data engineer

data scientist

senior data scientist

data analyst

business analytics analyst

data visualization specialist

invygo

<div>
 
 About invygo:
 
 
 
 invygo is the first car as a service platform across emerging markets; we are an app that enables car shoppers to get an all-inclusive monthly car subscription that comes with insurance, maintenance, and more in a seamless app-based experience.
 
 
 The business's vision is to be a true disrupter in the mobility space as the first car-as-a-service provider in emerging markets. Invygo's service offers the ultimate flexibility, allowing customers to subscribe to a car from 1 month to 9 months or more, with the option to switch, cancel, or upgrade at any time. As the global market dynamics shifts, invygo has the opportunity to disrupt the mobility sector across multiple regions.
 
 
 
 About the role:
 
 
 
 At invygo, we are revolutionizing the way people lease cars. As a Data Analyst, you will play a crucial role in ensuring our subscription program remains ahead of the curve and constantly delivers value to our subscribers. You will be part of a dynamic and collaborative team where your ideas and contributions will have a direct impact on the success of our company. Culturally, you need to believe that no challenge is too big to solve and every decision can be data-driven.
 
 
 
 What you will be doing:
 
 
 
 <ul>
 <li>
 Conduct thorough data analysis and interpretation to extract valuable insights and drive informed business decisions.
 </li>
 <li>
 Collaborate with cross-functional teams, including stakeholders, business leaders, and data engineers, to understand business requirements and translate them into data analysis solutions.
 </li>
 <li>
 Design and develop data models, dashboards, and reports to visualize and communicate complex data findings effectively.
 </li>
 <li>
 Identify and define key performance indicators (KPIs) and metrics to measure business performance and track progress towards organizational goals.
 </li>
 <li>
 Gather, clean, and validate data from various sources, ensuring data quality and integrity.
 </li>
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 Perform statistical analysis, predictive modeling to identify patterns, trends, and opportunities
 </li>
 <li>
 Control product changes A/B testing - planning, decision making, effect estimation
 </li>
 <li>
 Stay updated with the latest industry trends, tools, and techniques in data analysis, and apply them to enhance analytical capabilities and drive innovation.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 
 What You Bring to the Table:
 
 
 
 
 <ul>
 <li>
 2+ years of proven experience as a Data Analyst, Product Analyst, or similar role, with a strong focus on data analysis and visualization.
 </li>
 <li>
 Expert at writing SQL queries against large amounts of data, hands on experience with Python is a plus
 </li>
 <li>
 Experience business intelligence and data visualization tools for creating management dashboards.
 </li>
 <li>
 Proficiency in A/B testing and statistical analysis
 </li>
 <li>
 Strong analytical and problem-solving skills with the ability to analyze complex data sets and draw meaningful conclusions.
 </li>
 <li>
 Excellent communication and presentation skills, with the ability to effectively convey complex concepts to both technical and non-technical stakeholders.
 </li>
 <li>
 Ability to work independently and collaboratively in a fast-paced environment.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 Why You'll Love Working with Us
 
 
 
 At invygo, you'll have the autonomy, resources, and support to make big things happen. You'll learn fast, grow faster, and see your impact every single day.
 
 
 Here's what we offer:
 
 
 🚙 Competitive Salary
 
 
 🚙 Employee Stock Options (because we want you to share in our success)
 
 
 🚙 Team and Individual Performance Bonuses
 
 
 🚙 Flexibility: Work from home or abroad
 
 
 🚙 Discounts on invygo's car subscription (yes, your rides just got cooler)
 
 
 🚙 Team Engagement Days filled with collaboration and fun
 
 
 
 🚗 Ready to Drive Change?
 
 
 
 If you're someone who thrives on challenges, enjoys working in a dynamic environment, and wants to make an impact, we'd love to meet you.
</div>

Data Analyst

Confidential Careers

<div>
 
 
 Job Overview:
 
 
 
 We are seeking a Shopify Data Analyst to turn data into actionable insights that drive smarter business decisions. The ideal candidate will analyze e-commerce metrics, build dashboards, and support growth initiatives through data-driven strategies.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Tracks KPIs: sales, conversion rate, average order value, churn.
 </li>
 <li>
 Builds dashboards (Google Looker, Power BI, or Shopify reports).
 </li>
 <li>
 Monitors marketing performance, inventory trends, and customer segments.
 </li>
 <li>
 Supports A/B testing and performance analysis.
 </li>
 <li>
 Advises on pricing, promotions, and retention strategies.
 </li>
 <li>
 Gathers and analyzes data from Shopify and integrated systems.
 </li>
 <li>
 Prepares performance summaries and trend analyses for management.
 </li>
 <li>
 Collaborates with marketing and operations to evaluate campaign ROI and customer lifetime value.
 </li>
 <li>
 Ensures data quality, accuracy, and compliance with data governance standards.
 </li>
 <li>
 Recommends strategies to enhance e-commerce performance based on data findings.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Analytics, Statistics, or related field.
 </li>
 <li>
 3&ndash;5 years of data analysis experience, preferably in an e-commerce setting.
 </li>
 <li>
 Proficiency in SQL, Power BI, or Google Looker Studio.
 </li>
 <li>
 Strong analytical and visualization skills.
 </li>
 <li>
 Familiarity with Shopify Analytics, Google Analytics, and marketing attribution tools.
 </li>
 <li>
 Advanced Excel skills and experience building automated reports.
 </li>
 <li>
 Excellent communication and storytelling with data.
 </li>
 </ul>
</div>

