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Care Coordinator jobs in United Arab Emirates

Data Engineering and Analysis Intern

GM

Dubai
Hybrid
AED 120,000 - 200,000
5 days ago
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Senior Nephrologist — Kidney Care & Dialysis Expert

Careerlink HR

Dubai
On-site
AED 120,000 - 200,000
5 days ago
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Assistant HR Manager

Yokogawa

Abu Dhabi
On-site
AED 120,000 - 200,000
5 days ago
Be an early applicant

Nurse Manager

Royal Health Group AE

Abu Dhabi Emirate
On-site
AED 120,000 - 200,000
6 days ago
Be an early applicant

Nursery Manager

Seek Teachers

Dubai
On-site
AED 120,000 - 200,000
7 days ago
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Employee Benefits Coordinator Emirati Talent

Mediclinic International

Dubai
On-site
AED 80,000 - 100,000
8 days ago

Marketing Automation Specialist

ClearGrid

Dubai
On-site
AED 120,000 - 200,000
8 days ago

Senior Urban Nursery Manager - Landscaping Leader (UAE)

Primus Workforce

Abu Dhabi
On-site
AED 120,000 - 200,000
11 days ago
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Agriculture Nursery Manager

Primus Workforce

Abu Dhabi
On-site
AED 120,000 - 200,000
11 days ago

Job Opportunities Perfumery Laboratory Assistant 114992

Givaudan

Dubai
On-site
AED 60,000 - 120,000
12 days ago

Logistics Investigator & Program Support

Amazon

Dubai
On-site
AED 120,000 - 200,000
12 days ago

DOH-Licensed Nurse | UAE Medical Center Care Specialist

WAZAF HR CONSULTANCY

Dubai
On-site
AED 120,000 - 200,000
13 days ago

Perfume Analysis Specialist - SAMEA (GC-MS)

Givaudan

Dubai
On-site
AED 120,000 - 200,000
13 days ago

Costing & Financial Analytics Associate

Precision

United Arab Emirates
On-site
AED 60,000 - 120,000
13 days ago

Clinical Psychologist - CBT & Multidisciplinary Care Lead

Mediclinic Group

Sha'biyyat as Rashidiyyah
On-site
AED 120,000 - 180,000
13 days ago

Permit Issuer/ Permit Holder

Star Services LLC

Abu Dhabi
On-site
AED 120,000 - 200,000
14 days ago

Cardiac Electrophysiologist — Advanced Arrhythmia Care Leader

PulseHire HR

Abu Dhabi
On-site
AED 550,000 - 919,000
14 days ago

Pharmacy Eligibility & Benefits Specialist

ShieldsRx

United Arab Emirates
On-site
AED 60,000 - 120,000
14 days ago

Strategic Retail Merchandiser — Inventory & Growth

Brand Folio

Dubai
On-site
AED 60,000 - 120,000
14 days ago

Retail Merchandiser

Brand Folio

Dubai
On-site
AED 60,000 - 120,000
14 days ago

Piping QC Inspector: Commissioning Specialist

Orbit International Survey Services LLC

Sharjah
On-site
AED 120,000 - 200,000
14 days ago

Senior Well Test & DAQ Engineer (EdgeX & Fardux)

Expro

Abu Dhabi
On-site
AED 120,000 - 200,000
15 days ago

Well Test Senior Operator (DAQ Engineer-EdgeX & Fardux)

Expro

Abu Dhabi
On-site
AED 120,000 - 200,000
15 days ago

Marketing Director: Content, Campaigns & Growth

Spring Tech

Dubai
On-site
AED 120,000 - 200,000
16 days ago

Nephrologist, Sharjah - Impactful Kidney Care Leader

Ezee Health Care

Sharjah
On-site
AED 500,000 - 700,000
16 days ago

Top job titles:

Typist jobsEntry Level Data Scientist jobsInstallation Technician jobsJunior Web Developer jobsNicu Nurse jobsCaretaker jobsOutpatient Nurse jobsCritical Care Nurse jobsSales Support Specialist jobsContract Advisor jobs

Top companies:

Jobs at AdnocJobs at Air ArabiaJobs at SercoJobs at Four SeasonsJobs at GeJobs at MicrosoftJobs at IbmJobs at KbrJobs at CiscoJobs at Salesforce

Top cities:

Jobs in DubaiJobs in Abu DhabiJobs in SharjahJobs in AjmanJobs in Al AinJobs in Fujairah

Similar jobs:

Coordinator jobsCustomer Care Representative jobsProject Coordinator jobsOperations Coordinator jobsLogistics Coordinator jobsCaregiver jobsHealthcare Assistant jobsSales Coordinator jobsPersonal Care Assistant jobsPatient Care Assistant jobs
Data Engineering and Analysis Intern
GM
Dubai
Hybrid
AED 120,000 - 200,000
Part time
5 days ago
Be an early applicant

Job summary

A leading automotive company in Dubai is looking for a Data Engineering and Analysis Intern. The successful candidate will assist in data collection, cleaning, and analysis, contributing to global sales operations. Candidates should be pursuing a relevant degree and have basic programming skills in Python and knowledge of data tools. This hybrid role requires reporting to the office three times a week, offering mentorship and real-world experience in data-driven decision-making.

Benefits

Mentorship from experienced professionals
Exposure to real-world data challenges

Qualifications

  • Currently undergoing bachelor's or master's degree in data science, Data Engineering, Business Analytics, or a related field.
  • Basic knowledge of programming languages (Python preferred) and data analysis tools (e.g. SQL, Excel).
  • Basic knowledge of data visualization tools (Power BI, Tableau) is a plus.

Responsibilities

  • Assist in gathering and preparing data from various sources.
  • Clean, transform, and analyze data to ensure quality and accuracy.
  • Support data analysis, hypothesis testing, and exploratory data analysis (EDA).
  • Help build and validate predictive models using basic machine learning techniques.
  • Generate reports and create data visualizations to highlight business insights.

Skills

Programming languages (Python preferred)
Data analysis tools (e.g. SQL, Excel)
Data visualization tools (Power BI, Tableau)

Education

Currently pursuing bachelor's or master's degree in data science, data engineering, business analytics, or related field
Job description
Job Description

At General Motors we pride ourselves on designing building and selling the worlds best vehicles. We are seeking a new generation of visionaries to help launch bold engineering and business initiatives and shape new directions for General Motors. As an intern you will gain handson career specific experiences to maximize your realworld potential.

Work Arrangement

This role is categorized as hybrid. This means the successful candidate is expected to report to the office at minimum three times per week or other frequency dictated by the business and two times per week remote.

Your Role

As a Data Engineering and Analysis Intern youll have the opportunity to gain handson experience in datadriven decisionmaking and contribute to our global sales operations. You will collaborate with senior team members work on data collection analysis and reporting and help optimize business processes using data science techniques.

What Youll Do
  • Assist in gathering and preparing data from various sources
  • Clean transform and analyze data to ensure quality and accuracy
  • Support data analysis hypothesis testing and exploratory data analysis (EDA)
  • Help build and validate predictive models using basic machine learning techniques
  • Generate reports and create data visualizations to highlight business insights
  • Collaborate with crossfunctional teams (Sales Finance CRM Omnichannel) to support datadriven solutions
  • Contribute to business performance tracking including dashboards and KPIs
  • Participate in training and mentorship opportunities to enhance your technical skills
Your Skills & Abilities
  • Currently undergoing bachelors or masters degree in data science Data Engineering Business Analytics or a related field
  • Basic knowledge of programming languages (Python preferred) and data analysis tools (e.g. SQL Excel)
  • Basic knowledge of data visualization tools (Power BI Tableau) is a plus
  • Completed coursework in AI machine learning deep learning and natural language processing (NLP)
  • Worked on academic projects involving generative models (like GPT3 GANs) or reinforcement learning
What We Offer
  • Mentorship from experienced professionals in business and data
  • Exposure to realworld data challenges and solutions
  • Opportunity to contribute to meaningful projects that impact business outcomes
About GM

Our vision is a world with Zero Crashes Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better safer and more equitable for all.

Why Join Us

We aspire to be the most inclusive company in the world. We believe we all must make a choice every day individually and collectively to drive meaningful change through our words our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals dependent on role needs. Every day we want every employee no matter their background ethnicity preferences or location to feel they belong to one General Motors team.

Diversity Information

General Motors is committed to being a workplace that is not only free of discrimination but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional personal educational or volunteeropportunities.

We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.

Equal Employment Opportunity Statement

The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individuals age race color sex religion national origin disability sexual orientation gender identity/expression or veteran status. Additionally General Motors is committed to being an Equal Employment Opportunity (EEO) Employer and offers opportunities to all job seekers including individuals with disabilities (in GM facilities that provide disability access). If you need a reasonable accommodation to assist with your job search or application for employment email us at . In your email please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Required Experience

Intern

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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