business analyst

financial analyst

data analyst

senior business analyst

finance analyst

business data analyst

JCDecaux Middle East

<div>
 
 
 Job Summary:
 
 
 
 JCDecaux Middle East and Africa is looking for a skilled Business Data Analyst to lead our data-driven initiatives across the region. This position will focus on developing and implementing strategies that leverage data analytics to enhance business growth, streamline operations, and provide valuable insights to stakeholders. The ideal candidate will have a strong analytical background with a proven ability to transform data into actionable insights that support decision-making.
 
 
 
 Key Responsibilities:
 
 
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 Data Analysis &amp; strategy:
 
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 Collaborate with the regional IT director to create and implement a data strategy for Middle East and Africa Region.
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 Embed a governance framework ensuring accountability and data transparency across local teams.
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 Gather, process, and Analyze data from various sources (CRM, Sales system &amp; SAP) to provide insights that drive business decisions.
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 Design and maintain data models, dashboards, and reports that focus on actionable insights.
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 Reporting and Visualization:
 
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 Produce insightful dashboards and reports, ensuring data is presented in an accessible and user-friendly manner.
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 Apply visualization techniques to simplify complex data, turning it into clear, digestible information.
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 Stakeholder Collaboration:
 
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 Partner with cross-functional teams, including sales, marketing, and finance, to understand their needs and deliver tailored data solutions.
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 Conduct training to boost data literacy and empower teams to utilize data effectively.
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 Implement best practices for data management, ensuring security and integrity.
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 Requirements:
 
 
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 Bachelor&rsquo;s degree in computer science, Statistics, Business Administration, or a related field, with an advanced degree preferred.
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 Proven experience in data analysis or a similar role, ideally within the advertising or media industry.
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 Proficiency with data visualization tools such as Tableau, Power BI, or equivalent platforms.
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 Strong experience in SQL Language.
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 Excellent analytical and problem-solving capabilities.
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 Ability to convert complex data into meaningful insights.
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 Strong communication and presentation skills, with the capability to engage diverse stakeholders.
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 Experience in data warehousing, ETL processes, and database management.
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 Knowledge of data governance and best practices in data management.
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 Why Join JCDecaux?
 
 
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 Be part of a leading company in the outdoor advertising industry, known for its innovation and excellence.
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 Work in a dynamic and diverse environment with opportunities for professional growth.
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 Contribute to impactful projects that influence business decisions and strategies in the region.
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</div>

Business Data Analyst

LM EXCHANGE

About the RoleWe are seeking a highly skilled and detail-oriented Data Analyst to join our dynamic team. The ideal candidate will possess strong analytical skills with proven expertise in SQL, Power BI, Tableau, and Advanced Excel.You will be responsible for collecting, analysing, and interpreting data to support business decisions and performance optimisation. Candidates in the UAE are preferredKey Responsibilities<ul><li>Extract, clean, and analyse data from multiple sources using SQL.</li><li>Develop and maintain dashboards and reports using Power BI and Tableau.</li><li>Create and automate advanced Excel models for business reporting and forecasting.</li><li>Identify data trends, provide insights, and recommend actionable strategies.</li><li>Collaborate with cross-functional teams (Finance, Operations, IT) to improve data processes and accuracy.</li><li>Ensure data integrity, consistency, and confidentiality across all systems.</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in Data Analytics, Statistics, Computer Science, or a related field.</li><li>Proven experience (2&ndash;4 years) as a Data Analyst or in a similar analytical role.</li><li>Strong proficiency in SQL, Power BI, Tableau, and Advanced MS Excel (pivot tables, Power Query, macros, data visualisation).</li><li>Excellent analytical, problem-solving, and communication skills.</li><li>Ability to manage multiple priorities and meet deadlines with accuracy.</li></ul>Preferred Skills<ul><li>Knowledge of Python or for data analysis (an advantage).</li><li>Experience with large datasets and database management systems.</li><li>Understanding of business intelligence and data warehousing concepts.</li></ul>Job Type: Full-timePay: AED3,000.00 - AED3,500.00 per month

