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automation engineer

data engineer

Halan - حالا

<div>
 
 Job Overview:
 
 
 We are seeking a talented and motivated Senior Data Engineer with expertise in Scala and Python to join our data engineering team. This individual will play a key role in the design, development, and optimization of our data infrastructure and data pipelines. The ideal candidate has a passion for building scalable, high-performance systems and is eager to broaden their knowledge across the entire data engineering stack, from hardware infrastructure to project development.
 
 
 Key responsibilities:
 
 
 &bull; Collaborate with cross-functional teams to design, develop, and maintain data engineering solutions using Scala, Python, and Apache Spark.
 
 
 &bull; Implementation of new data engineering technologies, frameworks, and tools, such as HDFS, MongoDB, and PostgreSQL, to enhance performance, scalability, and efficiency.
 
 
 &bull; Understand and optimize hardware and resource consumption for data engineering projects.
 
 
 &bull; Develop a deep understanding of hardware infrastructure, including servers, clusters, and distributed systems, to ensure optimal data processing and storage.
 
 
 &bull; Design and architect high-performance, fault-tolerant, and scalable data pipelines.
 
 
 &bull; Conduct research and stay current with the latest advancements in data engineering, hardware technologies, and distributed computing paradigms.
 
 
 &bull; Mentor and guide junior team members, fostering a culture of continuous learning and skill development.
 
 
 &bull; Collaborate with stakeholders to gather requirements, propose technical solutions, and deliver high-quality data engineering projects.
 
 
 Requirements:
 
 
 &bull; 2-3 years of professional experience as a Software Engineer, with a focus on data engineering.
 
 
 &bull; Keen interest in hardware infrastructure, resource consumption optimization, and data engineering project development.
 
 
 &bull; Proven ability to work effectively in an Agile development environment and manage multiple priorities.
 
 
 &bull; Strong problem-solving, analytical thinking, communication, and collaboration skills.
 
</div>

Data Engineer

Servier Egypt

<div>
 Date posted: Oct 16, 2025
 
 
 City: Cairo
 
 
 Country/Region: EG
 
 
 Type of Contract: Full-time Employment / Unlimited
 
 
 Job Requisition ID: 10146
 
 
 Data engineer
 
 
 
 About The Role
 
 
 
 The IS Developer- Data Engineer will be responsible for analyzing user needs to conceive, develop or improve computer programs. They are accountable for software maintenance and development as needed alongside project documentation and testing.
 
 
 
 Core Responsibilities
 
 
 
 <ul>
 <li>
 Analyze software and data to identify and solve issues.
 </li>
 <li>
 Participate in meetings to determine software requirements.
 </li>
 <li>
 Conduct software demonstrations and training.
 </li>
 <li>
 Debug and fix software defects.
 </li>
 <li>
 Develop new or modify existing software.
 </li>
 <li>
 Update project documentation and report time.
 </li>
 <li>
 Provide project updates.
 </li>
 <li>
 Test software and participate in code reviews.
 
 
 </li>
 </ul>
 
 Experience &amp; Qualification
 
 
 
 <ul>
 <li>
 Bachelor's degree in computer science or related field.
 </li>
 <li>
 1-2 years of software development experience.
 </li>
 <li>
 Proficiency in C#, HTML, CSS, JavaScript, and MS SQL.
 </li>
 <li>
 Technical documentation skills.
 </li>
 <li>
 Strong problem-solving abilities.
 </li>
 <li>
 Knowledge of software development life cycle.
 </li>
 <li>
 Excellent communication skills.
 </li>
 <li>
 Ability to work independently and in teams.
 </li>
 <li>
 Proficiency in English.
 </li>
 <li>
 Attention to detail and adaptability.
 
 
 </li>
 </ul>
 
 Job Description
 
 
 
 Candidate Profile
 
 
 Whatever your area of expertise, your work within the Servier Group helps advance therapeutic progress for the benefit of patients. You will be part of teams recognised for their scientific excellence and reach your full potential in a professional environment that encourages you to develop yourself. Tailor-made onboarding journeys, mobility opportunities, quality trainings, responsible management, team spirit... All this and more in a workplace focused on your well-being.
 
