data engineer

senior data analyst

senior data scientist

analyst

analytics engineer ii

data analyst

QNBeyond Plus

<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

Boubyan Digital Factory

<div>
 
 
 Role Description:
 
 
 
 The data analyst will join the team to work to identify patterns of behavior and ensure methods of
 
 
 data ingestion process, component rules, scenarios, and models are working as expected. In addition to this you will analyze and report on data and metrics relating to operations and mitigations. This includes building reporting dashboards that are used at the highest levels of the business and by external regulators. Working with stakeholders in each agile squad to provide insights and present findings to optimize performance by articulating these findings to diverse audiences in a clear, effective manner.
 
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 As you will expect the support a growing business needs is broad, but we hope that the following gives you an idea of the main focus of your attention
 
 <ul>
 <li>
 Managing master data, including creation, updates, and deletion.
 </li>
 <li>
 Managing users and user roles.
 </li>
 <li>
 Provide quality assurance of imported data, working with quality assurance analyst if necessary.
 </li>
 <li>
 Commissioning and decommissioning of data sets.
 </li>
 <li>
 Processing confidential data and information according to guidelines.
 </li>
 <li>
 Data management and ownership: You'll be processing varied data sources including recoding/transforming data, merging and cleaning, weighting etc. to enable us to deliver exceptional data clarity to our clients. You will need to &lsquo;own&rsquo; the data and know it inside and-out.
 </li>
 <li>
 Cross-function collaboration: As the primary &lsquo;owner&rsquo; of the valuable data we collect, you&rsquo;ll need to collaborate with multiple teams.
 </li>
 <li>
 Dive into large, complex datasets and turn your findings into strategies that drive decisions at every company level.
 </li>
 <li>
 Drive continuous improvement initiatives by proactively monitoring performance metrics and conducting in-depth analyses to identify areas for optimization.
 </li>
 <li>
 Champion a culture of data-driven decision-making, empowering teams to leverage insights from analytics to iterate rapidly and contribute to exceptional user experiences.
 </li>
 <li>
 Process improvements: Proactively identifying opportunities to improve efficiencies in these tasks and supporting the implementation of these improvements.
 </li>
 <li>
 Translate intricate data insights into practical business strategies and articulate these findings to diverse audiences in a clear, effective manner
 </li>
 <li>
 .Strategically assess stakeholder requests, priorities based on value, and innovate data driven solutions to enhance decision-making.
 </li>
 <li>
 Strong data, reasoning and analytical skills are essential.
 </li>
 </ul>
 
 
 
 
 
 .
 
 
 
 
 Skills &amp; Experience:
 
 
 <ul>
 <li>
 Will have at least minimum financial services based, data analytics experience.
 </li>
 <li>
 Preferably experience within the fraud and financial crime domain, or card payments.
 </li>
 <li>
 Key tools for Data Analytics understanding: SQL, Tableau, R, Python.
 </li>
 <li>
 You will be comfortable with data querying (relational databases and data lakes using SQL), data interchange (CSV, JSON etc), data analysis (such as Excel and BI tools, maybe even Access), data management and processing using at least simple Python scripts and notebooks (Pandas, NumPy etc).
 </li>
 <li>
 Will have experience working with multiple and large unstructured datasets.
 </li>
 <li>
 The adaptability and eagerness to learn new technologies on the job.
 </li>
 <li>
 You can simplify complex data insights for anyone to understand, whether they're tech-savvy or not.
 </li>
 <li>
 Start-up attitude &ndash; You&rsquo;ll be comfortable in a rapidly changing environment, working with limited resources, and delivering high-quality work at the speed which is necessary for successful business growth. You&rsquo;ll be a self-starter who doesn&rsquo;t need much guidance, who can think fast on their feet and are ready to pivot when required.
 </li>
 <li>
 Familiarity with data tools like Mode, Athena is advantageous.
 </li>
 <li>
 Project and workstream management tools (e.g. JIRA and Confluence) is desirable.
 </li>
 <li>
 The more experience you have with data visualization the better (but it's not a requirement of the role like Tableau, Looker, PowerBI and etc)
 </li>
 </ul>
</div>

Sr Data Analyst

<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

Paymob

<div>
 
 About Paymob
 
 
 Paymob is a leading FinTech company revolutionizing payment solutions in the MENA region. At Paymob, we believe in enabling businesses to thrive by offering secure, innovative, and scalable tools that simplify payments for everyone.
 
