Data Analyst – Business Intelligence at Informa

Cairo, Cairo, Egypt -

Full Time

Start Date

Immediate

Expiry Date

15 Feb, 26

Salary

0.0

Posted On

17 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Business Intelligence, SQL, Python, Power BI, ETL Processes, Data Visualization, Data Modeling, APIs, Collaboration, Problem Solving, Analytical Skills, Business Acumen, Communication, Flexibility, AI Techniques

Industry

Information Services

Description

Company Description Informa Markets, a division within Informa, creates global platforms for industries. We organise over 500 large-scale branded and transaction-oriented events in 14 specialist markets. These are typically not-to-be-missed annual events where buyers and sellers build relationships, see and show products and do business. We also provide year-round online platforms where companies showcase their businesses and products and buyers conduct research, generating valuable leads, and we provide data and digital content that supports the flow of knowledge and transactions in markets. Job Description This role is based in our Cairo Festival City Business Park, New Cairo, Cairo, Egypt office. Reports to: Director of Business Intelligence The Role We are seeking a Data Analyst to join the EMEA Business Intelligence team. This Cairo-based role works closely with colleagues across the region, delivering insights that drive commercial growth, enhance customer understanding, and enable operational excellence. You’ll work with large, complex datasets to build impactful reporting and analysis. While the role is rooted in core data analytics and BI skills, you’ll also have the opportunity to contribute to innovative projects that explore the use of AI, automation, and advanced analytics — gaining exposure to tools and techniques that are shaping the future of business intelligence. Core Responsibilities: Collaborate with the Director of Business Intelligence and wider BI team to deliver actionable insights using data analysis, visualisation, and AI techniques. Build and maintain dashboards in Power BI that help commercial teams act on trends and opportunities. Prepare, clean, and model data from sources such as APIs, SQL databases, SharePoint, and customer feedback. Support the development of data pipelines from the enterprise data lake into Power BI using Dataflows and ETL processes. Contribute to projects exploring how AI and automation can be applied to make our reporting faster, smarter, and more scalable - with opportunities to learn and work on tools for summarisation, sentiment analysis, clustering, and automated reporting Work with stakeholders to understand business needs and translate them into reporting or analytical solutions. Maintain documentation to ensure transparency and knowledge sharing across the team. Help ensure our data is accurate, consistent, and ready for decision-making. Qualifications Skills required: Technical Skills and Experience Bachelor’s degree or Master’s degree in a relevant field (e.g., Data Science, Statistics, Computer Science). 2+ years in a data analytics or BI role with demonstrable impact Strong SQL skills and core data engineering knowledge Proficiency in Python for data analysis (experience with Pandas, scikit-learn, Plotly). 2+ years’ experience with data visualization tools (Microsoft Power BI & DAX). Experience building pipelines and transforming data from data lakes using Power BI Dataflows and related ETL processes. In-depth understanding of integrating diverse data sources using APIs, databases, SharePoint, web extractions, and other relevant methods. Solid understanding of data modelling concepts (e.g. star schema, snowflake schema) and integrating diverse sources (e.g. APIs, SharePoint, Salesforce CRM, web extractions, databases). Analytical & Business Skills Strong business acumen and ability to translate complex data into actionable insights. Excellent problem-solving, analytical, and data-gathering skills. Ability to manage and prioritise work in deadline-driven environments. Knowledge of organizational processes and business functions to align data analytics initiatives with business objectives. Experience of working in a team-oriented and collaborative environment. Ability to be flexible and deal with changing priorities and timelines/due dates pragmatically Ways of Working and Communication Proactive in staying up to date with analytics trends and best practices including AI innovation. Ability to collaborate effectively with cross-functional teams and build strong working relationships. Commitment to ethical conduct in handling sensitive data and ensuring compliance with privacy and security standards. Proficient communicator, able to deal with varying stakeholder queries and clearly communicate solutions to both technical and non-technical teams Proficiency in Microsoft Office productivity tools (MS. Outlook, Excel, Word etc). Desired Skills: Exposure to AI/ML concepts (e.g. LLM APIs, LangChain, HuggingFace, RAG frameworks). Experience with lightweight deployment tools such as Streamlit, FastAPI, or Dash App. Hands-on work with customer feedback, NPS/CSAT, or CRM data. Commercial data analysis such as revenue, pricing, customer value, sales performance, or retention. Knowledge of data privacy regulations e.g. GDPR, CASL etc. Statistical analysis and data modelling. Additional Information We work hard to make sure Life at Informa is rewarding, supportive and enjoyable for everyone. Here’s some of what you can expect when you join us. But don’t just take our word for it – see what our colleagues have to say at LifeAt.Informa.com Our benefits include: Great community: a welcoming culture with in-person and online social events, our fantastic Walk the World charity day and active diversity and inclusion networks Broader impact: take up to four days per year to volunteer, with charity match funding available too Career opportunity: the opportunity to develop your career with bespoke training and learning, mentoring platforms and on-demand access to thousands of courses on LinkedIn Learning. When it’s time for the next step, we encourage and support internal job moves Time out: 21 days annual leave, plus a birthday leave day and the chance to work from (almost!) anywhere for up to four weeks a year A comprehensive company funded private medical insurance with international coverage A ShareMatch scheme that allows you to become an Informa shareholder from the start of your employment, and benefit from free matching shares Strong wellbeing support through EAP assistance, mental health first aiders, and access to health apps and more Recognition for great work, with global awards and kudos programmes As an international company, the chance to collaborate with teams around the world We’re not solely focused on a checklist of skills. We champion energy and ambition and look for colleagues who will roll their sleeves up, join in and help make things happen. If it sounds like a match and you have most – although not all – of the skills and experience listed, we welcome your application. If you would like to request reasonable adjustments or accommodations to assist your participation in the hiring process and, or in the advertised position, please inform the appropriate Talent Acquisition Partner for the role once they have been in touch. Your request will be reviewed and considered in confidence. At Informa, you'll find inclusive experiences and environments where all perspectives and backgrounds are welcomed. As part of this approach and our diversity and inclusion commitments, we are also formally an Equal Opportunities Employer. This means we base decisions on relevant qualifications and merit and do not discriminate on the basis of key characteristics and statuses, including all of those protected by law. Ask us or see our website for full information. See how Informa handles your personal data when you apply for a job here.

Responsibilities

The Data Analyst will collaborate with the Director of Business Intelligence and the BI team to deliver actionable insights through data analysis and visualization. They will also build and maintain dashboards in Power BI and contribute to projects exploring AI and automation in reporting.