 
 At Servier, we are committed to therapeutic progress to serve patient needs. We put the diversity of our employees as a source of richness for the fulfillment of this vocation.
</div>

Data engineer

Contentsquare

<div>
 Contentsquare is the all-in-one experience intelligence platform designed to be easily used by anyone who cares about digital journeys. With our flexible and scalable platform, organizations quickly get a deep understanding of their customers&rsquo; whole online journey.
 
 
 We are a global leader in the experience analytics space, with a growing presence across 15 offices worldwide. We&rsquo;re here to stay&mdash;and we&rsquo;re looking for team members who are excited to drive impact and help us scale even further.
 
 
 Our aim is to create an inclusive workplace where everyone learns and succeeds. Contentsquare has built a community of individuals who are daring, understanding, and deliberate. We invite you to join us in making the complex simpler&mdash;for our customers, their customers, and each other.
 
 
 
 Important note: Be careful of scammers pretending to be from Contentsquare. We will never ask for money or contact you through random texts. For more information, visit our careers blog.
 
 
 
 In the Data Infrastructure team, we collect several billion events per day and query hundreds of terabytes in real time.
 
 
 We&rsquo;re currently hiring for two positions (mid-level and senior) to join our team of passionate and talented engineers, and help design and build the next generation of our data architecture, powering real-time insights at massive scale.
 
 
 Your daily work will consist of:
 
 
 <ul>
 <li>
 Leading large scale projects that involves complex systems with leading edge technologies
 </li>
 <li>
 Thinking of smart data formats and ways of exchanging it to serve the functionalities of the product, while minimizing the cost and increasing performanceIncrease the team's expertise by bringing in new ideas and mentoring other developers by using (but not limited to) some open source technologies such as Scala, Go, Kafka, and ClickHouse.
 
 
 </li>
 </ul>
 Why join ContentSquare's Data Engineering team?
 
 
 <ul>
 <li>
 You are looking for a variety of cool projects, which will redefine analytics and UX with big data
 </li>
 <li>
 You would like to challenge yourself developing distributed infrastructure with a real time and data-intensive environment.
 </li>
 <li>
 You are looking for an environment where you'll have the occasion to be a technical reference on your areas of expertise, all while taking responsibilities on strategical corporate axes and collaborating with your peers.
 
 
 </li>
 </ul>
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Design efficient, data-intensive backend services to collect, process, and store petabytes of data, with a strong focus on performance, scalability, and system behavior under load.
 </li>
 <li>
 Challenge the status quo by redesigning and unifying multiple inherited data pipelines, driving the transition to a streamlined, harmonized data architecture.
 </li>
 <li>
 Investigate, debug, and optimize system behavior across CPU, memory, I/O, and concurrency dimensions as data volumes grow.
 </li>
 <li>
 Lead large-scale projects that involve complex systems and cutting-edge technologies, driving impactful changes across the organization.
 </li>
 <li>
 Develop innovative data formats and exchange mechanisms that optimize functionality while minimizing costs and maximizing performance.
 </li>
 <li>
 Share knowledge and increase the team's expertise by introducing new ideas and mentoring fellow engineers.
 </li>
 <li>
 Contribute to the continuous evolution of the primary data pipeline, addressing growing data volumes and functional requirements.
 </li>
 <li>
 Collaborate closely with cross-functional teams to ensure data solutions align with the organization's strategic goals.
 
 
 </li>
 </ul>
 
 What You Will Need To Succeed
 
 
 
 <ul>
 <li>
 Whether you are a mid-level or senior engineer (4+ years of experience), you have strong fundamentals in computer science and software engineering (data structures, concurrency, memory management, and performance).
 </li>
 <li>
 You have worked with dynamic complex systems in a rich ecosystem with lots of integrations.
 </li>
 <li>
 You have hands-on experience tackling large-scale, high-volume systems, and understand the trade-offs required to make systems scale reliably.
 </li>
 <li>
 You care about production quality, including testing, monitoring, logging, and observability, and you understand why these are critical in data-intensive systems.
 </li>
 <li>
 You have experience with cloud providers such as AWS and Azure, with a comfort in writing infrastructure as code.
 </li>
 <li>
 You have strong communication skills, with the ability to collaborate effectively in a team environment on-site but also in async with people around the world.
 </li>
 <li>
 You have the ability to thrive in a flat team structure, actively contributing to solving technical challenges alongside peers.
 </li>
 <li>
 You are proactive, full of ideas, with a critical yet constructive attitude and a positive approach to bringing thoughtful input.
 
