data analyst

senior data engineer

business analyst

data engineer

data scientist

database analyst

QNBeyond Plus

<div>
 
 About the Role
 
 
 We are seeking an experienced
 
 Temenos Data Analyst
 
 to support data analysis, validation, and reporting initiatives related to our Temenos core banking ecosystem.
 
 
 In this role, you will work closely with engineering, data, and business teams to analyze and validate data extracted from core banking systems, ensuring high levels of data accuracy and consistency.
 
 
 The ideal candidate will have strong experience working with
 
 Temenos data structures
 
 , advanced SQL skills, and the ability to translate business requirements into meaningful analytical outputs.
 
 
 Key Responsibilities
 
 
 Temenos Data Management
 
 <ul>
 <li>
 Configure and manage
 
 Temenos Data Source (TDS)
 
 including provider setup, parameterization, and data imports/exports.
 </li>
 <li>
 Implement business rules using plugins and manage provider configurations.
 </li>
 <li>
 Ensure proper
 
 end-to-end data flow from Temenos core systems
 
 .
 </li>
 </ul>
 
 Data Analysis &amp; Validation
 
 <ul>
 <li>
 Analyze, validate, and reconcile data extracted from Temenos systems.
 </li>
 <li>
 Ensure
 
 data accuracy, completeness, and consistency
 
 across analytical outputs.
 </li>
 <li>
 Investigate data discrepancies and perform
 
 root cause analysis
 
 .
 </li>
 </ul>
 
 Data Querying &amp; Reporting
 
 <ul>
 <li>
 Design and execute complex data queries using
 
 Oracle Database, SQL, and PL/SQL
 
 .
 </li>
 <li>
 Support reporting and analytical requirements across business teams.
 </li>
 </ul>
 
 Data Processing &amp; Automation
 
 <ul>
 <li>
 Support data preparation and transformation using
 
 Python (Pandas)
 
 where required.
 </li>
 <li>
 Automate data-related tasks using scripting tools.
 </li>
 </ul>
 
 Collaboration
 
 <ul>
 <li>
 Work closely with business and reporting teams to translate requirements into
 
 data mappings and analytical outputs
 
 .
 </li>
 <li>
 Participate in
 
 Agile delivery processes
 
 , including backlog refinement and testing activities.
 </li>
 </ul>
 
 Support &amp; Documentation
 
 <ul>
 <li>
 Provide
 
 L2/L3 support for data-related issues
 
 within the Temenos ecosystem.
 </li>
 <li>
 Maintain documentation for data definitions, mappings, and usage guidelines.
 </li>
 </ul>
 
 Required Qualifications
 
 
 Experience
 
 <ul>
 <li>
 
 2&ndash;5 years of experience in data analysis or banking data environments
 
 </li>
 <li>
 Proven experience working with
 
 Temenos core banking data
 
 </li>
 </ul>
 
 Technical Skills
 
 <ul>
 <li>
 Temenos Data Source (TDS)
 </li>
 <li>
 Oracle Database
 </li>
 <li>
 SQL
 </li>
 <li>
 PL/SQL
 </li>
 <li>
 Data validation and reconciliation
 </li>
 </ul>
 
 Data Engineering &amp; Analytics
 
 <ul>
 <li>
 Python (Pandas) for data processing
 </li>
 <li>
 Data mapping and transformation
 </li>
 <li>
 Understanding of
 
 banking data flows and core banking integrations
 
 </li>
 </ul>
 
 Professional Skills
 
 <ul>
 <li>
 Strong analytical and problem-solving abilities
 </li>
 <li>
 Strong documentation and communication skills
 </li>
 <li>
 Experience working in
 
 Agile development environments
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Experience working with
 
 Temenos core banking platforms
 
 </li>
 <li>
 Experience supporting
 
 banking reporting and analytics initiatives
 
 </li>
 <li>
 Familiarity with
 
 data warehousing or analytics platforms
 
 </li>
 <li>
 Experience working in
 
 digital banking or fintech environments
 
 </li>
 </ul>
</div>

Data Analyst - Temenos

<div>
 
 About the Role
 
 
 We are looking for a
 
 Business Data Analyst
 
 to join our Data Management and AI team and support data-driven decision-making across our digital banking platform.
 
