CrawlJobs Logo
Coca-Cola HBC Logo Coca-Cola HBC · IT - Software Development

Product Analyst - Data Insights & AI

Egypt, Cairo · Job Posted June 14, 2026
Apply Position
Job Link Share

Job Description

We are looking for a Product Analyst to join our Analytics Products Engineering team and support the evolution of Segmented Execution, one of our core AI-powered commercial products. Segmented Execution is a 360° intelligence engine delivering personalized execution insights that define what to sell, where to focus, and how to activate per outlet. It transforms complex outlet-level and market data into actionable recommendations, enabling truly personalized execution at scale across channels and customers. Within this context, the Product Analyst plays a critical role in turning product vision and design into execution-ready delivery — 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.

Job Responsibility

  • Translate design inputs, user journeys, and business needs into clear functional specifications and structured requirements
  • Support the Product Manager in shaping features, user stories, and acceptance criteria
  • Ensure requirements are complete, consistent, and aligned with product objectives
  • Act as the bridge between design intent and technical implementation
  • Work closely with Data Science teams to define expected outputs, assumptions, and interpretation logic
  • Validate analytical and AI outputs against business expectations and use cases
  • Monitor product usage and operations, identifying improvement opportunities
  • Shape solution designs together with the Product Manager, Architect, and engineering teams
  • Define and maintain high-quality backlog items (Epics, Features, User Stories) and support sprint planning
  • Participate in estimation sessions and contribute to effort sizing with engineering and DevOps teams
  • Support validation of end-to-end scenarios and product behavior
  • Identify gaps, inconsistencies, and improvement areas proactively
  • Partner with UX, engineering, data, and governance teams to align end-to-end product delivery
  • Maintain documentation (Wikis, flow diagrams, functional specs, Product Changelog)
  • Identify improvement opportunities based on data, feedback, and performance trends
  • Support release readiness, testing validation, and operational handover

Requirements

  • Bachelor's degree in Information Technology, Computer Science, or related field
  • 3–5 years of experience in a Product Analyst, Business Analyst, or similar role within digital or data-driven environments
  • Strong grasp of Agile / SAFe and experience working in cross-functional product teams
  • Can translate designs and business needs into clear, structured, and testable product specifications
  • Communicate effectively and manage stakeholders with confidence
  • Confident in working closely with Product Managers, Designers, Data Scientists, and Engineers
  • Think analytically, enjoy solving problems, and pay strong attention to detail
  • Comfortable with ambiguity and can adapt quickly in fast-paced, AI-driven environments
  • Tech-savvy, curious, and proactive in exploring new tools and approaches
  • Familiar with Python, SQL, and general data concepts
  • Have exposure to Azure, Databricks, AI/ML, or data-intensive products
  • Experience in FMCG, commercial, or Route-to-Market domains
  • Good communication skills - able to translate technical concepts for business stakeholders and vice versa
  • Excellent problem-solving and debugging skills
  • Excellent spoken and written English
  • Communication, organizational and analytical skills
Coca-Cola HBC - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Product Analyst - Data Insights & AI

8 matching positions

Ufh Data Product Analyst

This 13 month secondment offers a unique opportunity to play a pivotal role in a...
Location
Location
United Kingdom; India , Port Sunlight; Mumbai
Salary
Salary:
Not provided
unilever.com Logo
Unilever
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience in data analytics, data engineering and data architecture, ideally in FMCG, R&D or consumer product environments
  • Strong capability in data visualization and analytics products (e.g. Power BI) for technical and non‑technical audiences
  • Working knowledge of modern data platforms (e.g. Azure, GCP), Data Transformation (SQL, Python) and data governance practices
  • Experience with laboratory, formulation, sensory or consumer testing data is highly desirable
  • Comfortable operating in matrixed, cross‑functional environments, with strong communication and stakeholder‑management skills
Job Responsibility
Job Responsibility
  • Own fragrance data products end‑to‑end during the secondment period, from data capture and integration through to analytics, dashboards and insight delivery
  • Design and embed pragmatic data architecture, standards and governance for fragrance, formulation and sensory data
  • Enable automated and scalable data capture, particularly from laboratory systems and digital lab tools, reducing manual effort and improving data quality
  • Translate complex datasets into clear, decision‑ready insights, working closely with R&D and business teams to define and track high‑value metrics
  • Act as a bridge between business and technology, partnering with Digital, IT and external providers to deliver analytics, AI and generative design capabilities
  • Champion data adoption and literacy, ensuring tools, dashboards and practices are well embedded by the end of the secondment
What we offer
What we offer
  • friendly and inclusive workplace
  • create possibilities for all
  • Fulltime
Read More
Arrow Right