 We&rsquo;re proud to power millions of transactions for some of the biggest names in the region, with a team of innovators spread across Egypt, UAE, KSA and Oman.
 
 We foster a value driven culture focused on continuous learning, empowering our people, and collaborating as one global team to create real impact.
 
 
 Job purpose:
 
 
 We are seeking a motivated and detail-oriented fresh graduate who is passionate about data and eager to build a career in analytics. The Junior Data Analyst will support business operations by extracting, cleaning, analyzing, and presenting data from multiple sources to enable informed decision-making and accurate reporting.
 
 
 
 RESPONSIBILITIES
 
 <ul>
 <li>
 Extract reports and data from multiple systems, including Excel files, dashboards, and internal tools.
 </li>
 <li>
 Clean, validate, and organize data to ensure accuracy and consistency.
 </li>
 <li>
 Prepare daily, weekly, and monthly reports for different stakeholders.
 </li>
 <li>
 Identify trends, issues, inconsistencies, and anomalies within datasets.
 </li>
 <li>
 Develop simple dashboards using Excel and/or Power BI.
 </li>
 <li>
 Use Python (Pandas) to automate repetitive reporting and data tasks when applicable.
 </li>
 <li>
 Provide clear insights and summaries alongside reports, not only raw data.
 </li>
 <li>
 Support continuous improvement of reporting processes and data workflows.
 
 
 
 </li>
 </ul>
 
 REQUIREMENTS
 
 <ul>
 <li>
 What We're Looking For:
 </li>
 <li>
 Fresh graduate in a relevant field (Business, Economics, Computer Science, Statistics, Engineering, or related discipline).
 </li>
 <li>
 Good knowledge of Microsoft Excel, including formulas, pivot tables, and reporting functions.
 </li>
 <li>
 Basic knowledge of Python, especially Pandas library.
 </li>
 <li>
 Strong attention to detail and high level of accuracy.
 </li>
 <li>
 Good analytical thinking and problem-solving skills.
 </li>
 <li>
 Basic English communication skills (written and spoken).
 </li>
 <li>
 Basic SQL knowledge.
 </li>
 <li>
 Familiarity with Power BI.
 </li>
 <li>
 Experience with automation tools or scripting.
 
 
 
 </li>
 </ul>
 
 BENEFITS
 
 <ul>
 <li>
 We offer competitive compensation packages and performance driven incentive programs.
 </li>
 <li>
 We offer a flexible hybrid work model that supports both in office collaboration and remote productivity.
 </li>
 <li>
 We invest in continuous career coaching to support your growth and long-term development.
 </li>
 <li>
 &middot;We collaborate across borders, embracing diversity and shared success.
 
 
 </li>
 </ul>
</div>

Junior Data Analyst

RATP Dev Mobility Cairo

<div>
 
 Job Purpose
 
 
 
 The Senior Client Data Analyst serves as the strategic bridge between Finance, Treasury, and Operations, ensuring the integrity of the revenue cycle through advanced data architecture and predictive analytics. Reporting to the Treasury Manager, this role is essential for mitigating financial risk, optimizing working capital, and driving the digital transformation of client-facing financial processes.
 
 
 
 Responsibilities/Duties
 
 
 
 
 Profil de candidat recherch&eacute; :
 
 
 
 
 Advanced Financial Analytics &amp; Risk Mitigation
 
 
 
 <ul>
 <li>
 Lead the analysis of client communications, case histories, and dispute patterns to proactively identify systemic risks and root causes of payment delays.
 </li>
 <li>
 Monitor and analyze complex aging receivables and cash-in data to ensure ledger accuracy and facilitate early detection of credit risks.
 </li>
 <li>
 Evaluate client payment behaviors and historical trends to provide actionable insights that optimize collection strategies and minimize bad debt exposure.
 </li>
 <li>
 Audit the e-invoice lifecycle including issuance, acceptance, and rejection phases to streamline the billing workflow and prevent downstream collection bottlenecks.
 