 
 </li>
 </ul>
 Nice to have:
 
 
 <ul>
 <li>
 Proficiency in Go and/or Scala
 </li>
 <li>
 Experience with ClickHouse and/or SingleStore
 </li>
 <li>
 Experience with Kubernetes
 </li>
 <li>
 Experience using Kafka
 
 
 </li>
 </ul>
 
 Why you should join Contentsquare
 
 
 
 We invest in our people through career development, mentorship, social events, philanthropic activities, and competitive benefits. We are always assessing the perks we offer to ensure we&rsquo;re aligned with the employees' needs.
 
 
 Here are a few we want to highlight:
 
 
 <ul>
 <li>
 Virtual onboarding, Hackathon, and various opportunities to interact with your team and global colleagues both on and offsite each year
 </li>
 <li>
 Work flexibility: hybrid and remote work policies
 </li>
 <li>
 Generous paid time-off policy (every location is different)
 </li>
 <li>
 Immediate eligibility for birthing and non-birthing parental leave
 </li>
 <li>
 Wellbeing and Home Office allowances
 </li>
 <li>
 A Culture Crew in every country we&rsquo;re based in to coordinate regular activities for employees to get to know each other and bond outside of work
 </li>
 <li>
 Every full-time employee receives stock options, allowing them to share in the company&rsquo;s success
 </li>
 <li>
 We have multiple Employee Resource Groups, that offer a safe space for individuals who share common identities, life experiences, or allyship to connect, support one another, and passionately advocate for the issues close to their hearts
 </li>
 <li>
 And more benefits tailored to each country
 
 
 </li>
 </ul>
 
 Contentsquare is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
 
 
 
 
 Your personal data is used by Contentsquare for recruitment purposes only. Read our
 
 
 Job Candidate Privacy Notice
 
 
 to find out more about data protection at Contentsquare and your rights. You can exercise your rights by using our dedicated Data Subject Rights Portal
 
 
 here
 
 
 .
 
 
 
 
 Your personal data will be securely stored in our hosting provider&rsquo;s data center in Oregon (US west). We have implemented appropriate transfer mechanisms under applicable data protection laws.
 
</div>

Senior Software Engineer (Streaming/Data-Intensive Systems)

Arrow Electronics

<div>
 
 Position
 
 
 
 Data Scientist / Senior Machine Learning Engineer
 
 
 
 Job Description
 
 
 
 
 Position Overview:
 
 
 
 As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
 </li>
 <li>
 Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
 </li>
 <li>
 Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
 </li>
 <li>
 Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
 </li>
 <li>
 Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
 </li>
 <li>
 Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
 </li>
 <li>
 Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
 </li>
 <li>
 Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
 </li>
 <li>
 Strong knowledge of machine learning frameworks and libraries.
 </li>
 <li>
 Expertise in data preprocessing, feature engineering, and model selection.
 </li>
 <li>
 Familiarity with large language models and AI agent design.
 </li>
 <li>
 Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
 </li>
 <li>
 Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
 </li>
 <li>
 Experience with vectorized databases and unstructured search engines is a plus.
 </li>
 <li>
 A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
 </li>
 <li>
 Publications or contributions to open-source projects are a plus.
 
 
 </li>
 </ul>
 If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
 
 
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Data Scientist / Senior Machine Learning Engineer

Henkel

<div>
 
 About this Position
 
 The Data Scientist enables value creation with data innovations (e.g. Applied data Science, Machine Learning, Artificial Intelligence, Quantitative Research &amp; Statistics) and productionizing data products. The team includes experts in analytics and finance, implementing analytical use cases for Adhesives unit (HAT), from product innovation to customer facing applications. The team is responsible for applying the latest tools and technologies as well as cloud services to design, build and run data driven AI solutions that contribute to Henkel&rsquo;s digitalization strategy.
 
