Why is remote work so nice? Let's try to see!
Apply
Data Analytics - Senior Data Analyst - Beirut
Posted 8 days agoViewed
💎 Seniority level: Senior, 4+ years
🔍 Industry: Data Analytics
🏢 Company: Infomineo👥 101-250Information ServicesOutsourcingConsumer ResearchBig DataMarket ResearchAnalytics
🗣️ Languages: English + 1 additional language
⏳ Experience: 4+ years
Requirements:
- 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...)
- 4+ years of technical experience in advanced analytics and business intelligence
- 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)
- 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…
- Exposure to versioning software: Git, Github, Gitlab
- Exposure to API integration using Python for extracting data from different sources
Responsibilities:
- 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
- Clean and prepare the data with the Data Scientists.
- Collect and transform data from the various sources available in big data environments.
- Provide data visualization to inform business decisions.
- Analyze and interpret data to extract complex relationships and trends.
- Optimize data exploration using Machine Learning techniques.
- 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.
Related Articles
Posted 7 months ago
Insights into the evolving landscape of remote work in 2024 reveal the importance of certifications and continuous learning. This article breaks down emerging trends, sought-after certifications, and provides practical solutions for enhancing your employability and expertise. What skills will be essential for remote job seekers, and how can you navigate this dynamic market to secure your dream role?
Posted 7 months ago
Explore the challenges and strategies of maintaining work-life balance while working remotely. Learn about unique aspects of remote work, associated challenges, historical context, and effective strategies to separate work and personal life.
Posted 7 months ago
Google is gearing up to expand its remote job listings, promising more opportunities across various departments and regions. Find out how this move can benefit job seekers and impact the market.
Posted 7 months ago
Learn about the importance of pre-onboarding preparation for remote employees, including checklist creation, documentation, tools and equipment setup, communication plans, and feedback strategies. Discover how proactive pre-onboarding can enhance job performance, increase retention rates, and foster a sense of belonging from day one.