 
 In this role, you will work closely with business stakeholders and technical teams to translate business questions into measurable metrics, build dashboards, and ensure that data insights support business objectives.
 
 
 This position is ideal for a
 
 junior analyst
 
 who is passionate about data, analytics, and financial technology and wants to grow within a fast-paced fintech environment.
 
 
 Team Overview
 
 
 The
 
 Data Management and AI team
 
 works across the entire technology stack at QNBeyond Plus, enabling advanced analytics, reporting, and AI-driven insights.
 
 
 Our team collaborates with multiple technology and business teams to manage, analyze, and serve data that helps deliver innovative digital banking experiences for our customers.
 
 
 Key Responsibilities
 
 
 Business &amp; Data Collaboration
 
 <ul>
 <li>
 Act as a bridge between
 
 business stakeholders and data teams
 
 .
 </li>
 <li>
 Gather and document
 
 reporting and analytics requirements
 
 .
 </li>
 <li>
 Translate business questions into
 
 metrics, KPIs, and analytical insights
 
 .
 </li>
 </ul>
 
 Analytics &amp; Reporting
 
 <ul>
 <li>
 Design and develop
 
 dashboards and reports
 
 to support business decisions.
 </li>
 <li>
 Validate that analytical outputs accurately answer business needs.
 </li>
 </ul>
 
 Data Analysis
 
 <ul>
 <li>
 Analyze business data to identify patterns, trends, and opportunities.
 </li>
 <li>
 Support teams in using data to improve customer experience and operational performance.
 </li>
 </ul>
 
 Stakeholder Engagement
 
 <ul>
 <li>
 Lead analytical initiatives and influence stakeholders with data insights.
 </li>
 <li>
 Ensure effective communication between business teams and technical teams.
 </li>
 </ul>
 
 What We Are Looking For
 
 
 You must be:
 
 <ul>
 <li>
 
 Self-motivated
 
 , proactive, and results-driven
 </li>
 <li>
 A
 
 team player
 
 who enjoys collaboration and learning
 </li>
 <li>
 A
 
 problem solver
 
 who approaches challenges with analytical thinking
 </li>
 <li>
 
 Customer-oriented
 
 , committed to delivering valuable insights
 </li>
 <li>
 
 Detail-oriented
 
 , especially regarding data quality and compliance
 </li>
 <li>
 Adaptable and eager to grow in a
 
 fast-paced fintech environment
 
 </li>
 </ul>
 
 Qualifications
 
 
 Technical Skills
 
 <ul>
 <li>
 Strong knowledge of
 
 SQL
 
 </li>
 <li>
 Good understanding of
 
 data modeling concepts
 
 </li>
 <li>
 Knowledge of
 
 business intelligence tools
 
 is a plus
 </li>
 </ul>
 
 Professional Skills
 
 <ul>
 <li>
 Strong
 
 verbal and written communication skills
 
 </li>
 <li>
 Experience with
 
 requirements gathering and documentation
 
 </li>
 <li>
 Basic leadership or initiative-taking capabilities
 </li>
 </ul>
 
 Domain Knowledge
 
 <ul>
 <li>
 Knowledge of
 
 banking or financial services
 
 is a plus
 </li>
 <li>
 Experience working in
 
 regulated environments or PCI/DSS compliance
 
 is advantageous
 </li>
 </ul>
 
 Experience
 
 <ul>
 <li>
 
 2+ years of experience in data analysis, business analysis, or system analysis
 
 </li>
 <li>
 At least
 
 1 year of experience in fintech or regulated environments
 
 is preferred
 </li>
 </ul>
</div>

Business Data Analyst

2S HomeWear

<div>
 
 Job Description
 
 
 
 <ul>
 <li>
 Analyze complex datasets to identify trends, patterns, and actionable insights that support business decision-making.
 </li>
 <li>
 Develop and maintain interactive dashboards and reports using Power BI and Metabase.
 </li>
 <li>
 Write, optimize, and maintain Python scripts for data cleaning, transformation, and analysis.
 </li>
 <li>
 Use SQL to extract, manipulate, and validate data from multiple sources.
 </li>
 <li>
 Collaborate with cross-functional teams to understand business needs and translate them into data solutions.
 </li>
 <li>
 Present findings and insights to stakeholders in a clear, concise, and business-friendly manner.
 </li>
 <li>
 Ensure data accuracy, integrity, and consistency across all reporting tools.
 