Senior Product Analyst - Data Products

As a Senior Product Analyst for Data Products, you bring deep expertise in the m...
Location
Location
Germany , Ansbach
Salary
Salary:
Not provided
zalando.de Logo
Zalando
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong experience as a Senior Business Analyst, Product Analyst, or similar role within product, marketplace, or ecommerce environments
  • Deep understanding of how fashion brands make money across different marketplaces, including marketplace business models, KPIs, and brand decision-making processes
  • Strong analytical mindset with the ability to reason about data, ask the right questions, and identify what information is required to support product and business decisions
  • Experience contributing to product discovery and working closely with Product Managers to shape product direction and priorities
  • Experience working with dashboards, reports, and analytical outputs, with the ability to derive, structure, and communicate insights clearly
  • Confidence working with data teams and understanding how data is sourced, structured, and interpreted in a product context
  • Strong communication skills with the ability to translate data into clear product and business narratives, influencing decisions across teams
Job Responsibility
Job Responsibility
  • Act as the fashion and marketplace domain expert, deeply understanding how brands operate, monitor, and steer their business across different marketplaces
  • Partner with Product Managers to shape product discovery, requirements, and prioritization, grounded in real customer and business problems
  • Define and refine product and business-relevant fashion metrics and measures (e.g. GMV, sell-through, availability, pricing, margin, conversion), ensuring alignment with product strategy and measurable outcomes
  • Translate business and product questions into clear analytical and data requirements, specifying what data, dimensions, and granularity are required to generate meaningful and actionable insights
  • Ensure that product features and data outputs are grounded in clear decision-making use cases, connecting insights to real customer workflows and business impact
  • Interpret dashboards, analyses, and insights from a business logic, product usability, and customer perspective, ensuring outputs are actionable, trustworthy, and drive decisions
  • Act as a bridge between Product, Data, and Engineering, aligning on what should be built and why, and ensuring shared understanding of business context and priorities
  • Leverage AI and automation to enhance insight generation, improve product capabilities, and identify new opportunities for data-driven product innovation
What we offer
What we offer
  • Employee shares program
  • 40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
  • 2 paid volunteering days a year
  • Hybrid working model - work where it works for you within Germany or the UK, with occasional office attendance required for moments that matter
  • Work from abroad for up to 30 working days a year
  • 27 days of vacation a year to start for full-time employees
  • Relocation assistance available (subject to prior agreement)
  • Family services, including counseling and support
  • Health and wellbeing options (including Wellhub, formerly Gympass)
  • Mental health support and coaching available
  • Fulltime
Read More
Arrow Right

Senior Product Analyst - Data Products

As a Senior Product Analyst for Data Products, you bring deep expertise in the m...
Location
Location
Germany , Ansbach
Salary
Salary:
Not provided
zalando.se Logo
Zalando Sverige
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong experience as a Senior Business Analyst, Product Analyst, or similar role within product, marketplace, or ecommerce environments
  • Deep understanding of how fashion brands make money across different marketplaces, including marketplace business models, KPIs, and brand decision-making processes
  • Strong analytical mindset with the ability to reason about data, ask the right questions, and identify what information is required to support product and business decisions
  • Experience contributing to product discovery and working closely with Product Managers to shape product direction and priorities
  • Experience working with dashboards, reports, and analytical outputs, with the ability to derive, structure, and communicate insights clearly
  • Confidence working with data teams and understanding how data is sourced, structured, and interpreted in a product context
  • Strong communication skills with the ability to translate data into clear product and business narratives, influencing decisions across teams
Job Responsibility
Job Responsibility
  • Act as the fashion and marketplace domain expert, deeply understanding how brands operate, monitor, and steer their business across different marketplaces
  • Partner with Product Managers to shape product discovery, requirements, and prioritization, grounded in real customer and business problems
  • Define and refine product and business-relevant fashion metrics and measures (e.g. GMV, sell-through, availability, pricing, margin, conversion), ensuring alignment with product strategy and measurable outcomes
  • Translate business and product questions into clear analytical and data requirements, specifying what data, dimensions, and granularity are required to generate meaningful and actionable insights
  • Ensure that product features and data outputs are grounded in clear decision-making use cases, connecting insights to real customer workflows and business impact
  • Interpret dashboards, analyses, and insights from a business logic, product usability, and customer perspective, ensuring outputs are actionable, trustworthy, and drive decisions
  • Act as a bridge between Product, Data, and Engineering, aligning on what should be built and why, and ensuring shared understanding of business context and priorities
  • Leverage AI and automation to enhance insight generation, improve product capabilities, and identify new opportunities for data-driven product innovation
What we offer
What we offer
  • Employee shares program
  • 40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
  • 2 paid volunteering days a year
  • Hybrid working model - work where it works for you within Germany or the UK, with occasional office attendance required for moments that matter
  • Work from abroad for up to 30 working days a year
  • 27 days of vacation a year to start for full-time employees
  • Relocation assistance available (subject to prior agreement)
  • Family services, including counseling and support
  • Health and wellbeing options (including Wellhub, formerly Gympass)
  • Mental health support and coaching available
  • Fulltime
Read More
Arrow Right

