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Data entry وظائف في United Arab Emirates

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Data entry • United Arab Emirates

آخر تحديث: منذ أقل من ساعة واحدة
Head - Data

Head - Data

Apparel GroupUnited Arab Emirates
The Head of Data is responsible for leading the data strategy and overseeing data-driven initiatives that align with business goals. This role focuses on driving data innovation, ensuring data gover...أظهر المزيدآخر تحديث: 20 منذ أيام
Data Center Technician

Data Center Technician

OracleUnited Arab Emirates
Responsible for effective delivery of hands-on technical support and installations.This will include server hardware and network break-fix tasks, structured cabling installation, rack deployments a...أظهر المزيدآخر تحديث: 28 منذ أيام
Inside Sales Engineer, Foam Products – Dubai, UAE

Inside Sales Engineer, Foam Products – Dubai, UAE

Johnson ControlsDubai, Dubai, United Arab Emirates
Inside Sales Engineer is the key role reporting to Sales and Customer Service Manager – ME.The Inside Sales Engineer will be based in Dubai and support the customers by identifying their needs, off...أظهر المزيدآخر تحديث: 28 منذ أيام
Lead Data Scientist (Fintech / Banking)

Lead Data Scientist (Fintech / Banking)

Xenon7AE
Quick Apply
Where elite tech talent meets world-class opportunities!.At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies...أظهر المزيدآخر تحديث: منذ أكثر من 30 يومًا
Senior Security Sales Specialist

Senior Security Sales Specialist

WomenTech NetworkUnited Arab Emirates
Would you like to work in a dynamic sales-growth role?.Do you love collaborating across teams to deliver customer success?. Join our Enterprise Security Team!.Our Enterprise Division is responsible ...أظهر المزيدآخر تحديث: 12 منذ أيام
Data Analyst

Data Analyst

SnaphuntUnited Arab Emirates
As a Data Analyst, you will play a crucial role in transforming data into actionable insights that drive business decisions. You will collaborate with various teams to gather requirements, analyze d...أظهر المزيدآخر تحديث: منذ أكثر من 30 يومًا
Data Analyst

Data Analyst

Elite RecruitsUnited Arab Emirates
As a Data Analyst, you will play a crucial role in transforming data into actionable insights that drive business decisions. You will collaborate with various teams to gather requirements, analyze d...أظهر المزيدآخر تحديث: منذ أكثر من 30 يومًا
  • جديد!
Data / Cloud / Analytics

Data / Cloud / Analytics

Lancesoft EuropeUnited Arab Emirates
Quick Apply
Description : - Enable Skills-Based Hiring No &...أظهر المزيدآخر تحديث: منذ أقل من ساعة واحدة
AUT Data Interpreter

AUT Data Interpreter

MPH GroupeUnited Arab Emirates
Location : Abu Dhabi, UAE (On site).Qualification and Experience required : .Software Knowledge : IVMS Software.Should have experience in pipeline projects. NDT Level III in PT, RT, UT, MT and PAUT and ...أظهر المزيدآخر تحديث: منذ أكثر من 30 يومًا
Applied Data Scientist – MLOps

Applied Data Scientist – MLOps

Vinirma Consulting Private LimitedUnited Arab Emirates
Business Consulting, IT Solutions and Services company.Applied Data Scientist – MLOps .Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.Master's degree or certi...أظهر المزيدآخر تحديث: 13 منذ أيام
Data Migration Lead

Data Migration Lead

LeverXUAE
At LeverX, we have had the privilege of working on over 950 SAP projects, including some with Fortune 500 companies.With 20+ years in the market, our team of 2,200 is strong, reliable, and always e...أظهر المزيدآخر تحديث: 7 منذ أيام
عرض العمل هذا غير متوفر في بلدك.
Head - Data

Head - Data

Apparel GroupUnited Arab Emirates
20 منذ أيام
الوصف الوظيفي

The Head of Data is responsible for leading the data strategy and overseeing data-driven initiatives that align with business goals. This role focuses on driving data innovation, ensuring data governance and integrity, and building a high-performing data team. The Head of Data will collaborate closely with cross-functional teams to leverage data for strategic decision-making and operational efficiency.

1. Data Strategy and Leadership

  • Develop and implement a comprehensive data strategy that aligns with the company’s vision and business objectives.
  • Establish data governance policies and frameworks to ensure data quality, privacy, and security.
  • Lead the data team, setting clear goals and objectives, and driving a culture of data-driven decision-making.

2. Data Architecture & Engineering

  • Oversee the design and development of scalable data infrastructure, ensuring robust data integration and storage solutions.
  • Collaborate with data engineers to optimize data pipelines and improve data accessibility and performance.
  • Ensure the data infrastructure supports advanced analytics, machine learning models, and real-time data processing.

    • 3. Data Analytics & Insights

  • Drive the development and delivery of data analytics solutions that provide actionable insights for key business functions.
  • Lead efforts to analyze complex data sets, uncover trends, and generate insights to inform business strategies and drive innovation.
  • Oversee reporting frameworks that enable performance monitoring and drive data transparency across the organization.

    • 4. Data Science & Machine Learning

  • Guide the development and deployment of machine learning models and data science projects to solve business problems.
  • Stay updated on the latest data science trends and technologies to continuously improve the organization’s data capabilities.
  • Collaborate with data scientists to prioritize and execute on high-impact data science initiatives.

    • 5. Collaboration & Stakeholder Engagement

  • Partner with IT, Digital Transformation, and other departments to align data initiatives with overall business goals.
  • Act as a strategic advisor to senior leadership on data-related opportunities and risks.
  • Communicate complex data concepts effectively to both technical and non-technical audiences.

    • 6. Team Development & Management

  • Build, mentor, and manage a team of data scientists, data analysts, and data engineers, fostering a collaborative and innovative work environment.
  • Drive professional growth and development opportunities within the team, ensuring continuous upskilling and knowledge sharing.
  • Manage team performance and ensure alignment with organizational goals and KPIs.