 
 </li>
 </ul>
 
 Job Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, or any relevant field.
 </li>
 <li>
 3&ndash;5 years of proven experience as a Data Analyst or in a similar role.
 </li>
 <li>
 Strong proficiency in Python (Pandas, NumPy); experience with Jupyter Notebook is a plus.
 </li>
 <li>
 Hands-on experience with Power BI (dashboard development, DAX functions, and data modeling).
 </li>
 <li>
 Mandatory experience with Metabase (dashboard creation, data exploration, and reporting).
 </li>
 <li>
 Solid knowledge of SQL (writing complex queries, data extraction, and performance optimization).
 </li>
 <li>
 Strong command of English (written and spoken).
 </li>
 <li>
 Ability to transform complex data into meaningful business insights.
 </li>
 <li>
 Excellent analytical thinking and problem-solving skills.
 </li>
 </ul>
</div>

Data analyst

<div>
 
 Position Overview
 
 
 Responsible for managing and optimizing data systems using Microsoft SQL, Python and BI tools to deliver scalable, automated BI solutions. The role involves designing data models, maintaining reporting infrastructure, and translating business needs into actionable insights. Collaborates with cross-functional teams to support decision-making through efficient data delivery and analysis.
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 (may perform other duties as requested, not specifically addressed in this document)
 
 
 &middot; Design, develop, and maintain ETLs, stored procedures, and database objects to support reporting and data analysis.
 
 
 &middot; Build and manage scalable data solutions across multiple platforms, ensuring data integrity and performance.
 
 
 &middot; Collaborate with business stakeholders to gather requirements and deliver actionable BI solutions using SQL and Power BI.
 
 
 &middot; Translate business needs into technical specifications for data warehouse design and reporting automation.
 
 
 &middot; Monitor and optimize data processes, automation, and reporting cycles to improve efficiency and accuracy.
 
 
 &middot; Maintain ticketing systems and ensure timely resolution of data-related requests in line with SLAs.
 
 
 &middot; Support continuous improvement initiatives by analyzing trends, identifying opportunities, and contributing to PSP/DMAIC sessions.
 
 
 &middot; Participate in agile teams, cross-functional meetings, and change management efforts to ensure smooth data operations.
 
 
 &middot; Promote BI adoption and knowledge sharing across departments, acting as a strategic liaison between business and data teams.
 
 
 &middot; Demonstrates strong collaboration skills and readily offers mentorship and support to team members when needed.
 
 
 
 
 
 
 
 
 Required Qualifications Education and specific Training
 
 
 &middot; Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, or a related technical field.
 
 
 &middot; Strong proficiency in MS SQL Server (2016+), including SQL Server Data Tools, query optimization, and indexing.
 
 
 &middot; Solid understanding of data architecture, database management (SQL/NoSQL), and cloud platforms (e.g., AWS, Azure).
 
 
 Work Experience
 
 
 &middot; 5 years and above experience in database analysis, reporting, and BI development using SQL, Power BI, and Excel, preferably in a call center or WFM environment.
 
 
 &middot; Strong hands-on experience with Microsoft SQL Server and data modeling concepts (e.g., star/snowflake schema, OLAP).
 
 
 &middot; Proficient in Microsoft Office; working knowledge of PowerApps and Flow is a plus.
 
 
 &middot; Practical experience with Python for data manipulation and automation.
 
 
 
 
 
 Soft Skills &amp; Other Requirements Technical Skills
 
 
 Required:
 
 
 &middot; Advanced proficiency in Microsoft SQL Server, SSMS, and Power BI (including DAX).
 
 
 &middot; Experience with Python for data processing and automation.
 
 
 &middot; Solid understanding of data modeling (e.g., star/snowflake schema, OLAP) and statistical analysis.
 
 
 &middot; Strong communication skills and proficiency in English.
 
 
 Desirable:
 
 
 &middot; Experience with SSIS and SSAS.
 
