330 Data Analytics jobs in the United Arab Emirates
Data Analytics Specialist
Posted today
Job Viewed
Job Description
Bachelor of Business Administration(Management)
Nationality
Any Nationality
Vacancy
1 Vacancy
Job Description
Job Description
Job Purpose
At Emirates, we believe in connecting the world, to and through, our global hub in Dubai; and in constantly innovating to ensure our customers "Fly Better". Emirates Group IT thrives on the dynamic nature of technology. Being pioneers in aviation innovation, we're always at the forefront, pushing boundaries. We're on the lookout for exceptional IT professionals to fortify our position as leaders in the industry. Embark on a journey with the world s largest international airline and become a vital part of our cutting-edge information and technology team as Data Analytics Specialist.
Join our Technical Product Management team, where we build effective technology products and services that our customers love. We offer a mix of B2B and B2C products and services in domains such as Digital, Airline and Airport Operations, Group Services, and Commercial. Our goal is to continuously evolve our products, enriching them with features that focus on delivering value to our customers and users. If you are passionate about creating impactful technology products and ensuring their success, we invite you to apply and to contribute to the innovation and excellence at Emirates Group.
As a Data Analytics Specialist you will facilitate and support the data capture, data modelling and testing to enable real-time data- driven decisions that contributes to business success. Identify data capture requirements and, along with inputs from relevant teams across the department, design and implement analytics solutions using proper analytical tools. Support the development and delivery of department data roadmap in collaboration with all internal teams and other relevant internal stakeholders, such as IT and Enterprise Data & Analytics (ED&A) teams.
In This Role You Will
- Understand requirements for tracking, measurement and reporting across assigned department
- Develop and maintain interactive Dashboards with tools like Power BI and MicroStrategy to support various stakeholders with a focus of automated, dynamic self-service data landscape.
- First line responsibility for timely data delivery, dashboard uptime and accuracy and escalate any data quality issues.
- Lead on the manipulation of existing programming logics and structures to fit changing technologies and business demands.
- Work with Enterprise Data & Analytics (ED&A) data engineering team, & Emirates Group IT, to test and validate the data ingestion results and quality to support delivery of the overall agreed plan.
- Build expertise in data engineering tools via languages such as Dataiku / Python, and Data warehouses such as Snowflake, to assist analysts on ad-hoc data capture into Data Warehouse.
- Conduct user acceptance testing (UAT) on data capture by ED&A into assigned department domain at the detailed level, and address data completion and quality issues. Liaise with ED&A data engineers to do the fixes as needed to ensure deployment as per plan and the requirement.
- Understanding of various visualization & data warehousing tools to support various stakeholders with a focus of automated, dynamic self-service data landscape.
- Support the ED&A data governance team in addressing data governance requirements on assigned domain and to build data catalogues. Work with the ED&A Data Governance team to drive Master & Reference Data and Metadata Quality and curate quality content in the Enterprise Data Platform of the Emirates Group.
- Support the team to enhance knowledge sharing across assigned department in understanding and utilizing the Analytics products to make data-backed decisions.
To be considered for the role, you must meet the below requirements:
- Degree or Honours (12+3 or equivalent) in a relevant field, such as Business Administration, Operational Research, Industrial Engineering, Information Technology etc.
- 5+ years of experience within a similar business area where there has been a strong focus on data analytics, with 2 of those years in a supervisory role.
- Business Intelligence Knowledge and deep understanding of Power BI Platform and good knowledge on MicroStrategy tool.
- Good understanding on Data Science, Machine Learning and AI.
- Good understanding of Python, Snowflake and SQL based data integration.
- Good understanding of Microsoft suite of data collaboration and process tools like Power Apps, SharePoint.
- Collaborative contributor in the sense that they can build trusted relationships and wide networks across a range of teams and individuals in order to deliver business benefits.
- Good understanding on Data Governance and its documentation for Developers and users.
- Ability to understand different user groups needs and translate those into workable solutions suitable for all user groups.
- Clear communication skills, written and verbal.
- Experience of working in a multi-cultural expatriate environment.
Disclaimer: Naukrigulf.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at
#J-18808-LjbffrDATA ANALYTICS SPECIALIST
Posted today
Job Viewed
Job Description
Locally available candidates only apply for this job; Jobseekers from any GCC country
Key Responsibilities:- Data Analysis
- Collect and analyze structured and unstructured data from various sources (e.g., CRM, ERP, databases).
