P, VoIP, WAP, MMS, RTSP
• Knowledge of industry models and best practices (eg. Scrum, ITIL etc)
• Experience with modern web applications using Ajax and REST API’s will be advantageous

We will review it and contact you if you are being considered for a position. If you have any other questions, please feel free to contact us at

For a deep dive into Allot’s SMB solutions, we’d like to offer you a free copy of our position paper: Security for SMBs: Threats and Opportunities on the Rise.

Develop advanced artificial intelligence and machine learning models for financial use cases such as credit scoring, anomaly detection, and portfolio optimization. In this role, you will design, develop, and validate sophisticated machine learning models to drive business growth.

• Design and develop data-driven machine learning models to meet strategic business needs
• Collaborate with cross-functional teams to translate business objectives into actionable use cases
• Conduct in-depth exploratory data analysis and feature engineering to inform model development

Join to apply for the Business Intelligence Engineer role at Allot

As an Engineer, Business Intelligence (BI) you will be operating database cluster and designing various analytical reports at one of Allot's key accounts. As a BI Engineer, you will be working with different business teams within customers organization, collecting their requests, and create new/update existing BI reports to accommodate business needs. You will also be responsible in monitoring and maintaining database cluster health in optimal condition.

What You Will Do

• Work with Customer Network/Business teams , collect analytical requirements and create /update BI reports
• Develop new reports proactively based on the best practices from other Allot deployments
• Present the report to end customer
• General services as required including installation of software maintenance updates for database servers and solutions
• Work within customers change management and maintenance window guidelines
• Collaborate with Allot team to follow best practices in report development
• Accountability for Case management and ensuring that they are resolved
• Providing consultative support and mentor other less experienced team members
• Positive contribution towards quality reviews for other colleagues and peers

Requirements:

What Skills You Bring

• Bachelor's Degree in Computer Science, Engineering, or other STEM program
• 5+ years of applicable experience
• Adept at the use of BI reporting tools such as Microstrategy, Power BI , Tableau etc
• Knowledge in data modeling, data schemas
• Knowledge in database operations and optimization on platforms such as Vertica , Microsoft SQL Server, OracleDB etc
• Knowledge in database query optimization, query profiling, and query performance monitoring tools and techniques.
• Creating and maintaining business requirements and other technical documentation.
• Commanding knowledge of Unix based operating systems such as Linux, FreeBSD etc
• Excellent technical background with a strong understanding of networking (specifically IP related technologies)
• Good experience in Data communication industry with different operator networks for Wireline (Cable, DSL, FTTH) and/or Wireless (Satellite, Wi-Fi, LTE, GPRS-3G, CDMA-3G, WiMAX, GSM, UMTS,4G and 5G)

Additional Knowledge And Skills

• Experience with programming or scripting languages such as Java, C/C++, python, Perl etc
• Experience with web technologies (Javascript, HTML5, HTTP, Angular, .)
• Exposure to and understanding of web application concepts like P2P, VoIP, WAP, MMS, RTSP
• Knowledge of industry models and best practices (eg. Scrum, ITIL etc)
• Experience with modern web applications using Ajax and REST API's will be advantageous