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data analyst

Al Ahly Momkn

<div>
 A subsidiary of Al Ahly Capital, Al Ahly Momkn is a fast-evolving Fin-tech company committed to promoting secure, convenient &amp; seamless payment solutions and financial services for business owners, service providers and consumers across Egypt.
 
 
 At Al Ahly Momkn, we foster a culture of innovation, collaboration, and personal growth.
 
 
 
 We believe in empowering our employees to unleash their full potential and make a real impact in their roles. As part of our team, you'll have the opportunity to work on exciting projects, learn from industry experts, and be part of a supportive and inclusive community.
 
 
 
 <ul>
 <li>
 Extract, transform, and validate data from
 
 Oracle Database
 
 to support reporting and analytics needs across the organization.
 
 </li>
 <li>
 Write and optimize complex
 
 SQL
 
 queries and
 
 Python
 
 scripts to clean, validate, and transform data, ensuring accuracy and consistency across data sources.
 
 </li>
 <li>
 Develop and maintain
 
 Power BI
 
 dashboards and reports that visualize key business and financial metrics, serving as the technical counterpart to finance-side reporting.
 
 </li>
 <li>
 Collaborate closely with
 
 key stakeholders
 
 to understand data requirements, align on business logic and metrics definitions, and deliver accurate and actionable insights that meet their reporting needs..
 
 </li>
 <li>
 Work alongside
 
 Data Engineers
 
 to communicate data requirements and ensure pipelines deliver the right data in the right format for analysis and reporting.
 
 </li>
 <li>
 Partner with
 
 BI Analysts
 
 on the team to maintain consistency in dashboard standards, metrics definitions, and reporting best practices.
 
 </li>
 <li>
 Translate finance team data requirements into clear analytical solutions, from data exploration to dashboard delivery.
 
 </li>
 <li>
 Monitor data quality proactively, identifying and resolving inconsistencies that may impact reporting accuracy.
 
 </li>
 <li>
 Document data logic, transformation rules, and dashboard specifications to maintain a transparent and reliable data environment
 
 
 
 
 </li>
 </ul>
 Requirements
 
 
 <ul>
 <li>
 0&ndash;3 years of experience in data analysis, BI, or a related field.
 
 </li>
 <li>
 Proficiency in
 
 SQL
 
 with hands-on experience querying
 
 Oracle Database
 
 or similar RDBMS.
 
 </li>
 <li>
 Experience with
 
 Python
 
 for data manipulation and analysis.
 
 </li>
 <li>
 Experience building and publishing dashboards using
 
 Power BI
 
 .
 
 </li>
 <li>
 Strong communication skills with the ability to work cross-functionally with both technical teams (data engineers, BI analysts) and non-technical stakeholders (finance analysts).
 
 </li>
 <li>
 Familiarity with financial data concepts is a plus.
 
 
 
 
 </li>
 </ul>
 Benefits
 
 
 <ul>
 <li>
 Embark on an exciting journey with the Fin-Tech Experts.
 
 </li>
 <li>
 Join a workplace that actively encourages and supports all talents.
 
 </li>
 <li>
 A support system where you have a safe place to voice your opinion, share feedback, and be your true authentic self.
 
 </li>
 <li>
 Join us in our mission to accelerate financial inclusion and make financial freedom accessible to all.
 
 </li>
 </ul>
</div>

Data Analyst

L'Oréal

<div>
 
 Hello, we&rsquo;re L&rsquo;Or&eacute;al,
 
 
 
 We're not just building brands, we're shaping how the world experiences beauty (and it takes a lot of cool jobs to do it). Intrigued? Keep reading, this might be the opportunity you've been searching for.
 
 
 
 A Day in the Life
 
 
 
 As a Data Analysis Intern, you'll be a key contributor to optimizing L'Or&eacute;al's sales strategies and channel performance. You'll work closely with the sales and marketing teams, using your analytical skills to uncover valuable insights and drive data-driven decision-making.
 
 
 Sales Data Analysis: You'll analyze sales data from various sources (CRM, POS, etc.), identifying trends, patterns, and anomalies to understand sales performance.
 
 
 Opportunity Identification: You'll proactively identify growth opportunities and areas for improvement by analyzing sales data and market trends.
 
 
 Channel Performance Evaluation: You'll track and evaluate the effectiveness of different sales channels (e-commerce, retail, wholesale), recommending strategies to enhance performance.
 
 
 Actionable Insights Generation: You'll translate your data analysis into clear, concise, and actionable insights, communicating your findings through reports and presentations.
 
 
 Data Visualization: You'll create compelling data visualizations (charts, dashboards) to effectively communicate your insights to stakeholders.
 