- Develop dashboards, KPIs, and reports using tools like Power BI, Tableau, or Excel.
- Interpret data trends and patterns to support business decisions and improve operational efficiency.
- Translate business problems into data-driven solutions.
- Provide actionable insights and strategic recommendations to clients.
- Work with clients to understand data needs and deliver appropriate analysis.
- Ensure data accuracy, integrity, and consistency across reporting tools.
- Maintain documentation and metadata related to data sources, definitions, and logic.
- Collaborate with data architects and Data Engineers to align data pipelines and data modeling for overall data solutions.
- Participate in cross-functional projects including readiness assessment, data gathering, KPI definition, and interaction with clients during data projects.
- Act as a liaison between business and technical teams to define requirements and validate data deliverables.
- Understand statistical methods and models (e.g., regression, forecasting) to predict trends and behavior.
- Support data science or AI/ML projects with exploratory data analysis and feature engineering.
- Required Skills & Competencies:
- Analytical Thinking: Strong problem-solving skills and ability to interpret complex datasets.
- Business Acumen: Understanding of industry-specific processes, KPIs, and challenges.
- Data Tools: Proficient in Excel, SQL, and BI tools like Power BI, Tableau, or Qlik.
- Communication: Able to communicate technical findings to non-technical stakeholders.
- Project Management: Time management and task prioritization skills; familiarity with Agile/Scrum is a plus.
- Technical Skills (Preferred):
- SQL (Intermediate to Advanced)
- Power BI, Tableau, or similar BI platforms
- Excel (Pivot tables, advanced formulas, Power Query)
- Python or R (basic data analysis/scripting, optional)
- CRM or ERP systems knowledge (Salesforce, SAP, Oracle, etc.)
- Data modeling concepts and tools (e.g., Power Pivot, Star/Snowflake schema)
- Educational Requirements:
- Bachelor's degree in Business Analytics, Data Science, Computer Science, Economics, Statistics, or related field.
- Master's degree or certifications (e.g., CBDA, Microsoft DA-100, Tableau Desktop Specialist) are a plus.
Company Industry
- Consulting
- Management Consulting
- Advisory Services
Department / Functional Area
- IT Software
Keywords
- DATA ANALYTICS SPECIALIST
Disclaimer: Naukrigulf.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advise against sharing personal or bank-related information. We also recommend visiting Security Advice for more information. If you suspect any fraud or malpractice, email us at
#J-18808-LjbffrDATA ANALYTICS SPECIALIST
Posted today
Job Viewed
Job Description
Locally available candidates only apply for this job; Jobseekers from any GCC country
Key Responsibilities:- Data Analysis
- Collect and analyze structured and unstructured data from various sources (e.g., CRM, ERP, databases).
- Develop dashboards, KPIs, and reports using tools like Power BI, Tableau, or Excel.
- Interpret data trends and patterns to support business decisions and improve operational efficiency.
- Translate business problems into data-driven solutions.
- Provide actionable insights and strategic recommendations to clients.
- Work with clients to understand data needs and deliver appropriate analysis.
- Ensure data accuracy, integrity, and consistency across reporting tools.
- Maintain documentation and metadata related to data sources, definitions, and logic.
- Collaborate with data architects and Data Engineers to align data pipelines and data modeling for overall data solutions.
- Participate in cross-functional projects including readiness assessment, data gathering, KPI definition, and interaction with clients during data projects.
- Act as a liaison between business and technical teams to define requirements and validate data deliverables.
- Understand statistical methods and models (e.g., regression, forecasting) to predict trends and behavior.
- Support data science or AI/ML projects with exploratory data analysis and feature engineering.
- Required Skills & Competencies:
- Analytical Thinking: Strong problem-solving skills and ability to interpret complex datasets.
- Business Acumen: Understanding of industry-specific processes, KPIs, and challenges.
- Data Tools: Proficient in Excel, SQL, and BI tools like Power BI, Tableau, or Qlik.
- Communication: Able to communicate technical findings to non-technical stakeholders.
- Project Management: Time management and task prioritization skills; familiarity with Agile/Scrum is a plus.
- Technical Skills (Preferred):
- SQL (Intermediate to Advanced)
- Power BI, Tableau, or similar BI platforms
- Excel (Pivot tables, advanced formulas, Power Query)
- Python or R (basic data analysis/scripting, optional)
- CRM or ERP systems knowledge (Salesforce, SAP, Oracle, etc.)