Data Analyst

Splash Software

<div>About the Role
We are seeking a highly skilled Data Analyst to join our team. The ideal candidate will excel in using data to derive actionable insights, create impactful visualizations, and support decision-making processes across various business functions. This role involves working with large datasets in Elasticsearch and visualizing them in Kibana to monitor performance, identify trends, and ensure data-driven strategies.
Key Responsibilities<ul><li>
Design, develop, and maintain advanced dashboards and reports using Kibana to visualize key metrics and trends.</li><li>
 Analyze large datasets from Elasticsearch to extract actionable insights.</li><li>
Identify anomalies, trends, and patterns in data, providing timely alerts and recommendations to stakeholders.</li><li>
Collaborate with cross-functional teams to understand business needs and translate them into analytical requirements.</li><li>
Develop and implement queries in Elasticsearch to retrieve and process data efficiently.</li><li>
Monitor key performance indicators (KPIs) and create models for performance improvement.</li><li>
Generate periodic and ad-hoc reports for management and other teams, ensuring accuracy and relevance.</li><li>
Document analysis processes, tools, and findings for consistency and reproducibility.</li></ul>
Qualifications<ul><li>
 Bachelors degree in Computer Science, Data Analytics, Statistics, or a related field.</li><li>
Proven experience as a Data Analyst, with expertise in Elasticsearch and Kibana.</li><li>
Strong proficiency in data querying and manipulation using Elasticsearch query language (EQL).</li><li>
Familiarity with data visualization techniques and tools (e.g., Kibana, Tableau, or Power BI).</li><li>
Proficiency in Python, SQL, or similar tools for data analysis and scripting.</li><li>
 Strong analytical and problem-solving skills, with attention to detail.</li><li>
Excellent communication skills to present findings effectively to technical and non-technical stakeholders.</li><li>
Ability to handle and analyze large datasets efficiently.</li></ul>
Preferred Skills<ul><li>
Experience with log and event data analysis.</li><li>
Familiarity with setting up alerts and monitoring mechanisms in Kibana.</li><li>
Knowledge of statistical analysis techniques.</li><li>
Prior experience in high-volume, real-time data environments is a plus.</li></ul></div>

TTOBMA

TTO International, a subdivision of TTO BMA, is seeking a highly analytical and detail-oriented individual to join our team as a Data Analyst. You will be responsible for conducting in-depth data exploration, auditing historical data for accuracy and trends, building dashboards, and generating actionable insights that directly support strategic decision-making across departments. In addition, you will be analyzing market trends and supply-demand dynamics. Your insights and recommendations will be instrumental in helping our organization make informed business decisions for the company and our customers and maintain a competitive edge in the Pulp, Tissue and Recycled Paper industry.Role and Responsibilities<ul><li>&#65279;&#65279;&#65279;Data Collection and Analysis: Collect, organize, and analyze data for multiple pulp, tissue and recovered paper grades, across different geographical areas. Build strong relationships with internal teams and external partners to gather relevant data and insights. This includes internal databases, market reports, and industry publications. Utilize statistical models and financial analysis techniques to identify patterns, trends, and opportunities.</li><li>Data auditing: Audit historical and current data to ensure accuracy, completeness, and consistency. You&rsquo;ll regularly review datasets to verify data integrity&mdash;checking for anomalies, outdated records, duplication, and missing values. This includes tracing data back to its source, validating against business rules, and documenting discrepancies. Your audits will support compliance, reporting accuracy, and process improvements across the organization.</li><li>Apply Data Sense and Logic: Beyond technical checks, you&rsquo;ll use reasoning, pattern recognition, and contextual awareness to spot subtle errors or unlikely trends in data. For example, if a customer appears to have multiple conflicting entries or a sales figure looks inconsistent with historical performance, you'll dig deeper to validate or correct it. Your ability to think critically helps ensure data reflects real-world operations.</li><li>Collaborate Across Teams: work closely with various departments to understand their data needs and translate them into meaningful analysis. Whether it's supporting a marketing campaign, product enhancement, or financial review, you'll provide the insights that help teams make informed, confident decisions.</li><li>Deliver Clear, Actionable Insights: translate complex data results into clear visualizations, executive summaries, and presentations. Whether speaking with senior leadership or frontline teams, your communication will bridge the gap between raw data and actionable business insights.</li></ul>Qualifications and Educational Requirements<ul><li>&#65279;&#65279;Bachelor's degree in economics, finance, business administration, or a related field.</li><li>&#65279;&#65279;Proven experience as Data analyst or in a similar analytical role, preferably within the pulp or related industry.</li><li>&#65279;&#65279;Strong analytical skills with the ability to collect, organize, and interpret large volumes of data.</li><li>&#65279;&#65279;Advanced knowledge of Microsoft Excel, data visualization tools, and statistical software.</li><li>Strong English written and verbal communication skills.</li><li>&#65279;&#65279;Strong attention to detail and problem-solving abilities.</li><li>&#65279;&#65279;Ability to work independently, manage multiple priorities, and meet deadlines.</li><li>This role may require flexibility, and candidates should be willing to work beyond standard working hours to meet deadlines or address urgent issues as needed.</li><li>Candidate must be ready and able to work from home, with a reliable internet connection and a suitable remote work setup.</li></ul>Benefits:&middot; Visa&middot; Medical insurance&middot; Annual Return Ticket&middot; Flexible working arrangementsJob Type: Full-timePay: AED3,000.00 - AED5,000.00 per month

Al-Futtaim

A leading retail group in Dubai is seeking a Business Intelligence Analyst for their Digital Retail team. The ideal candidate will have strong analytical skills and work on creating dashboards, automating reporting processes, and deriving insights from data to enhance strategies and performance. Proficiency in SQL, Power BI, and Python is required, along with 3 to 5 years of experience in the field.