 
 
 We Are Looking For
 
 
 
 We're seeking a highly motivated and analytical undergraduate student with a passion for data and a strong desire to make a real impact. You are a proactive individual who thrives in a fast-paced environment and is eager to contribute innovative ideas.
 
 
 
 What&rsquo;s In It For You
 
 
 
 A place for you to leave your comfort zone and grow beyond your potential (here, you&rsquo;ll be encouraged to try new things and take risks!)
 
 
 Real responsibility from day 1, there&rsquo;s no sitting on the sidelines at L&rsquo;Or&eacute;al. You'll contribute directly to improving sales strategies and impacting business decisions.
 
 
 An environment where you can contribute to something bigger! You'll be working on real-world projects that directly impact L'Or&eacute;al's success.
 
 
 The opportunity to develop your analytical skills and gain valuable experience in a dynamic, fast-paced corporate setting.
 
 
 
 Who We Are
 
 
 
 We&rsquo;re committed to guaranteeing inclusive recruitment processes and to advocating for hiring and promoting each candidate in an ethical and equitable way.
</div>

Data Analyst Internship

<div>
 A subsidiary of Al Ahly Capital, Al Ahly Momkn is a fast-evolving Fin-tech company committed to promoting secure, convenient &amp; seamless payment solutions and financial services for business owners, service providers and consumers across Egypt.
 
 
 At Al Ahly Momkn, we foster a culture of innovation, collaboration, and personal growth.
 
 
 
 We believe in empowering our employees to unleash their full potential and make a real impact in their roles. As part of our team, you'll have the opportunity to work on exciting projects, learn from industry experts, and be part of a supportive and inclusive community.
 
 
 
 <ul>
 <li>
 Extract, transform, and validate data from
 
 Oracle Database
 
 to support reporting and analytics needs across the organization.
 
 </li>
 <li>
 Write and optimize complex
 
 SQL
 
 queries and
 
 Python
 
 scripts to clean, validate, and transform data, ensuring accuracy and consistency across data sources.
 
 </li>
 <li>
 Develop and maintain
 
 Power BI
 
 dashboards and reports that visualize key business and financial metrics, serving as the technical counterpart to finance-side reporting.
 
 </li>
 <li>
 Collaborate closely with
 
 key stakeholders
 
 to understand data requirements, align on business logic and metrics definitions, and deliver accurate and actionable insights that meet their reporting needs..
 
 </li>
 <li>
 Work alongside
 
 Data Engineers
 
 to communicate data requirements and ensure pipelines deliver the right data in the right format for analysis and reporting.
 
 </li>
 <li>
 Partner with
 
 BI Analysts
 
 on the team to maintain consistency in dashboard standards, metrics definitions, and reporting best practices.
 
 </li>
 <li>
 Translate finance team data requirements into clear analytical solutions, from data exploration to dashboard delivery.
 
 </li>
 <li>
 Monitor data quality proactively, identifying and resolving inconsistencies that may impact reporting accuracy.
 
 </li>
 <li>
 Document data logic, transformation rules, and dashboard specifications to maintain a transparent and reliable data environment
 
 
 
 
 </li>
 </ul>
 Requirements
 
 
 <ul>
 <li>
 3&ndash;6 years of experience in data analysis, BI, or a related field.
 
 </li>
 <li>
 Proficiency in
 
 SQL
 
 with hands-on experience querying
 
 Oracle Database
 
 or similar RDBMS.
 
 </li>
 <li>
 Experience with
 
 Python
 
 for data manipulation and analysis.
 
 </li>
 <li>
 Experience building and publishing dashboards using
 
 Power BI
 
 .
 
 </li>
 <li>
 Strong communication skills with the ability to work cross-functionally with both technical teams (data engineers, BI analysts) and non-technical stakeholders (finance analysts).
 
 </li>
 <li>
 Familiarity with financial data concepts is a plus.
 
 
 
 
 </li>
 </ul>
 Benefits
 
 
 <ul>
 <li>
 Embark on an exciting journey with the Fin-Tech Experts.
 
 </li>
 <li>
 Join a workplace that actively encourages and supports all talents.
 
 </li>
 <li>
 A support system where you have a safe place to voice your opinion, share feedback, and be your true authentic self.
 
 </li>
 <li>
 Join us in our mission to accelerate financial inclusion and make financial freedom accessible to all.
 