 
 
 What You&acute;ll Do
 
 
 
 <ul>
 <li>
 Solve complex business problems with data; using data scientific tools to find solutions for challenges in the realm of both big and small data: developing custom data models and algorithms to apply to data sets
 </li>
 <li>
 Delivers data science products from idea to deployment
 </li>
 <li>
 Actively participate in cross-functional project teams in the execution of our analytics strategy, exploring emerging technologies and leveraging their full potential
 </li>
 <li>
 Develop processes and tools to monitor and analyze model performance and data accuracy
 </li>
 <li>
 Acts as data science ambassador across business units and functions
 
 
 </li>
 </ul>
 
 What makes you a good fit
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Network Engineering, Business informatics, or any relevant study
 </li>
 <li>
 3-5 years of relevant work experience
 </li>
 <li>
 Expert knowledge in at least one of the following data science areas: supervised or unsupervised machine learning, statistical modeling
 </li>
 <li>
 Business acumen and ability to work closely with non-technical teams
 </li>
 <li>
 High confidence in verbal and written communication.
 </li>
 <li>
 Experience using statistical computer languages (Python and SQL knowledge is a must)
 </li>
 <li>
 Experience analyzing data from 3rd party providers is preferable
 </li>
 <li>
 Microsoft Azure (DevOps, machine learning, databricks etc.) experience is preferable
 
 
 </li>
 </ul>
 
 Some perks of joining Henkel
 
 
 
 <ul>
 <li>
 Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
 </li>
 <li>
 Diverse national and international growth opportunities
 </li>
 <li>
 Globally wellbeing standards with health and preventive care programs
 </li>
 <li>
 Gender-neutral parental leave for a minimum of 8 weeks
 </li>
 <li>
 Employee Share Plan with voluntary investment and Henkel matching shares
 </li>
 <li>
 Comprehensive Health Insurance for employee + dependents
 </li>
 <li>
 Employee Assistance Program provides a wide range of mental health and wellbeing benefits
 
 
 </li>
 </ul>
 At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.
</div>

Data Scientist

<div>
 
 
 Job Title:
 
 Business Intelligence Developer
 
 
 
 Working Model:
 
 Work from home, with office commitment as required
 
 
 
 Location:
 
 Teleperformance Site
 
 
 
 Working Hours:
 
 9 hours through 08:00 AM - 8:00 PM time interval
 
 
 
 Work Week:
 
 Sunday through Thursday / Monday through Friday
 
 
 
 Department:
 
 Digital Services and Transformation
 
 
 
 Reports To:
 
 Business Intelligence Manager
 
 
 
 
 
 
 
 
 
 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):
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and maintain ETLs, stored procedures, and database objects to support reporting and data analysis.
 </li>
 <li>
 Build and manage scalable data solutions across multiple platforms, ensuring data integrity and performance.
 </li>
 <li>
 Collaborate with business stakeholders to gather requirements and deliver actionable BI solutions using SQL and Power BI.
 </li>
 <li>
 Translate business needs into technical specifications for data warehouse design and reporting automation.
 </li>
 <li>
 Monitor and optimize data processes, automation, and reporting cycles to improve efficiency and accuracy.
 </li>
 <li>
 Maintain ticketing systems and ensure timely resolution of data-related requests in line with SLAs.
 </li>
 <li>
 Support continuous improvement initiatives by analyzing trends, identifying opportunities, and contributing to PSP/DMAIC sessions.
 </li>
 <li>
 Participate in agile teams, cross-functional meetings, and change management efforts to ensure smooth data operations.
 </li>
 <li>
 Promote BI adoption and knowledge sharing across departments, acting as a strategic liaison between business and data teams.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications Education and specific Training:
 