 
 &middot; Knowledge of cloud data tools such as Azure Data Factory, Databricks, Google BigQuery, and DevOps.
 
 
 &middot; Understanding of RPA fundamentals.
 
 
 &middot; Experience with Visual Basic, Macros, PowerApps, and Flow.
 
</div>

Senior Business Intelligence Developer

<div>
 
 About the Role
 
 
 We are looking for a
 
 Technical Data Analyst
 
 to join our Data Management and AI team and contribute to building data-driven solutions that power our digital banking platform.
 
 
 In this role, you will work closely with engineering, analytics, and business teams to gather requirements, design data processes, and support data integration initiatives. You will play a key role in enabling accurate data analysis and reporting to support business decisions and enhance the customer banking experience.
 
 
 This is an excellent opportunity for a
 
 junior data professional
 
 looking to grow within a fast-paced fintech environment.
 
 
 Team Overview
 
 
 The
 
 Data Management and AI team
 
 works across the full technology stack within QNBeyond Plus, enabling advanced analytics, data management, and AI-driven capabilities.
 
 
 Our team collaborates with multiple technology and product teams to manage, analyze, and serve data that drives innovative digital banking experiences for our customers.
 
 
 Key Responsibilities
 
 
 Data Analysis &amp; Collaboration
 
 <ul>
 <li>
 Act as a bridge between
 
 technical teams and data stakeholders
 
 .
 </li>
 <li>
 Gather and document
 
 reporting and data requirements
 
 .
 </li>
 <li>
 Collaborate with engineering and analytics teams to support data initiatives.
 </li>
 </ul>
 
 Data Engineering Support
 
 <ul>
 <li>
 Translate integration requirements into
 
 procedures, scripts, and technical documentation
 
 .
 </li>
 <li>
 Assist in designing
 
 data ingestion pipelines
 
 .
 </li>
 </ul>
 
 Data Quality &amp; Verification
 
 <ul>
 <li>
 Design and support
 
 data validation and verification procedures
 
 .
 </li>
 <li>
 Ensure data accuracy, integrity, and reliability across systems.
 </li>
 </ul>
 
 Project Delivery
 
 <ul>
 <li>
 Support data initiatives and drive assigned tasks to completion.
 </li>
 <li>
 Contribute to Agile processes and cross-team collaboration.
 </li>
 </ul>
 
 What We Are Looking For
 
 
 You must be:
 
 <ul>
 <li>
 
 Self-motivated
 
 , driven to take initiative and achieve results
 </li>
 <li>
 A
 
 team player
 
 , eager to collaborate and learn
 </li>
 <li>
 A
 
 problem solver
 
 , focused on identifying solutions
 </li>
 <li>
 
 Customer-oriented
 
 , committed to delivering high-quality results
 </li>
 <li>
 
 Detail-oriented
 
 , especially regarding security and compliance
 </li>
 <li>
 Adaptable to a
 
 growing fintech environment
 
 </li>
 </ul>
 
 Qualifications
 
 
 Technical Skills
 
 <ul>
 <li>
 Strong knowledge of
 
 SQL
 
 </li>
 <li>
 Understanding of
 
 data modeling concepts
 
 </li>
 <li>
 Knowledge of
 
 programming or scripting tools
 
 </li>
 </ul>
 
 Professional Skills
 
 <ul>
 <li>
 Strong
 
 verbal and written communication skills
 
 </li>
 <li>
 Experience with
 
 requirements gathering and documentation
 
 </li>
 </ul>
 
 Domain Knowledge
 
 <ul>
 <li>
 Understanding of
 
 banking or financial services
 
 is a plus
 </li>
 <li>
 Experience in
 
 regulated environments or PCI/DSS compliance
 
 is advantageous
 </li>
 </ul>
 
 Experience
 
 <ul>
 <li>
 
 2+ years of experience in software engineering, data analysis, or system analysis
 
 </li>
 <li>
 At least
 
 1 year of experience in fintech or regulated environments
 
 is preferred
 </li>
 </ul>
 
 
</div>

Data Analyst

Namshi.com

<div>
 
 
 About namshi
 
 
 
 Namshi is the Middle East's largest online fashion shopping hub for women, men, and kids. Since 2011, we have grown to offer an extensive selection of leading brands.
 