 </li>
 </ul>
</div>

Senior Data Analyst

Amazon

<div>
 
 Description
 
 
 
 If you are a supply chain professional with a passion to innovate and contribute in a fast paced growing environment, you might be a good fit to join Amazon.com Supply chain team. This role involves big data handling and cross functional communication. The candidate is expected to have exceptional analytical, planning and written/verbal communication skills along with preferred experience in managing transportation function in retail domain.
 
 
 Key job responsibilities
 
 
 Support the intra-day management of transportation capacities. This will mean you will be monitoring multiple dashboards and receiving multiple change requests from partner teams within a day. You will be expected to deploy the requested changes within the set SLA with high degree of accuracy. Therefore, you will be required to maintain a high bar on attention to detail, ensuring that all requested changes are accurately and fully completed.
 
 
 You are expected to be flexible to work in different shift structures and your schedule can include Night Shifts and Weekends.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 2+ years of data analytics or automation experience
 </li>
 <li>
 Knowledge of data pipelining and extraction using SQL
 </li>
 <li>
 Bachelor's degree
 </li>
 <li>
 Experience analyzing metrics to implement business improvements
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in business, data science, public administration, finance, engineering, human resources or related field, or a MBA and experience in Excel (macros, index, conditional list, arrays, pivots, lookups)
 </li>
 <li>
 Experience effectively gathering information from multiple data sources
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - Souq.com for E-Commerce LLC
 
 
 Job ID: A10423462
</div>

Trans Planning Data Analyst, Supply Chain Transportation Planning

LSEG

<div>
 Job Summary:
 
 
 As a Junior Data Scientist, you will assist in delivering data-driven insights and solutions under the guidance of senior data scientists. This role is focused on applying basic machine learning and data analysis techniques to assist in developing solutions that address customer needs. You will collaborate with multi-functional teams, learning from experienced professionals and helping implement data science-driven products, particularly focusing on data preparation, model implementation, and data analysis tasks.
 
 
 Role &amp; Responsibilities:
 
 
 <ul>
 <li>
 Assist in the development and deployment of machine learning models under the guidance of senior data scientists.
 </li>
 <li>
 Apply basic machine learning techniques, including data preprocessing, feature engineering, and model evaluation, to solve business problems.
 </li>
 <li>
 Collaborate with the team to gather and analyze data, ensuring data quality and consistency.
 </li>
 <li>
 Support the creation of dashboards, reports, and data visualizations to communicate findings.
 </li>
 <li>
 Work with senior team members to understand client requirements and contribute to the design and implementation of data science solutions.
 </li>
 <li>
 Perform exploratory data analysis (EDA) to understand data patterns and trends.
 </li>
 <li>
 Assist in the maintenance and updating of models and algorithms in production.
 </li>
 <li>
 Develop scripts for automating data processing tasks and workflows.
 
 
 </li>
 </ul>
 Qualifications and Experience Required:
 
 
 <ul>
 <li>
 3-5 years experience in data science, machine learning, or a related field, ideally in a financial industry or familiar with finance.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.
 </li>
 <li>
 Basic understanding of machine learning algorithms and their applications.
 </li>
 <li>
 Proficiency in Python with knowledge of libraries such as Pandas, NumPy, and scikit-learn for data analysis and model building.
 </li>
 <li>
 Familiarity with SQL for querying relational databases and performing data manipulation.
 </li>
 <li>
 Understanding of data preprocessing techniques, including handling missing data, scaling, and encoding.
 </li>
 <li>
 Basic knowledge of cloud platforms (AWS, GCP, or Azure) and machine learning frameworks such as TensorFlow or PyTorch.
 </li>
 <li>
 Ability to learn quickly and apply new concepts in data science.
 </li>
 <li>
 Strong analytical and problem-solving skills, with the ability to communicate findings effectively.
 </li>
 <li>
 A passion for learning and staying updated with the latest developments in data science and machine learning.
 </li>
 <li>
 Experience with data visualization tools like Tableau, Power BI, or Matplotlib.
 </li>
 <li>
 Familiarity with NoSQL databases like MongoDB or Cassandra.
 </li>
 <li>
 Knowledge of basic NLP techniques for text data analysis.
 </li>
 <li>
 Interest in gaining exposure to deep learning frameworks like TensorFlow and PyTorch.
 </li>
 <li>
 Interest in gaining exposure to LLMs and agentic frameworks
 
 
 </li>
 </ul>
 LSEG is committed to encouraging a diverse, equitable, an inclusive work environment, ensuring equal opportunities for all employees, regardless of their background. We offer great employee benefits to make sure everyone performs to the best of their abilities. We offer a hybrid working model.
 