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree (or in progress) in Computer Science, Data Science, Engineering, or a related technical field.
 </li>
 <li>
 Strong proficiency in MS SQL Server (2016+), including SQL Server Data Tools, query optimization, and indexing.
 </li>
 <li>
 Solid understanding of data architecture, database management (SQL/NoSQL), and cloud platforms (e.g., AWS, Azure).
 </li>
 </ul>
 
 
 
 
 
 Work Experience:
 
 
 
 
 
 <ul>
 <li>
 
 +2 years of experience
 
 in database analysis, reporting, and BI development using SQL, Power BI, and Excel, preferably in a call center or WFM environment.
 </li>
 <li>
 Strong hands-on experience with Microsoft SQL Server and data modeling concepts (e.g., star/snowflake schema, OLAP).
 </li>
 <li>
 Proficient in Microsoft Office; working knowledge of PowerApps and Flow is a plus.
 </li>
 <li>
 Practical experience with Python for data manipulation and automation.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills &amp; Other Requirements Technical Skills:
 
 
 
 
 
 Required:
 
 
 
 
 
 
 <ul>
 <li>
 Advanced proficiency in Microsoft SQL Server, SSMS, and Power BI (including DAX).
 </li>
 <li>
 Experience with Python for data processing and automation.
 </li>
 <li>
 Solid understanding of data modeling (e.g., star/snowflake schema, OLAP) and statistical analysis.
 </li>
 <li>
 Fluent English communication skills.
 </li>
 </ul>
 
 
 
 
 
 
 Desirable:
 
 
 
 <ul>
 <li>
 Experience with SSIS and SSAS.
 </li>
 <li>
 Knowledge of cloud data tools such as Azure Data Factory, Databricks, Google BigQuery, and DevOps.
 </li>
 <li>
 Understanding of RPA fundamentals.
 </li>
 <li>
 Experience with Visual Basic, Macros, PowerApps, and Flow.
 </li>
 </ul>
 
 
 
 
 
 Competencies and specific skills
 
 
 <ul>
 <li>
 Analytical Ability
 </li>
 <li>
 Achievement Orientation
 </li>
 <li>
 Communication Skills
 </li>
 <li>
 Continuous Improvement Mindset
 </li>
 <li>
 Customer Orientation
 </li>
 <li>
 Initiative Customer
 </li>
 <li>
 Interpersonal Skills
 </li>
 <li>
 Learning Abilities
 </li>
 <li>
 Planning and Organization
 </li>
 <li>
 Problem Solving
 </li>
 <li>
 Management Capability
 </li>
 <li>
 Teamwork
 </li>
 </ul>
 
 
 
 
 
 Decisions Expected
 
 
 <ul>
 <li>
 Extraction Data Flow Designs alongside DWH.
 </li>
 <li>
 Optimal Query Designs.
 </li>
 <li>
 Process Design &amp; Implementation for Data Solutions geared towards the necessity of their Operations teams &amp; Implementation of new Clients.
 </li>
 </ul>
 
 
 Recommendations Expected
 
 
 <ul>
 <li>
 Optimal reporting options for internal operations.
 </li>
 <li>
 SQL Performance improvement suggestions.
 </li>
 <li>
 Internal BI &amp; Data Manager Standard Operating Procedure Optimization.
 </li>
 </ul>
 
 
 
 
 You can Apply Here and Also you can share your resume Mentioning "BI Developer" as a Subject with HR Dina through her Email Address
 
 dina.mohamed.3435@teleperformance.com
 
 
</div>

Business Intelligence Developer

Valeo

<div>
 Valeo est une entreprise mondiale de haute technologie qui con&ccedil;oit des solutions r&eacute;volutionnaires pour r&eacute;inventer la mobilit&eacute;. Nous sommes un &eacute;quipementier partenaire des constructeurs automobiles et des acteurs de la nouvelle mobilit&eacute; dans le monde entier. Notre vision ? Inventer une mobilit&eacute; plus verte et plus s&ucirc;re, gr&acirc;ce &agrave; des solutions ax&eacute;es sur la conduite intuitive et la r&eacute;duction des &eacute;missions de CO2. Nous sommes leaders dans nos domaines d'activit&eacute; et reconnus comme l'une des plus grandes entreprises innovantes au monde.
 
