210 Saudi Nationals jobs in Saudi Arabia

3 weeks ago Be among the first 25 applicants

Company Overview

iMetric is a full-service Digital Media agency with offices in Beirut, Riyadh, Doha & Dubai, dedicated to providing Digital Solutions for the Digital Age! Our services include, but are not limited to, Media Planning & Buying, Social Media, Content Creation & Development, and Web & App Development.

We define ourselves as a local agency catering to the local market while following global standards and trends. We build holistic, integrated digital media campaigns that utilize a mix of customized solutions that fit each brand.

We are eager to blend intensive analytical thinking with attractive designs to deliver exceptional results for your business and help you stay ahead of the competition.

We are looking for a creative and motivated Marketing Executive to join our team. As a fresh graduate, you will have the opportunity to gain hands-on experience in digital media and campaign execution. This role is perfect for someone eager to learn, grow, and contribute to the success of our agency.

Key Responsibilities

• Assist in the development and execution of marketing campaigns across various digital channels
• Understand campaign goals and target audiences in collaboration with the team
• Assist in setting up and managing ads on platforms like Google, Facebook, Instagram, and LinkedIn
• Write simple ad copy and coordinate with the team for visuals
• Monitor campaign performance and suggest small improvements
• Gain hands-on experience in tracking ads using tags and conversion tools
• Learn how to segment audiences and implement retargeting strategies
• Assist in budget management and tracking ad spend
• Collect and organize campaign data
• Assist in preparing basic reports with key insights for the team
• Stay updated with industry trends, marketing best practices, and new digital tools

Requirements

• Saudi Nationality
• Bachelor's degree in Marketing, Business Administration, Communications, or related fields
• Certifications in Google Ads, LinkedIn, Meta, or similar platforms are a plus

Competencies

• Strong command of English, both written and spoken
• Strong communication skills, with the ability to express ideas clearly and work well in a team
• Confidence and resilience to adapt in a dynamic work environment
• Openness to different cultural perspectives while maintaining professionalism
• Basic analytical skills with a willingness to learn
• Ability to handle multiple tasks and stay organized
• Creative thinking and problem-solving mindset
• Strong attention to detail and a willingness to improve

Benefits

Why Join Us?

• Hands-on training and mentorship
• Opportunity to gain real digital media experience
• Career growth opportunities

• Entry level

• Full-time

• Marketing

• IT Services and IT Consulting

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Position Summary

We are seeking an innovative and analytical thinker to support our Data Science team in the GCC region based in Riyadh, KSA. As a Data Scientist, you are expected to generate data and business insights, develop predictive and prescriptive models, context-based prototypes, and high impact storyboards to promote a data-driven strategy and solutions approach for the company.

Principal Responsibilities

• Serve as an analytics expert in designing, developing and implementing best in analytic solutions
• Create and deliver powerful insights from data through better visualization and storyboarding
• Collaborate with internal and external partners to fully understand business requirements and desired business outcomes
• Demonstrate execution proficiency in handing multiple medium-to-large analytics projects in a team environment that includes the rest of the Data Science team
• Draft detailed scope for assigned projects, addressing suggested methodology and analytics plan
• Execute on the analytics plan with appropriate data mining and analytical techniques
• Perform quality assurance of data and deliverables for work performed by other Data Scientists and self
• Ensure all project documentation is up to date and all projects are reviewed per analytics plan
• Ensure project delivery within timelines and budget requirements
• Build on team’s analytical skills and business knowledge
• Enhance existing analytics techniques by promoting new methodologies and best practices in the Data Science field
• Provide subject matter expertise and quality assurance of complex data-driven analytic projects

Technical Expertise

• Experience in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.)
• Ability to write scratch MapReduce jobs and fluency with Spark frameworks
• Familiarity with both common computing environments (e.g. Linux, Shell Scripting) and commonly-used IDE’s (Jupyter Notebooks), proficiency in SAS technologies and techniques
• Strong programming ability in different programming languages such as Python, R, Scala, Java, Matlab, C++, and SQL
• Experience in drafting solution architecture frameworks that rely on API’s and micro-services
• Familiarity with common data modeling approaches, and ability to work with various datatypes including JSON, XML, etc.
• Ability to build data pipelines (e.g. ETL, data preparation, data aggregation and analysis) using tools such as NiFi, Sqoop, Ab Initio, familiarity with data lineage processes and schema management tools such as Avro
• Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain, Monte Carlo, Gibbs Sampling, Evolutionary Algorithms (e.g. Genetic Algorithms, Genetic Programming), Support Vector Machines, Neural Networks, etc.
• Expert knowledge of advanced data mining and statistical modeling techniques, including Predictive modeling (e.g., binomial and multinomial regression, ANOVA), Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis), Decision Tree techniques (e.g., CART, CHAID)
• Deliver results within committed scope, timeline and budget
• Very strong people/project management skills and experience
• Ability to travel within GCC on short notice

Basic Qualifications

•2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience



Preferred Qualifications

•3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)

•Minimum of 3-4 years of analytics expertise in applying statistical solutions to business problems

•Experience working in one or more of the Card Payments markets around the globe

•Post-graduate degree (Masters or PhD) in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

We are seeking an innovative and analytical thinker to support our Data Science team in the GCC region based in Riyadh, KSA. As a Data Scientist, you are expected to generate data and business insights, develop predictive and prescriptive models, context-based prototypes, and high impact storyboards to promote a data-driven strategy and solutions approach for the company.