 
 </li>
 </ul>
 
 Strategic Reporting &amp; Digital Transformation
 
 
 
 <ul>
 <li>
 Architect and automate analytical dashboards (e.g., Power BI, Tableau) that provide real-time visibility into receivables and collection KPIs.
 </li>
 <li>
 Design integrated monitoring systems for back-to-back invoicing to track the full financial lifecycle from supplier cash-out to client cash-in.
 </li>
 <li>
 Engineer data-driven forecasting models that provide the Treasury department with high-precision inputs for global cash flow planning.
 </li>
 <li>
 Innovate reporting frameworks by migrating manual data sets into scalable, automated cloud-based environments to enhance organizational agility.
 
 
 </li>
 </ul>
 
 Cross-Functional Leadership &amp; Operational Excellence
 
 
 
 <ul>
 <li>
 Reconcile high-volume client data across Finance, Treasury, and Operations, spearheading process improvements where data silos or discrepancies are identified.
 </li>
 <li>
 Spearhead data-driven presentations for senior management, banking partners, and key stakeholders to support high-stakes financial negotiations and audits.
 </li>
 <li>
 Direct on-site communications and client-facing meetings by providing empirical evidence to resolve complex disputes and strengthen commercial relationships.
 </li>
 <li>
 Advise the Treasury Manager on day-to-day liquidity shifts and operational tasks, serving as a technical subject matter expert for the broader finance team.
 
 
 </li>
 </ul>
 
 Safety Responsibilities
 
 
 
 <ul>
 <li>
 Promote a positive safety culture within the workplace and attend any safety-related meetings or briefings as required within the job role.
 </li>
 <li>
 Comply with the requirements of RDMC RQHSE Policy and Safety Management System.
 </li>
 <li>
 Be mindful that Safety, Security, and Environmental protection are everyone&rsquo;s responsibility. All staff members are accountable for reporting and intervening in any Safety, Security, or Environmental violations.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 ESSENTIAL QUALIFICATIONS, KNOWLEDGE &amp; EXPERIENCE
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Finance, Data Science, or Business Administration.
 </li>
 <li>
 Professional certification in data visualization (e.g., Microsoft Certified: Power BI Data Analyst Associate) or finance (e.g. CMA) is an advantage.
 
 
 </li>
 </ul>
 
 Knowledge
 
 
 
 <ul>
 <li>
 Advanced command of Power BI (DAX/Power Query), SQL, and ERP systems (SAP, Oracle, or Microsoft Dynamics 365), is an advantage.
 </li>
 <li>
 Deep understanding of Accounts Receivable (AR) lifecycles, GAAP/IFRS standards, and e-invoicing regulatory frameworks.
 </li>
 <li>
 Deep knowledge of data privacy laws.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 5&ndash;7 years of progressive experience in financial data analysis, revenue operations, or treasury analytics.
 
 
 </li>
 </ul>
 
 Desired Behaviors &amp; Experiences
 
 
 
 <ul>
 <li>
 Proven track record of transforming "raw data" into clean, executive-ready narratives that drive decision-making.
 </li>
 <li>
 Ability to challenge the status quo and influence cross-functional stakeholders without direct authority.
 </li>
 <li>
 A forward-thinking approach to AI and Machine Learning applications in predictive financial modeling.
 </li>
 <li>
 High emotional intelligence when managing complex client disputes or high-pressure month-end closing cycles.
 </li>
 <li>
 High level of professionalism, ethical conduct, and integrity.
 </li>
 </ul>
</div>

Sr Client 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

Coca-Cola HBC

<div>
 
 
 Department:
 
 Data Insights &amp; Automation, Digital &amp; Technology Platform Services.
 
 
 
 Location:
 
 Cairo, Egypt.
 
 
 
 
 
 
 
 
 We are looking for a
 
 Product Analyst
 
 to join our Analytics Products Engineering team and support the evolution of
 
 RGM &amp; Finance products
 
 within a portfolio of core AI powered solutions across the Commercial and Finance streams.
 