Shopify Data Analyst

Henkel

<div>
 At Henkel, you can be a game changer and craft your career. Unleash your entrepreneurial spirit by bringing your ideas to life within a global team. Our leading brands and technologies, along with our high-performing businesses will provide you with countless opportunities to develop your skills and explore new paths. Your career at Henkel will contribute to a more sustainable future, while you grow within our vibrant, diverse culture of trust and belonging. If you're up for challenging the status quo, join our team of pioneers and make your mark on the future with us.
 
 
 
 Do you dare to make an impact?
 
 
 
 
 Your Role
 
 
 
 <ul>
 <li>
 Generate Value from data by providing relevant analytical insights gathered from data assets. Identifies, analyses, and interprets trends or patterns in complex datasets.
 </li>
 <li>
 Prioritizes information needs, including capturing requirements, building data flows, datasets, reports, and dashboards
 </li>
 <li>
 Automates &amp; maintains new and existing data models: identifies methods that to continuously improve data integrity across data sources
 </li>
 <li>
 Provides quality assurance of imported data. Supports initiatives for data integrity &amp; normalization
 </li>
 <li>
 Keeps up to date with latest industry trends, and proposes new technologies / systems based on research or industry best practices
 
 
 </li>
 </ul>
 
 YOUR SKILLS
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Business informatics, Networks Engineering, or any relevant study
 </li>
 <li>
 2-4 years of relevant work experience
 </li>
 <li>
 Fluent English speaker with excellent communication skills and teamwork abilities
 </li>
 <li>
 Proficient user of MS Office applications (Word, Excel, and PowerPoint)
 </li>
 <li>
 Mandatory Experience in Data Visualization (specifically Power BI) and Python with business acumen.
 </li>
 <li>
 Preferrable experience in Microsoft Azure and SAP Process knowledge with Networking &amp; Opportunity Management Skills
 
 
 </li>
 </ul>
 Henkel is an equal opportunity employer. We look for a diverse team of individuals who possess different backgrounds, experiences, and mindsets.
</div>

Sustainability Data Analyst

<div>
 
 Key Responsibilities for BI/Data Analyst Intern
 
 
 
 <ul>
 <li>
 Data Collection &amp; Cleaning: Gather, clean, and organize large datasets from multiple sources.
 </li>
 <li>
 Data Analysis &amp; Interpretation: Identify patterns, trends, and anomalies using statistical and analytical techniques.
 </li>
 <li>
 Visualization &amp; Reporting: Create dashboards and reports using tools like Power BI, Tableau, or Excel to communicate insights effectively.
 </li>
 <li>
 Database Support: Assist in database design, maintenance, and optimization.
 </li>
 <li>
 Algorithm Development: Support the development of models and algorithms for data analysis.
 </li>
 <li>
 Collaboration: Work with cross-functional teams to define data requirements and deliver actionable insights.
 </li>
 <li>
 Compliance &amp; Data Integrity: Ensure adherence to data governance and regulatory standards.
 
 
 </li>
 </ul>
 
 Technical Knowledge
 
 
 
 <ul>
 <li>
 Tools: Power BI, SQL, Python, Excel (advanced functions), Tableau.
 </li>
 <li>
 Concepts: Data modeling, ETL workflows, statistical analysis, and visualization best practices.
 </li>
 <li>
 Optional: Familiarity with cloud platforms (Azure), automation (VBA, Python scripts), and CI/CD for data pipelines.
 
 
 </li>
 </ul>
 
 Educational Requirements
 
 
 
 <ul>
 <li>
 Enrollment in a Bachelor&rsquo;s or Master&rsquo;s program in Data Science, Computer Science, Statistics, Business Analytics, or related fields.
 </li>
 <li>
 Coursework or certifications in data analysis tools (SQL, Python, Power BI) is highly desirable.
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Strong analytical and problem-solving abilities.
 </li>
 <li>
 Attention to detail and critical thinking.
 </li>
 <li>
 Effective communication for presenting insights to non-technical stakeholders.
 </li>
 <li>
 Ability to work independently and in teams.
 
 
 </li>
 </ul>
 
 Duration &amp; Structure
 
 
 
 <ul>
 <li>
 Typically 8&ndash;12 weeks, often during summer or academic breaks.
 </li>
 <li>
 May include mentorship, hands-on projects, and exposure to real-world BI scenarios.
 </li>
 </ul>
</div>

ETIC, Data Analytics Intern

German International University - GIU

<div>
 
 The
 
 Faculty of Informatics and Computer Science
 
 invites applications for the following position effective February 2026
 
 
 
 
 
 
 Full Professor / Associate Professor / Assistant Professor in Data Science
 
 
 
 
 
 
 
 
 Job profile
 
 
 
 
 
 
 
 We are looking for a personality with proven scientific and professional experience in Data Science. We expect in-depth knowledge in one or more of the following areas: big data analytics, data mining, designing or implementing statistical models, statistical data analysis, probabilistic machine learning, experimental design, visualization of statistical data, etc.
 