Product Data Analyst Intern

You'll join Mirakl Ads (Retail Media), one of Mirakl's strategic high-growth pro...
Location
Location
France , Paris
Salary
Salary:
1200.00 - 1400.00 EUR / Month
mirakl.com Logo
Mirakl
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Currently pursuing a gap year internship, end-of-studies internship, or career change internship (6 months, starting July 2026)
  • Strong analytical mindset with rigorous problem definition, logical reasoning, and structured thinking
  • Solid foundation in statistics: hypothesis testing, confidence intervals, and methodological choices for impact analysis and group comparisons
  • Strong SQL skills
  • Python experience is a plus
  • Experience with exploratory data analysis/preprocessing (data cleaning, normalization, outlier management) is a plus
  • Familiarity with BI tools (Metabase or equivalent) and data visualization best practices is a plus
  • Curious, motivated, and proactive approach to problem-solving, demonstrating initiative in identifying opportunities and driving projects forward
  • Strong teamwork and communication skills to collaborate effectively across cross-functional teams and present complex findings clearly to diverse audiences (technical and non-technical stakeholders)
  • Eager to learn with the ability to adapt quickly to new tools, methodologies, and business contexts in a fast-paced environment
Job Responsibility
Job Responsibility
  • Conduct end-to-end data analysis: define problems, prepare and preprocess data, perform statistical analyses, and validate results to ensure accuracy
  • Quantify the impact of product releases and changes using before/after analyses, sizing, hypothesis testing, and segmentation techniques
  • Define, track, and monitor key performance indicators (KPIs) to measure product success and identify optimization opportunities
  • Coordinate with Data Science teams to assess algorithmic changes and translate technical results into clear business and product recommendations
  • Present insights and recommendations regularly to the product team and management, influencing strategic decisions with high visibility
What we offer
What we offer
  • Meal vouchers (Swile card)
  • 50% public transportation reimbursement
  • Flexible remote work policy
  • Access to company events and learning opportunities
  • Fulltime
Read More
Arrow Right

Product Insights Analyst

This role requires comfort with ambiguity, conflicting signals, and pushing back...
Location
Location
United States , Brooklyn, New York
Salary
Salary:
70000.00 - 110000.00 USD / Year
redroute.com Logo
RedRoute
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Comfortable working with messy, real-world data and ambiguity
  • Able to explain not just what the data shows, but why it matters
  • Brings strong analytical depth, including experience with SQL or similar querying tools and working directly with underlying data
  • Detail-oriented and driven
  • Comfortable asking uncomfortable questions and challenging assumptions
  • Ownership-minded
  • Collaborative and supportive
  • Legally authorized to work in the United States
  • Can meet onsite requirement Monday through Friday in Los Angeles or Brooklyn
Job Responsibility
Job Responsibility
  • Own the understanding of how Flip performs in the real world by analyzing call and usage data
  • Turn messy, ambiguous signals into clear recommendations that shape product priorities
  • Analyze customer call and usage data to understand automation rates, call outcomes, drop-offs, and friction points
  • Identify trends across customers over time
  • Partner closely with Product Managers to bring customer data directly into product decisions
  • Identify gaps between intended product behavior and real customer usage
  • Enable Sales and Customer Success with clear, data-backed narratives
  • Build comparisons, benchmarks, and success stories
What we offer
What we offer
  • Comprehensive healthcare
  • Unlimited vacation
  • Mandatory half week over July 4
  • Full week off at the end of the year
  • Equity
  • Fulltime
Read More
Arrow Right

Senior Product Analyst - Data Governance

We are a global team of innovators and pioneers dedicated to shaping the future ...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
newrelic.com Logo
New Relic
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in quantitative field (Business, Economics, Statistics, Computer Science, Engineering or related field) and 6 years experience, with at least 2 years in Product Analytics
  • Advanced proficiency in SQL and Python, and in building scalable reporting in tools like Tableau or Looker
  • Proven experience in data governance, including defining data standards, improving data quality, and managing metadata
  • Proven ability to independently lead end-to-end analytics (building pipelines, data modeling, generating and synthesizing insights)
  • Demonstrated history distilling complex findings into precise, actionable insights for executive leadership
  • Experience leveraging AI-assisted workflows (e.g., GitHub Copilot, LLMs) to accelerate code development, automate documentation, or enhance data exploration
  • Practical experience applying statistical methods (such as regression, classification, or time-series analysis) to solve real-world business problems and validate product hypotheses
Job Responsibility
Job Responsibility
  • Establish and advocate for data governance best practices, ensuring telemetry data is standardized, documented, and reliable across the product suite
  • Conduct in-depth data analysis to identify trends, patterns, user behaviors and corresponding business impact to inform product development decisions
  • Develop and maintain a balanced set of KPIs and performance metrics that assess the success of product initiatives, including product adoption, revenue impact, user and customer retention
  • Utilize various data analysis tools and methodologies to extract actionable insights from large datasets, covering both product usage and financial data
  • Create and present data-driven reports and presentations to stakeholders, demonstrating how product improvements positively impact the bottom line
  • Act as a data steward by maintaining data dictionaries and ensuring a "single source of truth" for core product metrics
  • Stay current with best practices in data analysis and data governance to make well-informed data-driven recommendations
Read More
Arrow Right

