Data Analytics - Data Analytics Manager - Cairo

About us

Infomineo is a fast-growing business insights provider, bringing Brainshoring to global clients across a range of services: Business research, Content Services, Graphic Design, and Data Analytics. Our clients include leading Consultancies, Fortune 500 companies, Governments, and NGOs. Infomineo counts 350+ employees spread across 5 offices covering EMEA and the Americas (Casablanca, Cairo, Dubai, Barcelona and Mexico City). 

About this role

This role will give you the opportunity to deliver high added value data & analytics projects and build high quality and innovative solutions for our clients within a growing service company.

What will you do?

• Identify new opportunities for using data analytics services within various business functions, collaborate with stakeholders to evaluate their value, and develop a comprehensive plan for implementation.
• Design custom solutions, select appropriate tools and techniques, execute and deploy the solution, monitor its performance, and continuously enhance it.
• Stay informed about the latest business applications, tools, and methods in the field, as well as deployment and MLOps platforms, and introduce these to Infomineo.
• Lead projects, coordinate priorities and allocate resources, and communicate effectively with the project director.
• Serve as a mentor and coach, providing guidance, training, and career development opportunities to the team.
• Teach team members how to approach problems effectively and empower them to replicate these strategies in the future.

Who are you?

EDUCATION & PROFESSIONAL EXPERIENCE

• Master's degree in a relevant field such as Computer Science, Machine Learning, Data Science, Statistics, Applied Mathematics, Data Engineering
• Full proficiency in English + 1 Additional language (French, German, Arabic, Spanish, Italian, Portuguese...)
• More than 10 years of technical experience in advanced analytics and data science

TECHNICAL SKILLS

ACQUISITION & PREPARATION

• Strong experience managing data integration projects using relational databases (e.g., SQL Server, Snowflake, Oracle) and cloud data platforms (Azure Synapse, AWS Redshift, Google BigQuery).
• Familiar with data ingestion frameworks and ETL tools such as Azure Data Factory, Talend, or Alteryx; ability to guide data engineers in building robust pipelines.
• Comfortable navigating and working with semi-structured and unstructured data (e.g., JSON, web APIs, survey tools), including use cases requiring light transformation or enrichment.
• Knowledge of NoSQL environments (e.g., MongoDB, Cassandra) for exploratory analysis or specialized business use cases.

ANALYSIS

• Strong command of analytical and statistical techniques, including correlation analysis, clustering, forecasting, segmentation, and customer profiling.
• Demonstrated expertise in business intelligence platforms, especially Power BI and Tableau, including calculated measures (DAX/LOD), custom visuals, and performance-optimized dashboards.
• Ability to lead the design of interactive dashboards with advanced features: drill-downs, what-if analysis, KPI monitoring, and geospatial components.
• Plus: Hands-on understanding of data science workflows—from exploratory data analysis to model interpretation—enabling collaboration with data scientists on use cases such as churn prediction, sales forecasting, and NLP for survey analysis.
• Exposure to Python for rapid prototyping of data science models and interpreting their outputs within business contexts.

DEPLOYMENT

• Experienced in managing BI project lifecycles, from requirements gathering to deployment, including stakeholder alignment, governance, and user training.
• Familiarity with API integrations and cloud data connectors to pull data from ERP, CRM, social, and survey platforms.
• Experienced in cloud-native BI architectures across Azure, AWS, or GCP, including cost control and performance considerations.
• Oversight of automated pipelines and refresh logic, ensuring accurate and timely delivery of insights.
• Plus: Comfortable deploying basic machine learning models or KPIs into dashboards, using predictive outputs to drive business actions and augment traditional reporting

What we offer

• A competitive salary
• A great working environment
• A steep learning curve with interesting and diverse topics to work on
• A healthy work-life balance
• Health insurance Benefits

What is it like to work at Infomineo?
If you've connected with someone from Infomineo, you’ve likely heard that our people are our most valuable asset. Our diversity—both in professional backgrounds and cultural perspectives—is one of our strongest advantages.

As a Data Analytics Manager, you will lead and mentor a smart, international group of analysts who are passionate about data-driven insights and innovation. You will be instrumental in defining and implementing industry-leading tools and methodologies for collecting, processing, and analyzing data, ensuring best practices and driving efficiency within the team. You'll leverage your advanced analytical skills and deep expertise across various sectors and global markets to guide strategic initiatives and foster the professional development of your team.

In this pivotal role, your leadership will directly empower your team to support leading international institutions and companies, transforming raw data into actionable insights that drive critical strategic decision-making. Your vision and contributions will be highly valued as you shape the future direction of both our Data Analytics team and the wider organization.

Equal opportunity employer

Infomineo is an equal opportunity employer, we prohibit any sort of discrimination (based on color, race, sex, sexual orientation, religion, national origin or any other attributes) in all aspects of employment (recruiting, hiring, wages and salary, promotions, benefits, training and job termination).

If you believe you match our requirements and values, we would be happy to hear from you. Visit our website to know more about us, our services and company culture.