Data Analytics - Data Analyst - Cairo at Infomineo

Cairo, Cairo, Egypt -

Full Time

Start Date

Immediate

Expiry Date

22 Mar, 26

Salary

0.0

Posted On

22 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Data Visualization, Machine Learning, Python, SQL, Big Data, Data Preparation, Data Cleaning, API Integration, Business Intelligence, Statistical Analysis, Communication Skills, Problem Solving, Collaboration, Attention to Detail, Organizational Skills

Industry

Outsourcing and Offshoring Consulting

Description

About us Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. We've evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise. We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling. This is made possible by relying on 3 pillars of excellence: 1) 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona), 2) Our proprietary AI orchestrator, 3) Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions. Ready to kick start your career with us? 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? Assist businesses in the decision-making process for Data Driven projects using the following steps: Contribute to the design of the technical solution chosen to collect, analyze data, and display the results obtained. Propose solutions and strategies to tackle business challenges. Present results in a clear manner ACQUISITION & PREPARATION Clean and prepare the data with the Data Scientists. Collect and transform data from the various sources available in big data environments. ANALYSIS Provide data visualization to inform business decisions. Analyze and interpret data to extract complex relationships and trends. Optimize data exploration using Machine Learning techniques. DEPLOYMENT Adapt and integrate analytics models into the client's IS environment. Assist the IT teams in all phases of the production, maintenance and updating of the models developed. 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...) 0 to 3 years of technical experience in advanced analytics and business intelligence TECHNICAL SKILLS ACQUISITION & PREPARATION Exposure to Big Data environments and languages such as Hadoop, Hortonworks, Cloudera, Spark, Scala, PySpark etc. &Big Data querying tools, such as Pig, Hive, and Impala Exposure to large data sets both structured and unstructured data: Snowflake, SQL and relational databases, data warehouse, data lake Exposure to Python programming language coupled with an additional languages experience if possible (e.g. SAS, R, Javascript) ANALYSIS Good skills in Analytical concepts such as data correlation, pareto, market-basket analysis, forecasting, creating complex visuals like sunburst, multi-layered maps, etc. Experience in BI/Data visualization platforms such as Power BI, Tableau, Looker, QlikView… DEPLOYMENT Exposure to versioning software: Git, Github, Gitlab Exposure to API integration using Python for extracting data from different sources INTERPERSONAL SKILLS Ability to step back, analyze problems, find solutions and the drive to implement these. Ability to work & collaborate with variety of stakeholders & clients throughout data project life-cycle Strong interpersonal skills and organisational skills, high motivation, an attention to detail, flexibility, and ability to cope under stress, a focus on identifying the solutions to problems. Good communication skills & ability to translate complex solutions into business implications and at the same time being able to explain mathematical concepts when required 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 spoken with someone who works at Infomineo, you've probably heard that our people are our most valuable asset. Our diversity, both in terms of professional experience and culture, is the company’s greatest strength.By being a part of Infomineo, you'll have the opportunity to work alongside a friendly, smart, and international team that values intellectual vitality and creativity. You will learn the best practices and tools in your field of work, as well as how best to leverage AI for more efficiency to enable focusing on generating more impact to a client. You will grow your career and expertise across different regions and industries. As a member of the team, you'll be encouraged to contribute by applying your ideas while playing an instrumental role in the company’s development and growth. Within this role, you'll support leading international institutions & companies with the data and information required to fuel key business decisions 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.

Responsibilities

The Data Analyst will assist businesses in decision-making for data-driven projects, contributing to the design of technical solutions and presenting results clearly. They will also clean and prepare data, analyze it for trends, and integrate analytics models into client environments.