- Data modeling concepts and tools (e.g., Power Pivot, Star/Snowflake schema)
- Educational Requirements:
- Bachelor's degree in Business Analytics, Data Science, Computer Science, Economics, Statistics, or related field.
- Master's degree or certifications (e.g., CBDA, Microsoft DA-100, Tableau Desktop Specialist) are a plus.
Company Industry
- Consulting
- Management Consulting
- Advisory Services
Department / Functional Area
- IT Software
Keywords
- DATA ANALYTICS SPECIALIST
Disclaimer: Naukrigulf.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advise against sharing personal or bank-related information. We also recommend visiting Security Advice for more information. If you suspect any fraud or malpractice, email us at
#J-18808-LjbffrDATA ANALYTICS SPECIALIST
Posted today
Job Viewed
Job Description
Locally available candidates only apply for this job; Jobseekers from any GCC country
Key Responsibilities:- Data Analysis
- Collect and analyze structured and unstructured data from various sources (e.g., CRM, ERP, databases).
- Develop dashboards, KPIs, and reports using tools like Power BI, Tableau, or Excel.
- Interpret data trends and patterns to support business decisions and improve operational efficiency.
- Translate business problems into data-driven solutions.
- Provide actionable insights and strategic recommendations to clients.
- Work with clients to understand data needs and deliver appropriate analysis.
- Ensure data accuracy, integrity, and consistency across reporting tools.
- Maintain documentation and metadata related to data sources, definitions, and logic.
- Collaborate with data architects and Data Engineers to align data pipelines and data modeling for overall data solutions.
- Participate in cross-functional projects including readiness assessment, data gathering, KPI definition, and interaction with clients during data projects.
- Act as a liaison between business and technical teams to define requirements and validate data deliverables.
- Understand statistical methods and models (e.g., regression, forecasting) to predict trends and behavior.
- Support data science or AI/ML projects with exploratory data analysis and feature engineering.
- Required Skills & Competencies:
- Analytical Thinking: Strong problem-solving skills and ability to interpret complex datasets.
- Business Acumen: Understanding of industry-specific processes, KPIs, and challenges.
- Data Tools: Proficient in Excel, SQL, and BI tools like Power BI, Tableau, or Qlik.
- Communication: Able to communicate technical findings to non-technical stakeholders.
- Project Management: Time management and task prioritization skills; familiarity with Agile/Scrum is a plus.
- Technical Skills (Preferred):
- SQL (Intermediate to Advanced)
- Power BI, Tableau, or similar BI platforms
- Excel (Pivot tables, advanced formulas, Power Query)
- Python or R (basic data analysis/scripting, optional)
- CRM or ERP systems knowledge (Salesforce, SAP, Oracle, etc.)
- Data modeling concepts and tools (e.g., Power Pivot, Star/Snowflake schema)
- Educational Requirements:
- Bachelor's degree in Business Analytics, Data Science, Computer Science, Economics, Statistics, or related field.
- Master's degree or certifications (e.g., CBDA, Microsoft DA-100, Tableau Desktop Specialist) are a plus.
Company Industry
- Consulting
- Management Consulting
- Advisory Services
Department / Functional Area
- IT Software
Keywords
- DATA ANALYTICS SPECIALIST
Disclaimer: Naukrigulf.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advise against sharing personal or bank-related information. We also recommend visiting Security Advice for more information. If you suspect any fraud or malpractice, email us at
#J-18808-LjbffrDATA ANALYTICS SPECIALIST
Posted today
Job Viewed
Job Description
Locally available candidates only apply for this job; Jobseekers from any GCC country
Key Responsibilities:- Data Analysis
- Collect and analyze structured and unstructured data from various sources (e.g., CRM, ERP, databases).
- Develop dashboards, KPIs, and reports using tools like Power BI, Tableau, or Excel.
- Interpret data trends and patterns to support business decisions and improve operational efficiency.
- Translate business problems into data-driven solutions.
- Provide actionable insights and strategic recommendations to clients.
- Work with clients to understand data needs and deliver appropriate analysis.
- Ensure data accuracy, integrity, and consistency across reporting tools.
- Maintain documentation and metadata related to data sources, definitions, and logic.
- Collaborate with data architects and Data Engineers to align data pipelines and data modeling for overall data solutions.
- Participate in cross-functional projects including readiness assessment, data gathering, KPI definition, and interaction with clients during data projects.
- Act as a liaison between business and technical teams to define requirements and validate data deliverables.
