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UAE Jobs in Barco 2024 – Apply Online for Employment Opportunity for Product Analytics Manager Vacancies in Dubai
Highlight of the Current Recruitment
Barco Recruitment 2024 – You would be glad to find out that Barco has published a new job vacancy on their official website for Product Analytics Manager profile. We have mentioned the important details regarding this new job hiring from Barco company for Product Analytics Manager jobs on uae-jobs.20govt.com.
Read through the Product Analytics Manager Job description for job opportunity in Barco company in Dubai. Find brief job details, like Employment ID, Work Location, Educational qualifications needed, Monthly/Annual salary, age limitation, Incentives, perks and other benefits if you get the job in this company. Check all the information carefully and apply online before the last date of the recruitment.
Product Analytics Manager jobs UAE Career 2024 Job Notification Barco Information :-
| Recruiting Agency / Department |
Barco |
| Vacant Position |
Product Analytics Manager |
| Salary |
AED 7532.00 per month |
| Job Location |
Dubai |
| Job Type |
Jobs In UAE |
Product Analytics Manager Jobs In Dubai Full Job Description :-
Careem is building the Everything App for the greater Middle East, making it easier than ever to move around, order food and groceries, manage payments, and more. Careem is led by a powerful purpose to simplify and improve the lives of people and build an awesome organisation that inspires. Since 2012, Careem has created earnings for over 2.5 million Captains, simplified the lives of over 50 million customers, and built a platform for the region’s best talent to thrive and for entrepreneurs to scale their businesses. Careem operates in over 70 cities across 10 countries, from Morocco to Pakistan.
Responsibilities
- Track and optimize performance of growth initiatives across outbound and on app channels
- Analyze large datasets using SQL and Python to extract valuable insights and trends.
- Create insightful dashboard to enable business team with easy access to actionable data.
- Design, develop, and automate data pipelines using Python scripts and SQL to support customer engagement initiatives
- Collaborate with data science team to develop ML models for personalization and automation initiatives
- Design and oversee A/B tests using their knowledge of statistical methods (t-tests, chi-squared etc.)
Qualifications
- Bachelor’s degree in Computer Science, Data Science, Statistics, or related field.
- Experience in data engineering, data analysis, or related roles.
- Intermediate to proficient SQL skills to perform data analysis
- Experienced in Scripting and automation of tasks using Python(Pandas, Numpy, Requests, JSON) preferred
- Fluent in Statistical concepts including A/B testing, uplift calculation, p-test, t-test, statistical significance
- Good understanding of statistics and its application to data analysis.
- Basic understanding of data science concepts and methodologies.
- Experience in the consumer internet industry is a plus.
- Experience of working with dashboarding tools like Tableau, Power BI, Superset..
- 5 years of prior experience in Product Analytics or other forms of data analysis in a high-tech company.
- Preferred to have an experience working in a fast-paced environment, multitasking and working under tight deadlines.
What we’ll provide you
We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a Careem colleague you will be able to:
- Work and learn from great minds by joining a community of inspiring colleagues.
- Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
- Explore new opportunities to learn and grow every day.
- Enjoy the flexibility that comes with the trust of being an owner; work in a hybrid style with a mix of days at the office and at home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year.
- Access to healthcare benefits and fitness reimbursements for health activities including: gym, health club and training classes.
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