Digital Retail BI Analyst: Data-Driven Growth

Provident Real Estate

<div>
 
 
 Role Overview
 
 
 
 The Data Analyst / Admin will be responsible for ensuring the accuracy, completeness, and seamless flow of lead data across all company platforms. This role acts as the backbone of data integrity by auditing, troubleshooting, and supporting the sales team in managing leads effectively. The position requires strong organizational skills, attention to detail, and the ability to collaborate across departments to optimize workflows.
 
 
 
 
 
 
 Key Responsibilities
 
 
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 Lead Processing &amp; Email Management
 
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 Manage and organize incoming emails to ensure all new leads are processed promptly.
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 Maintain systematic documentation of lead sources and statuses.
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 Lead Integration &amp; Assignment
 
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 Oversee proper integration of leads from Meta, Google, Email, Property Finder, Bayut, and other sources.
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 Ensure accurate assignment of leads to the correct agents and teams.
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 Data Accuracy &amp; Auditing
 
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 Conduct regular audits on CRM data to verify lead accuracy and fill in missing or incomplete details.
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 Monitor data quality and consistency across multiple platforms.
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 Agent &amp; Team Support
 
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 Provide troubleshooting and resolution for lead-related issues faced by agents.
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 Collaborate with sales and marketing teams to streamline workflows and improve lead handling processes.
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 Operational Flexibility
 
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 Support rotational work schedules depending on business needs.
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 Be available to work on rotational offs and, when required, during holidays.
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 Requirements
 
 
 
 
 Experience
 
 
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 Proven experience in data management, administration, or related fields.
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 Prior exposure to real estate or lead management is an advantage.
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 Skills
 
 
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 Strong organizational skills with high attention to detail.
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 Proficiency in CRM systems and lead management platforms.
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 Advanced knowledge of Microsoft Excel / Google Sheets for data analysis.
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 Excellent communication skills for cross-team collaboration.
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 Ability to multitask and work efficiently under pressure.
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 Core Competencies
 
 
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 Analytical and structured approach to problem-solving.
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 Proactive attitude with the ability to identify and resolve data issues quickly.
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 Team-oriented mindset with flexibility to support operational requirements.
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</div>

Dubai Sotheby's International Realty

<div>
 
 We are seeking a highly skilled head of Data Analyst team with expertise in Power BI and a strong background in the real estate industry. The ideal candidate will be responsible for analyzing real estate data, generating insightful reports, and visualizing trends to support business decision-making. This role requires a strong analytical mindset, proficiency in data visualization tools, and a deep understanding of real estate market dynamics.
 
 
 
 Key Responsibilities:
 
 
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 Collect, clean, and analyze real estate data from multiple sources to derive actionable insights.
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 Develop and maintain Power BI dashboards and reports to track key real estate metrics such as property sales, market trends, and financial performance.
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 Collaborate with stakeholders to understand business requirements and translate them into data-driven solutions.
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 Perform data validation and ensure data accuracy across different platforms.
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 Identify patterns, correlations, and market trends using statistical and analytical techniques.
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 Generate ad-hoc and periodic reports to assist in strategic decision-making.
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 Work with databases, SQL, and ETL tools to optimize data processing and automation.
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 Stay updated with industry trends, tools, and best practices to enhance data analysis capabilities.
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 Qualifications &amp; Skills:
 
 
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 Bachelor's/Master&rsquo;s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
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 Proven experience in data analysis within the real estate sector.
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 Strong proficiency in Power BI, including creating dashboards, data modeling, and DAX functions.
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 Hands-on experience with SQL for querying and data manipulation.
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 Proficiency in Excel, Python, or R is a plus.
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 Strong analytical and problem-solving skills with an ability to interpret complex data sets.
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 Excellent communication and presentation skills to convey data-driven insights.
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 Ability to work independently and collaboratively in a fast-paced environment.
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 Preferred Qualifications:
 
 
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 Experience with CRM systems and real estate management software.
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 Knowledge of GIS tools and spatial data analysis.
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 Understanding of financial modeling and real estate investment analytics.
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</div>

Head of BI and Data Analyst (Real Estate)

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Business Data Analyst

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Digital Retail BI Analyst: Data-Driven Growth

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Head of BI and Data Analyst (Real Estate)