- Understand statistical methods and models (e.g., regression, forecasting) to predict trends and behavior.
- Support data science or AI/ML projects with exploratory data analysis and feature engineering.
- Required Skills & Competencies:
- Analytical Thinking: Strong problem-solving skills and ability to interpret complex datasets.
- Business Acumen: Understanding of industry-specific processes, KPIs, and challenges.
- Data Tools: Proficient in Excel, SQL, and BI tools like Power BI, Tableau, or Qlik.
- Communication: Able to communicate technical findings to non-technical stakeholders.
- Project Management: Time management and task prioritization skills; familiarity with Agile/Scrum is a plus.
- Technical Skills (Preferred):
- SQL (Intermediate to Advanced)
- Power BI, Tableau, or similar BI platforms
- Excel (Pivot tables, advanced formulas, Power Query)
- Python or R (basic data analysis/scripting, optional)
- CRM or ERP systems knowledge (Salesforce, SAP, Oracle, etc.)
- Data modeling concepts and tools (e.g., Power Pivot, Star/Snowflake schema)
- Educational Requirements:
- Bachelor's degree in Business Analytics, Data Science, Computer Science, Economics, Statistics, or related field.
- Master's degree or certifications (e.g., CBDA, Microsoft DA-100, Tableau Desktop Specialist) are a plus.
Company Industry
- Consulting
- Management Consulting
- Advisory Services
Department / Functional Area
- IT Software
Keywords
- DATA ANALYTICS SPECIALIST
Disclaimer: Naukrigulf.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advise against sharing personal or bank-related information. We also recommend visiting Security Advice for more information. If you suspect any fraud or malpractice, email us at
#J-18808-LjbffrDATA ANALYTICS SPECIALIST
Posted today
Job Viewed
Job Description
Locally available candidates only apply for this job; Jobseekers from any GCC country
Key Responsibilities:- Data Analysis
- Collect and analyze structured and unstructured data from various sources (e.g., CRM, ERP, databases).
- Develop dashboards, KPIs, and reports using tools like Power BI, Tableau, or Excel.
- Interpret data trends and patterns to support business decisions and improve operational efficiency.
- Translate business problems into data-driven solutions.
- Provide actionable insights and strategic recommendations to clients.
- Work with clients to understand data needs and deliver appropriate analysis.
- Ensure data accuracy, integrity, and consistency across reporting tools.
- Maintain documentation and metadata related to data sources, definitions, and logic.
- Collaborate with data architects and Data Engineers to align data pipelines and data modeling for overall data solutions.
- Participate in cross-functional projects including readiness assessment, data gathering, KPI definition, and interaction with clients during data projects.
- Act as a liaison between business and technical teams to define requirements and validate data deliverables.
- Understand statistical methods and models (e.g., regression, forecasting) to predict trends and behavior.
- Support data science or AI/ML projects with exploratory data analysis and feature engineering.
- Required Skills & Competencies:
- Analytical Thinking: Strong problem-solving skills and ability to interpret complex datasets.
- Business Acumen: Understanding of industry-specific processes, KPIs, and challenges.
- Data Tools: Proficient in Excel, SQL, and BI tools like Power BI, Tableau, or Qlik.
- Communication: Able to communicate technical findings to non-technical stakeholders.
- Project Management: Time management and task prioritization skills; familiarity with Agile/Scrum is a plus.
- Technical Skills (Preferred):
- SQL (Intermediate to Advanced)
- Power BI, Tableau, or similar BI platforms
- Excel (Pivot tables, advanced formulas, Power Query)
- Python or R (basic data analysis/scripting, optional)
- CRM or ERP systems knowledge (Salesforce, SAP, Oracle, etc.)
- Data modeling concepts and tools (e.g., Power Pivot, Star/Snowflake schema)
- Educational Requirements:
- Bachelor's degree in Business Analytics, Data Science, Computer Science, Economics, Statistics, or related field.
- Master's degree or certifications (e.g., CBDA, Microsoft DA-100, Tableau Desktop Specialist) are a plus.
Company Industry
- Consulting
- Management Consulting
- Advisory Services
Department / Functional Area
- IT Software
Keywords
- DATA ANALYTICS SPECIALIST
Disclaimer: Naukrigulf.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advise against sharing personal or bank-related information. We also recommend visiting Security Advice for more information. If you suspect any fraud or malpractice, email us at
#J-18808-LjbffrDATA ANALYTICS SPECIALIST
Posted today
Job Viewed
Job Description
Locally available candidates only apply for this job; Jobseekers from any GCC country
Key Responsibilities:- Data Analysis
- Collect and analyze structured and unstructured data from various sources (e.g., CRM, ERP, databases).