 
 Business Intelligence Analyst
 
 
 Company~** Valeo Internal Automotive Software Egypt
 
 
 
 Job Summary
 
 
 
 Valeo Internal Automotive Software Egypt is seeking a highly motivated and skilled Business Intelligence Analyst to transform complex data into actionable insights. This role will play a crucial part in supporting strategic decision-making and optimizing business performance within our dynamic automotive software environment.
 
 
 Job Responsibilities
 
 
 As a Business Intelligence Analyst, you will be responsible for~
 
 
 <ul>
 <li>
 Designing, developing, and maintaining robust Business Intelligence (BI) solutions, including dashboards, reports, and data visualizations, to support various business units.
 </li>
 <li>
 Performing in-depth Data Analysis to identify trends, patterns, and anomalies in large datasets, providing clear and concise interpretations to stakeholders.
 </li>
 <li>
 Collaborating with cross-functional teams to understand business requirements and translate them into technical specifications for BI solutions.
 </li>
 <li>
 Assisting in the management and optimization of Database Management systems, ensuring data integrity, security, and accessibility.
 </li>
 <li>
 Contributing to the development and implementation of Data Governance policies and procedures to maintain data quality and compliance.
 </li>
 <li>
 Conducting Data Mining activities to uncover hidden insights and opportunities for process improvement and innovation.
 </li>
 <li>
 Developing and maintaining Data Modeling structures to ensure efficient data retrieval and analysis.
 </li>
 <li>
 Applying Data Science techniques and methodologies to solve complex business problems and predict future outcomes.
 </li>
 <li>
 Creating compelling Data Visualization to effectively communicate complex analytical findings to both technical and non-technical audiences.
 </li>
 <li>
 Participating in the design, development, and maintenance of Data Warehousing (DW) solutions to support enterprise-wide reporting and analysis.
 </li>
 <li>
 Writing and optimizing Structured Query Language (SQL) queries to extract, transform, and load data from various sources.
 
 
 </li>
 </ul>
 
 Job Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Information Systems, Statistics, Mathematics, or a related quantitative field.
 </li>
 <li>
 Proven experience as a Business Intelligence Analyst or in a similar data-focused role.
 </li>
 <li>
 Strong proficiency in Business Intelligence (BI) tools and platforms (e.g., Tableau, Power BI, QlikView).
 </li>
 <li>
 Expertise in Data Analysis and strong analytical problem-solving skills.
 </li>
 <li>
 Solid understanding of Database Management principles and practices.
 </li>
 <li>
 Familiarity with Data Governance best practices.
 </li>
 <li>
 Experience with Data Mining techniques and tools.
 </li>
 <li>
 Proficiency in Data Modeling concepts and methodologies.
 </li>
 <li>
 Basic understanding of Data Science principles and applications.
 </li>
 <li>
 Excellent skills in Data Visualization and storytelling with data.
 </li>
 <li>
 Experience with Data Warehousing (DW) concepts and technologies.
 </li>
 <li>
 Advanced proficiency in Structured Query Language (SQL) for data manipulation and querying.
 </li>
 <li>
 Excellent communication, interpersonal, and presentation skills with the ability to explain complex technical concepts to non-technical stakeholders.
 </li>
 <li>
 Ability to work independently and as part of a team in a fast-paced environment.
 
 
 </li>
 </ul>
 
 Position~
 
 
 
 Collaborative Innovation Director/Manager
 
 
 
 D&eacute;partement~
 
 
 
 BG R&amp;D Process
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2025-11-25
 
 
 
 Join Us !
 
 
 Being part of our team, you will join~
 
 
 <ul>
 <li>
 one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development
 </li>
 <li>
 a multi-cultural environment that values diversity and international collaboration
 </li>
 <li>
 more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
 </li>
 <li>
 a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
 
 
 </li>
 </ul>
 More information on Valeo~ https~//www.valeo.com
 
</div>

Business Intelligence Analyst, BI

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