 
 
 
 
 We're on a mission to deliver the wardrobe for the region&rsquo;s change. To ignite a new generation of personal expression through style. We are dynamic, bold, fun, and rebellious, just like the wave of change in our new generation. Everyone has style, and we&rsquo;re promoting individualism.
 
 
 
 
 
 We encourage every person to be who they are, express it and live it to the max. Through style, to highlight our offering and emphasize our fashion.
 
 
 
 
 
 Namshi is part of the noon Group.
 
 
 
 
 
 
 What you'll do?
 
 
 
 We are seeking a Data Analyst to join our growing Marketplace Ops team. The ideal candidate should have strong hands-on expertise in SQL and Looker(or any BI tool), with a passion for uncovering insights through data and empowering teams through intuitive dashboards and clear metrics.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Develop and maintain robust data models using SQL and LookML.
 </li>
 <li>
 Design, build, and optimize interactive dashboards using Looker.
 </li>
 <li>
 Perform data analysis to extract actionable insights and support business decision-making.
 </li>
 <li>
 Collaborate with cross-functional stakeholders to understand analytics requirements and deliver impactful solutions.
 </li>
 <li>
 Ensure data accuracy, consistency, and integrity across all reporting and analytics.
 </li>
 <li>
 Proactively identify opportunities for performance improvement and optimization in dashboards and reporting processes.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 :
 
 <ul>
 <li>
 2&ndash;4 years of professional experience working with SQL and Looker
 </li>
 <li>
 Strong proficiency in data modeling concepts and LookML
 </li>
 <li>
 Ability to independently manage tasks, prioritize effectively, and engage multiple stakeholders.
 </li>
 <li>
 Experience working in dynamic, fast-paced, and data-driven environments.
 </li>
 <li>
 
 Familiarity with version control systems (e.g., Git) and techniques for optimizing dashboard performance is a plus.
 
 </li>
 </ul>
 
 
 
 
 
 
 Who You Are
 
 
 :
 
 <ul>
 <li>
 Analytical and detail-oriented with a curiosity to explore data deeply.
 </li>
 <li>
 Self-driven, resourceful, and comfortable working autonomously.
 </li>
 <li>
 Effective communicator who can clearly translate technical findings into actionable insights.
 </li>
 <li>
 Enthusiastic about continuous learning and keeping up with analytics best practices.
 </li>
 <li>
 If you're passionate about data analytics, thrive on providing clarity through data, and enjoy enabling teams to make informed decisions, we'd love to connect with you!
 </li>
 </ul>
 
 
 
 
 
 Who will excel?
 
 
 <ul>
 <li>
 We&rsquo;re looking for people with high standards, who understand that hard work matters.
 </li>
 <li>
 You need to be relentlessly resourceful and operate with a deep bias for action.
 </li>
 <li>
 We need people with the courage to be fiercely original.
 </li>
 </ul>
 
 
</div>

iQor

<div>
 
 
 Summary:
 
 
 
 The Business Intelligence Analyst I plays a foundational role in supporting data-driven decision-making across the organization. This entry-level position is responsible for collecting, analyzing, and visualizing data to uncover trends, monitor performance, and support strategic initiatives. Working closely with senior analysts and business stakeholders, the Analyst contributes to the development of reports, dashboards, and insights that enhance operational efficiency and business outcomes.
 
 
 
 
 
 
 Critical Job Expectations:
 
 
 
 As a member of the Business Intelligence (BI) Team, the Business Intelligence Analyst I is expected to deliver accurate and timely data that informs business decisions. This includes assisting in the development of dashboards, validating data sources, and supporting ad hoc analysis requests. The Analyst must demonstrate accountability by meeting deadlines and maintaining data integrity, while also showing innovation by identifying opportunities to improve reporting processes. Integrity is essential in handling sensitive information and ensuring ethical standards are upheld. The role requires effective communication, collaboration with cross-functional teams, and a commitment to continuous learning and professional growth.
 