- Develop dashboards, KPIs, and reports using tools like Power BI, Tableau, or Excel.
- Interpret data trends and patterns to support business decisions and improve operational efficiency.
- Translate business problems into data-driven solutions.
- Provide actionable insights and strategic recommendations to clients.
- Work with clients to understand data needs and deliver appropriate analysis.
- Ensure data accuracy, integrity, and consistency across reporting tools.
- Maintain documentation and metadata related to data sources, definitions, and logic.
- Collaborate with data architects and Data Engineers to align data pipelines and data modeling for overall data solutions.
- Participate in cross-functional projects including readiness assessment, data gathering, KPI definition, and interaction with clients during data projects.
- Act as a liaison between business and technical teams to define requirements and validate data deliverables.
- Understand statistical methods and models (e.g., regression, forecasting) to predict trends and behavior.
- Support data science or AI/ML projects with exploratory data analysis and feature engineering.
- Required Skills & Competencies:
- Analytical Thinking: Strong problem-solving skills and ability to interpret complex datasets.
- Business Acumen: Understanding of industry-specific processes, KPIs, and challenges.
- Data Tools: Proficient in Excel, SQL, and BI tools like Power BI, Tableau, or Qlik.
- Communication: Able to communicate technical findings to non-technical stakeholders.
- Project Management: Time management and task prioritization skills; familiarity with Agile/Scrum is a plus.
- Technical Skills (Preferred):
- SQL (Intermediate to Advanced)
- Power BI, Tableau, or similar BI platforms
- Excel (Pivot tables, advanced formulas, Power Query)
- Python or R (basic data analysis/scripting, optional)
- CRM or ERP systems knowledge (Salesforce, SAP, Oracle, etc.)
- Data modeling concepts and tools (e.g., Power Pivot, Star/Snowflake schema)
- Educational Requirements:
- Bachelor's degree in Business Analytics, Data Science, Computer Science, Economics, Statistics, or related field.
- Master's degree or certifications (e.g., CBDA, Microsoft DA-100, Tableau Desktop Specialist) are a plus.
Company Industry
- Consulting
- Management Consulting
- Advisory Services
Department / Functional Area
- IT Software
Keywords
- DATA ANALYTICS SPECIALIST
Disclaimer: Naukrigulf.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advise against sharing personal or bank-related information. We also recommend visiting Security Advice for more information. If you suspect any fraud or malpractice, email us at
#J-18808-LjbffrBe The First To Know
About the latest Data analytics Jobs in United Arab Emirates !
DATA ANALYTICS SPECIALIST
Posted today
Job Viewed
Job Description
Locally available candidates only apply for this job; Jobseekers from any GCC country
Key Responsibilities:- Data Analysis
- Collect and analyze structured and unstructured data from various sources (e.g., CRM, ERP, databases).
- Develop dashboards, KPIs, and reports using tools like Power BI, Tableau, or Excel.
- Interpret data trends and patterns to support business decisions and improve operational efficiency.
- Translate business problems into data-driven solutions.
- Provide actionable insights and strategic recommendations to clients.
- Work with clients to understand data needs and deliver appropriate analysis.
- Ensure data accuracy, integrity, and consistency across reporting tools.
- Maintain documentation and metadata related to data sources, definitions, and logic.
- Collaborate with data architects and Data Engineers to align data pipelines and data modeling for overall data solutions.
- Participate in cross-functional projects including readiness assessment, data gathering, KPI definition, and interaction with clients during data projects.
- Act as a liaison between business and technical teams to define requirements and validate data deliverables.
- Understand statistical methods and models (e.g., regression, forecasting) to predict trends and behavior.
- Support data science or AI/ML projects with exploratory data analysis and feature engineering.
- Required Skills & Competencies:
- Analytical Thinking: Strong problem-solving skills and ability to interpret complex datasets.
- Business Acumen: Understanding of industry-specific processes, KPIs, and challenges.
- Data Tools: Proficient in Excel, SQL, and BI tools like Power BI, Tableau, or Qlik.
- Communication: Able to communicate technical findings to non-technical stakeholders.
- Project Management: Time management and task prioritization skills; familiarity with Agile/Scrum is a plus.