 
 
 
 
 RGM &amp; Finance products are AI powered decision engines that transform complex commercial and financial data into actionable insights to drive profitable growth. The Promo Advanced Analytics Tool (PAAT) enables deep post event analysis to evaluate promotional effectiveness and ROI, while within the Revenue Growth Management stream, the OBPPC product supports commercial strategy and Pricing Copilot focuses on pricing optimization, enabling more responsive, data driven decisions aligned with market dynamics.
 
 
 
 
 
 In the Finance stream, AI powered analytics transform financial, tax related and contractual data into trusted insights. This includes solutions that support corporate audits through automated validation of CDE contracts, the Tax Management Fees tool that strengthens tax governance by simplifying and digitizing general management fees processes and supporting activities collection for general management fees process, and the Finance A&amp;I Channel Profitability Ecosystem, which integrates financial internal and external data into actionable plans&mdash;enabling disciplined, scalable execution across markets.
 
 
 
 
 
 Within this context, the Product Analyst plays a critical role in turning product vision and design into execution-ready delivery &mdash; ensuring clarity, consistency, and quality across requirements, solution design, and implementation.
 
 
 
 
 
 This role sits at the heart of the product team, working closely with Product Management, Design, Data Science, and Engineering to drive high-quality, scalable, and impactful solutions.
 
 
 
 
 
 
 
 
 
 YOUR KEY RESPONSIBILITIES:
 
 
 
 &bull; Translate design inputs, user journeys, and business needs into clear functional specifications and structured requirements
 
 
 &bull; Support the Product Manager in shaping features, user stories, and acceptance criteria
 
 
 &bull; Ensure requirements are complete, consistent, and aligned with product objectives
 
 
 &bull; Act as the bridge between design intent and technical implementation
 
 
 &bull; Work closely with Data Science teams to define expected outputs, assumptions, and interpretation logic
 
 
 &bull; Validate analytical and AI outputs against business expectations and use cases
 
 
 &bull; Monitor product usage and operations, identifying improvement opportunities
 
 
 &bull; Shape solution designs together with the Product Manager, Architect, and engineering teams.
 
 
 &bull; Define and maintain high‑quality backlog items (Epics, Features, User Stories) and support sprint planning.
 
 
 &bull; Participate in estimation sessions and contribute to effort sizing with engineering team.
 
 
 &bull; Support validation of end-to-end scenarios and product behavior
 
 
 &bull; Identify gaps, inconsistencies, and improvement areas proactively
 
 
 &bull; Partner with engineering, data, and governance teams to align end‑to‑end product delivery.
 
 
 &bull; Maintain documentation (Wikis, flow diagrams, functional specs, Product Changelog).
 
 
 &bull; Identify improvement opportunities based on data, feedback, and performance trends.
 
 
 &bull; Support release readiness, testing validation, and operational handover.
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; Bachelor's degree in Information Technology, Computer Science, or related field.
 
 
 &bull; 3&ndash;5 years of experience in a Product Analyst, Business Analyst, or similar role within digital or data-driven environments
 
 
 &bull; Strong grasp of Agile / SAFe and experience working in cross-functional product teams
 
 
 &bull; Can translate designs and business needs into clear, structured, and testable product specifications
 
 
 &bull; Communicate effectively and manage stakeholders with confidence
 
 
 &bull; Confident in working closely with Product Managers, Designers, Data Scientists, and Engineers
 
 
 &bull; Think analytically, enjoy solving problems, and pay strong attention to detail
 
 
 &bull; Comfortable with ambiguity and can adapt quickly in fast-paced, AI-driven environments
 
 
 &bull; Tech-savvy, curious, and proactive in exploring new tools and approaches
 
 
 &bull; Experience in FMCG, Commercial and Finance domains
 
 
 &bull; Familiar with Python, SQL, and general data concepts
 
 
 &bull; Have exposure to Azure, Databricks, PBI, AI/ML, or data-intensive products
 
 
 &bull; Excellent problem-solving and debugging skills.
 
 
 &bull; Excellent spoken and written English
 
 
 &bull; Communication, organizational and analytical skills
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM:
 
 
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 
 
 We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 
 
 We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 
 
 And although we have so much to be proud of, we always stay humble. We believe the real magic happens &ndash; for us and for you &ndash; when we OPEN UP.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 
</div>

Product Analyst - Revenue Growth Management & AI

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