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 <ul>
 <li>
 Candidates should hold a Ph.D. or Doctorate in Computer Science, Mathematics, or related field with extensive working experience (at least 3 years)
 </li>
 <li>
 Track record of collaborative research and successful supervision
 </li>
 <li>
 Excellent teaching ability at both the undergraduate and graduate levels
 </li>
 <li>
 High capacity to develop pedagogical innovations and to manage a study program
 </li>
 <li>
 Excellent communication skills (oral, written, presentation)
 </li>
 <li>
 Proficiency in English (oral and written)
 </li>
 </ul>
 
 
 
 
 
 
 
 Successful candidates are expected to be committed to excellence in undergraduate or graduate teaching. Preference will be given to candidates who have a record of accomplishment in independent and applied research.
 
 
 
 
 
 Applications will be reviewed until the position is filled. For best consideration, submit applications by
 
 31st of December, 2025.
 
 
 
 
</div>

Full Professor / Associate Professor / Assistant Professor in Data Science

Abu Dhabi Islamic Bank - Egypt

<div>
 
 
 KEY ACCOUNTABILITIES
 
 
 <ul>
 <li>
 Define configuration specifications and business analysis requirements.
 </li>
 <li>
 Perform quality assurance.
 </li>
 <li>
 Define reporting and alerting requirements.
 </li>
 <li>
 Own and develop relationship with partners, working with them to optimize and enhance our integration.
 </li>
 <li>
 Help design, document and maintain system processes.
 </li>
 <li>
 Report on common sources of technical issues or questions and make recommendations to product team.
 </li>
 <li>
 Communicate key insights and findings to product team.
 </li>
 <li>
 Constantly be on the lookout for ways to improve monitoring, discover issues and deliver better value to the customer.
 </li>
 </ul>
 
 
 
 
 
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 7+ years of experience as a Business Analyst.
 </li>
 <li>
 A degree in IT / Computer Science.
 </li>
 <li>
 Having a good experience in Banking Systems (Banking Core Systems, ACH, Payroll, Payment Hub, Card Management Systems, etc).
 </li>
 <li>
 Proven experience in eliciting requirements and testing.
 </li>
 <li>
 Experience in analysing data to draw business-relevant conclusions and in data visualization techniques and tools.
 </li>
 <li>
 Solid experience in writing SQL queries.
 </li>
 <li>
 Basic knowledge in generating process documentation.
 </li>
 <li>
 Strong written and verbal communication skills including technical writing skills.
 </li>
 </ul>
 
 
</div>

Information Technology Business Analyst

<div>
 
 About This Position
 
 
 
 This position is part of the Global Business Solutions (GBS+), IT Department, supporting Henkel&rsquo;s Adhesive Technologies innovations. The position combines IT expertise with a strong understanding of chemistry, enabling seamless collaboration between technology and product innovation.
 
 
 
 Your Role
 
 
 
 <ul>
 <li>
 Steers projects and activities independently for and with other remote Henkel adhesives innovation locations &amp; Global central IT team.
 </li>
 <li>
 Pilot advanced tools &amp; technologies (cloud services) to design, build and run data-driven solutions contributing to digitalization strategy.
 </li>
 <li>
 Work with stakeholders to identify bottlenecks in existing processes and opportunities to leverage advanced analytics.
 </li>
 <li>
 Responsible for extracting data by various means, data cleansing (manually, semi-automatically, automatically)
 </li>
 <li>
 Performs data pre-processing routines for data ingestion &amp; data reconciliation across systems.
 </li>
 <li>
 Generate Insights and building dashboards using different methods, tools, and platforms while integrating existing and new data sources into the purchasing universe.
 
 
 </li>
 </ul>
 
 YOUR SKILLS
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Network Engineering, Business informatics, Chemistry or any relevant study (background in Chemistry is considered a strong advantage)
 </li>
 <li>
 1-3 years of relevant work experience and good to have Chemistry background
 </li>
 <li>
 Proficient experience using statistical analysis (Python and SQL)
 </li>
 <li>
 Mandatory Experience in Data Visualization (Power BI)
 </li>
 <li>
 Preferrable experience in Microsoft Azure (DevOps, machine learning, data bricks, etc.) &amp; SAP Processes
 </li>
 <li>
 Fluent English speaker with excellent communication skills and teamwork abilities
 </li>
 <li>
 Proficient user of MS Office applications (Word, Excel, and PowerPoint)
 
 
 </li>
 </ul>
 Henkel is an equal opportunity employer. We look for a diverse team of individuals who possess different backgrounds, experiences, and mindsets.
</div>

Innovation Data Analyst

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