 
 
 
 
 
 Duties and Responsibilities:
 
 
 
 Functional
 
 <ul>
 <li>
 Designs and maintains recurring and ad-hoc reports using tools such as Power BI or Excel aligning it with telco business goals and metrics.
 </li>
 <li>
 Extracts, transforms and loads data from defined sources using standard queries and reporting tools while ensuring the accuracy of data to reflect timely and current business information.
 </li>
 <li>
 Collaborates with internal and external stakeholders to identify business intelligence, reporting, and data analysis needs, while fulfilling ad-hoc data requests and proactively developing solutions to reduce recurring inquiries.
 </li>
 <li>
 Reviews and validates report outputs to ensure accuracy, consistency, and completeness; delivers reports in line with defined timelines.
 </li>
 <li>
 Maintains and optimizes data pipelines to support scalable and efficient reporting processes and provides data summaries and visualizations to support stakeholder discussions.
 </li>
 <li>
 Develops and maintains documentation for report logic, data sources, and business definitions.
 </li>
 <li>
 Participates in project milestones focused on data-related tasks such as data mapping and dataset creation.
 </li>
 <li>
 Demonstrates proficiency in Microsoft Excel knowledge and demonstrates basic familiarity with Power BI, SQL, and other analytical tools, sufficient for performing fundamental data extraction and manipulation tasks.
 </li>
 <li>
 Maintains and supports database management platforms, including SharePoint lists, Excel, and SQL Server.
 </li>
 <li>
 Identifies issues in existing reports or reporting processes and recommends basic improvements to enhance accuracy or usability.
 </li>
 <li>
 Conducts regular audits of identity and access data to ensure accuracy and integrity and enforces compliance with internal data standards and governance policies.
 </li>
 <li>
 Prepares basic PowerPoint presentations to support stakeholder needs, applying standard formatting and incorporating charts or visuals to communicate data findings.
 </li>
 </ul>
 
 
 
 
 Organizational
 
 <ul>
 <li>
 Collaborate effectively with Strategic Data &amp; Information Technology teams to support on-going projects and enhance the functionality of database systems.
 </li>
 <li>
 Obtain and analyze both quantitative and qualitative data from business processes to inform, determine, and promote data-driven decisions.
 </li>
 <li>
 Performs other duties and responsibilities as required to support team and organizational objectives.
 </li>
 </ul>
 
 
 
 
 Knowledge, Skills and Abilities:
 
 <ul>
 <li>
 Basic understanding of telecommunications business metrics (e.g., NPS, FCR, AHT/CRT and other network KPIs).
 </li>
 <li>
 Familiarity with data structures, reporting workflows, and BI lifecycle.
 </li>
 <li>
 Awareness of data governance principles, including privacy, compliance, and access control.
 </li>
 <li>
 Knowledge of standard reporting tools and platforms (e.g., Power BI, Excel, SQL).
 </li>
 <li>
 Ability to create and maintain reports and dashboards using Power BI and Excel.
 </li>
 <li>
 Skills in extracting, cleaning, and transforming data from various sources.
 </li>
 <li>
 Capability to interpret data trends, variances, and provide descriptive summaries.
 </li>
 <li>
 Able to work effectively with large data repositories and/or relational databases.
 </li>
 <li>
 Ability to quickly adapt to changes in both technology and business environments.
 </li>
 <li>
 Clear and concise presentation of data findings to non-technical stakeholders.
 </li>
 <li>
 Ability to maintain report logic and source documentation for traceability.
 </li>
 <li>
 Work collaboratively with cross-functional teams and respond effectively to stakeholder requests.
 </li>
 <li>
 Highly self-motivated and directed with keen attention to detail.
 </li>
 </ul>
 
 
 
 
 Special Requiements:
 
 <ul>
 <li>
 Exceptional time management skills to ensure all critical, regular, and ad-hoc reports and data sources are communicated accurately and on time.
 </li>
 <li>
 Strong interpersonal and communication skills, and the ability to work effectively with a wide range of individuals and groups in a diverse community.
 </li>
 </ul>
</div>

Business Analyst

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111 database analyst jobs In Cairo

Data Analyst - Temenos

Business Data Analyst

Data analyst

Senior Business Intelligence Developer

Data Analyst

Data Analyst

Business Analyst