Tech Analyst, Data & AI

Being part of Air Canada is to become part of an iconic Canadian symbol, recentl...
Location
Location
Canada , Dorval
Salary
Salary:
Not provided
aircanada.com Logo
Air Canada
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 3-5 years of experience leading enterprise data warehouse development teams
  • Proven success in Agile environments and cloud-based data platforms, especially Azure and Snowflake
  • Expertise in building robust, scalable data pipelines for batch and streaming data
  • Proficiency in SQL, Python, stored procedures, and scheduling tools
  • Hands-on experience with ETL/ELT tools such as Azure Data Factory (ADF), Databricks, Snowflake, DBT and Talend
  • Skilled in implementing monitoring and alerting mechanisms for data pipelines
  • Strong capability in reviewing engineering deliverables for performance, scalability, and maintainability
  • Experience with prompt engineering and leveraging Generative AI (GenAI) to accelerate development and automate engineering workflows
  • Bachelor’s degree in Engineering, Computer Science, Mathematics, or a related field
  • Excellent communication, problem-solving, and analytical skills
Job Responsibility
Job Responsibility
  • Design & Implementation: Manage implementation of solutions for exploratory data analysis and conducts implementation assessments based on Architecture Overview Documents (AOD) and Detailed Data Solutions
  • Provide accurate effort estimations and assess feasibility of proposed architectures and data models
  • Design, undertake and analyze data to determine patterns and insights that can optimize data ingestion and data presentation
  • Pipeline Design & Development: Design and develop cost-effective, scalable ELT pipelines using reusable components and frameworks
  • Support the delivery of AI and data projects by designing and implementing streaming and/or batch pipelines
  • Design and document pipeline implementation strategies including, scheduling of jobs and workflows, dependencies, error handling, monitoring and alerting and unit testing
  • Monitor and resolve alerts/failures in prod/non-prod environments to ensure operational reliability
  • Participate in peer reviews and oversee the review and approval of code and pipelines
  • Environment Setup & Collaboration: Set up non-production and production environments including MFT flows, RBAC, cloud services, Git repositories, and defining appropriate branching strategies
  • Design, test, and maintain scalable data architectures, including databases and distributed processing systems
Read More
Arrow Right

Product Data Analyst

We're seeking our first Product Data Analyst to establish data-driven product in...
Location
Location
Spain , Madrid Remote, Barcelona Remote, Spain Remote
Salary
Salary:
Not provided
maisa.ai Logo
Maisa
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years of product analytics experience, preferably with AI/ML products or enterprise software
  • Strong experience with AI product metrics (model performance, user-AI interaction patterns, automated workflow success)
  • Proficiency in SQL and experience with both relational and NoSQL databases (MongoDB, PostgreSQL)
  • Experience with data visualization tools (Tableau, Looker, Grafana, or similar)
  • Strong programming skills in Python or R for data analysis and automation
  • Experience analyzing complex user journeys and enterprise software adoption patterns
  • Understanding of statistical analysis, A/B testing, and experimental design
  • Experience working with event-driven architectures and real-time data streams
Job Responsibility
Job Responsibility
  • Design and implement comprehensive product analytics framework for Maisa Studio
  • Establish key product metrics, KPIs, and success measurements for AI Digital Workers
  • Build data pipelines and dashboards to track user behavior, worker performance, and platform adoption
  • Create the foundational data infrastructure to support product, engineering, and business decisions
  • Define data governance and quality standards for product analytics
  • Analyze Digital Worker creation, configuration, and deployment patterns
  • Track AI reasoning quality, execution success rates, and error patterns across the KPU system
  • Measure user adoption of different AI tools, integrations, and workflow configurations
  • Analyze the effectiveness of our "Chain of Work" traceability and explainability features
  • Monitor AI model performance, token usage, and computational efficiency across workers
What we offer
What we offer
  • Opportunity to shape the future of accountable enterprise AI agents
  • Competitive compensation package
  • Flat organization focused on impact rather than hierarchy
  • Work with cutting-edge computational AI technology
  • Dynamic, experienced team of technical experts
  • Continuous learning in the rapidly evolving field of Agentic AI
  • Fulltime
Read More
Arrow Right