 
 
 Career Stage:
 
 
 
 Senior Associate
 
 
 
 London Stock Exchange Group (LSEG) Information:
 
 
 
 Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
 
 
 LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
 
 
 Our purpose is the foundation on which our culture is built. Our values of
 
 Integrity, Partnership
 
 ,
 
 Excellence
 
 and
 
 Change
 
 underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
 
 
 Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
 
 
 We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
 
 
 You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
 
 
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 
 
 Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
 
 
 If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
</div>

Junior Data Scientist

Valeo

<div>
 Key Responsibilities
 
 
 <ul>
 <li>
 Assist in building and updating dashboards and reports using BI tools (e.g., Power BI, Tableau) to track key business metrics.
 </li>
 <li>
 Help clean, organize, and analyze large datasets to identify basic trends and patterns.
 </li>
 <li>
 Support the team in ensuring data accuracy by flagging anomalies or inconsistencies in reports.
 </li>
 <li>
 Convert data findings into clear charts and graphs for presentations to internal stakeholders.
 </li>
 <li>
 Work with cross-functional teams to understand their data needs and document requirements for new projects.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Recent graduate of year 2025 and 2024
 </li>
 <li>
 Educational Background: Bachelor's degree in Computer Science, Information Systems, Statistics, Mathematics, or a related quantitative field.
 </li>
 <li>
 Language Proficiency: Excellent command of both English and Arabic (written and verbal communication is essential). French is a strong plus.
 </li>
 <li>
 Ability to work effectively in a team environment.
 
 
 </li>
 </ul>
 
 Technical Knowledge
 
 
 
 <ul>
 <li>
 SQL: Fundamental understanding of SQL (Select, Join, Group By) is required.
 </li>
 <li>
 Excel: Strong proficiency in Microsoft Excel (Pivot Tables, VLOOKUP).
 </li>
 <li>
 BI Tools: Academic or project-based exposure to visualization tools like Tableau, Power BI, or QlikView is a plus.
 
 
 </li>
 </ul>
 
 Program Details .
 
 
 
 <ul>
 <li>
 Status: Full time.
 </li>
 <li>
 Location: On-site
 </li>
 </ul>
</div>

Graduate In Training Program (GIT), Business Intelligence

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 5268
 
 
 Join the energy revolution with #teamsonnen!
 
 
 At sonnen, we&rsquo;re driven by a clear goal: creating a future powered by clean, affordable energy for everyone. That&rsquo;s why we make our customers independent &ndash; not only from fossil fuels, but also from rising electricity costs.
 
 
 The key to this independence is our intelligent, all-in-one energy system. It combines solar panels, battery storage, energy tariffs, and wallboxes &ndash; all developed and manufactured in Germany.
 
 
 As the first and only provider in Germany, we also connect thousands of home batteries into one shared network: the sonnenVPP, our industry-leading virtual power plant.
 
 
 In short: every day, we&rsquo;re working to shape the energy future. And we&rsquo;d be thrilled to have you join us!
 
 
 We are seeking for a Data Engineer who will empower sonnen&rsquo;s business with data-driven insights, services and products with the help of sonnen&rsquo;s AWS-based analytics platform and by provisioning data from various sources from within and outside the company.
 
 
 We&rsquo;re looking for someone who shares our values, who isn&rsquo;t afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don&rsquo;t hesitate to get in touch.
 
 
 
 What you will do to help drive the energy transition:
 
 
 
 <ul>
 <li>
 You develop and maintain data analysis processes with a variety of structured and unstructured data sources.
 </li>
 <li>
 You implement, test, and maintain infrastructural components of sonnen&rsquo;s analytics platform and deploy and maintain data models.
 </li>
 <li>
 You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
 </li>
 <li>
 You collaborate with the business SMEs and stakeholders to understand their data requirements and support their analysis and modeling needs.
 </li>
 <li>
 You adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Gitlab).
 </li>
 <li>
 You stay up-to-date with emerging trends and technologies in data engineering, and assess their potential applications to our business needs.
 
 
 </li>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 You hold a bachelor&rsquo;s degree in Computer Science or a related technical field
 </li>
 <li>
 You have 3+ years of relevant employment experience (Data Scientist, Engineer or Architect)
 </li>
 <li>
 You have experience with data architecture and warehousing solutions (e.g. AWS Redshift, Databricks)
 </li>
 <li>
 You continue to enhance the existing platform, creating the technical foundation for scalable processes. Both data and result quality are important to you.
 </li>
 <li>
 You have good knowledge of Python, Pandas, SQL, NoSQL, RestAPI
 </li>
 <li>
 You are fluent in English. German is a plus.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Computer Science, Quality Assurance, Database, SQL, Technology
</div>

Data Engineer (m/w/d)

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