- Technical Skills (Preferred):
- SQL (Intermediate to Advanced)
- Power BI, Tableau, or similar BI platforms
- Excel (Pivot tables, advanced formulas, Power Query)
- Python or R (basic data analysis/scripting, optional)
- CRM or ERP systems knowledge (Salesforce, SAP, Oracle, etc.)
- Data modeling concepts and tools (e.g., Power Pivot, Star/Snowflake schema)
- Educational Requirements:
- Bachelor's degree in Business Analytics, Data Science, Computer Science, Economics, Statistics, or related field.
- Master's degree or certifications (e.g., CBDA, Microsoft DA-100, Tableau Desktop Specialist) are a plus.
Company Industry
- Consulting
- Management Consulting
- Advisory Services
Department / Functional Area
- IT Software
Keywords
- DATA ANALYTICS SPECIALIST
Disclaimer: Naukrigulf.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advise against sharing personal or bank-related information. We also recommend visiting Security Advice for more information. If you suspect any fraud or malpractice, email us at
#J-18808-LjbffrData Analytics Director
Posted today
Job Viewed
Job Description
The role of Data Analytics Head is to lead the development and implementation of data-driven strategies to inform business decisions.
Responsibilities include defining, developing, and executing data governance, as well as ensuring management teams have access to necessary data for strategic decision-making.
- Develop and manage key performance indicators (KPIs) for health functions across all business lines and markets.
- Design and enhance operational dashboards using effective data visualization principles.
- Ensure all data points and reports are available through a group data repository.
Required Skills and Qualifications
- Educated at least to 3rd level degree level, Masters preferred.
- At least five years of relevant commercial experience, including leading a complex technical department.
- Strong leadership skills, including ability to identify key talent, coach, develop talent, engage employees, and hold accountable and invested in their results.
Benefits
- Opportunity to work with a diverse and inclusive workforce.
- Chance to apply long-term, big-picture perspective that supports innovation and focuses people on changes that will add value to the business.
Others
This is a senior-level position that requires strong leadership skills and experience in data analytics and operations. If you are looking for a challenging role that offers opportunities for growth and development, please apply.
Audit Data Analytics
Posted today
Job Viewed
Job Description
When you work for us, you commit to a career at one of the largest and most prestigious professional services firms in the world. We have received numerous awards over the last few years, including Best Employer in the Middle East, Best Consulting Firm, and the Middle East Training & Development Excellence Award.
Our PurposeDeloitte makes an impact that matters. Every day we challenge ourselves to do what matters most for clients, for our people, and for society. We serve clients distinctively, bringing innovative insights, solving complex challenges, and unlocking sustainable growth. We inspire our talented professionals to deliver outstanding value to clients, providing an exceptional career experience and an inclusive and collaborative culture. We contribute to society, building confidence and trust in the markets, upholding the integrity of organizations, and supporting our communities.
Our shared values guide the way we behave to make a positive, enduring impact:
- Lead the way
- Serve with integrity
- Take care of each other
- Foster inclusion
- Collaborate for measurable impact
- Understand client business processes, controls, and data in order to apply planned analytics procedures.
- Work closely with core financial audit teams to discuss the results of planned analytics procedures.
- Document step-by-step details of the procedures performed and the test results in a clear manner.
- Communicate effectively with relevant client personnel as well as financial audit teams.
- Proactively seek on-the-job learning opportunities.
- Builds own understanding of our purpose and values; explores opportunities for impact.
- Demonstrates strong commitment to personal learning and development; acts as a brand ambassador to help attract top talent.
- Understands expectations and demonstrates personal accountability for keeping performance on track.
- Actively focuses on developing effective communication and relationship-building skills.
- Understands how their daily work contributes to the priorities of the team and the business.
- BS in Computer Science, Business Computer, or Management Information Systems.
- Ability to solve a business problem using an analytical solution with the assistance from the Analytics Manager and to implement the same.
- Strong analytical skills and at least 1 to 2.5 years of hands-on experience with Audit Command Language (ACL) and/or SQL.
- Experience in extracting data from client systems using custom queries.
- Working knowledge and proficiency with BI visualization tools such as Power BI and/or Tableau.
- Comfortable working with large data sets.
- Understanding of basic financial audit processes, terminologies, and business process controls is an advantage.
- Ability to promote ideas and work effectively with all levels within the organization.
- Ability to multi-task and prioritize work in a dynamic and fast-paced environment.
- Excellent written and oral communication skills.