• Serve as an analytics expert in designing, developing and implementing best in analytic solutions
• Create and deliver powerful insights from data through better visualization and storyboarding
• Collaborate with internal and external partners to fully understand business requirements and desired business outcomes
• Demonstrate execution proficiency in handing multiple medium-to-large analytics projects in a team environment that includes the rest of the Data Science team
• Draft detailed scope for assigned projects, addressing suggested methodology and analytics plan
• Execute on the analytics plan with appropriate data mining and analytical techniques
• Perform quality assurance of data and deliverables for work performed by other Data Scientists and self
• Ensure all project documentation is up to date and all projects are reviewed per analytics plan
• Ensure project delivery within timelines and budget requirements
• Build on team’s analytical skills and business knowledge
• Enhance existing analytics techniques by promoting new methodologies and best practices in the Data Science field
• Provide subject matter expertise and quality assurance of complex data-driven analytic projects

Technical Expertise

• Experience in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.)
• Ability to write scratch MapReduce jobs and fluency with Spark frameworks
• Familiarity with both common computing environments (e.g. Linux, Shell Scripting) and commonly-used IDE’s (Jupyter Notebooks), proficiency in SAS technologies and techniques
• Strong programming ability in different programming languages such as Python, R, Scala, Java, Matlab, C++, and SQL
• Experience in drafting solution architecture frameworks that rely on API’s and micro-services
• Familiarity with common data modeling approaches, and ability to work with various datatypes including JSON, XML, etc.
• Ability to build data pipelines (e.g. ETL, data preparation, data aggregation and analysis) using tools such as NiFi, Sqoop, Ab Initio, familiarity with data lineage processes and schema management tools such as Avro
• Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain, Monte Carlo, Gibbs Sampling, Evolutionary Algorithms (e.g. Genetic Algorithms, Genetic Programming), Support Vector Machines, Neural Networks, etc.
• Expert knowledge of advanced data mining and statistical modeling techniques, including Predictive modeling (e.g., binomial and multinomial regression, ANOVA), Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis), Decision Tree techniques (e.g., CART, CHAID)
• Deliver results within committed scope, timeline and budget
• Very strong people/project management skills and experience
• Ability to travel within GCC on short notice

Basic Qualifications
•2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience

Preferred Qualifications
•3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
•Minimum of 3-4 years of analytics expertise in applying statistical solutions to business problems
•Experience working in one or more of the Card Payments markets around the globe
•Post-graduate degree (Masters or PhD) in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

We are seeking an innovative and analytical thinker to support our Data Science team in the GCC region based in Riyadh, KSA. As a Data Scientist, you are expected to generate data and business insights, develop predictive and prescriptive models, context-based prototypes, and high impact storyboards to promote a data-driven strategy and solutions approach for the company.

• Serve as an analytics expert in designing, developing and implementing best in analytic solutions
• Create and deliver powerful insights from data through better visualization and storyboarding
• Collaborate with internal and external partners to fully understand business requirements and desired business outcomes
• Demonstrate execution proficiency in handing multiple medium-to-large analytics projects in a team environment that includes the rest of the Data Science team
• Draft detailed scope for assigned projects, addressing suggested methodology and analytics plan
• Execute on the analytics plan with appropriate data mining and analytical techniques
• Perform quality assurance of data and deliverables for work performed by other Data Scientists and self
• Ensure all project documentation is up to date and all projects are reviewed per analytics plan
• Ensure project delivery within timelines and budget requirements
• Build on team’s analytical skills and business knowledge
• Enhance existing analytics techniques by promoting new methodologies and best practices in the Data Science field
• Provide subject matter expertise and quality assurance of complex data-driven analytic projects

Technical Expertise

• Experience in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.)
• Ability to write scratch MapReduce jobs and fluency with Spark frameworks
• Familiarity with both common computing environments (e.g. Linux, Shell Scripting) and commonly-used IDE’s (Jupyter Notebooks), proficiency in SAS technologies and techniques
• Strong programming ability in different programming languages such as Python, R, Scala, Java, Matlab, C++, and SQL
• Experience in drafting solution architecture frameworks that rely on API’s and micro-services
• Familiarity with common data modeling approaches, and ability to work with various datatypes including JSON, XML, etc.
• Ability to build data pipelines (e.g. ETL, data preparation, data aggregation and analysis) using tools such as NiFi, Sqoop, Ab Initio, familiarity with data lineage processes and schema management tools such as Avro
• Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain, Monte Carlo, Gibbs Sampling, Evolutionary Algorithms (e.g. Genetic Algorithms, Genetic Programming), Support Vector Machines, Neural Networks, etc.
• Expert knowledge of advanced data mining and statistical modeling techniques, including Predictive modeling (e.g., binomial and multinomial regression, ANOVA), Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis), Decision Tree techniques (e.g., CART, CHAID)
• Deliver results within committed scope, timeline and budget
• Very strong people/project management skills and experience
• Ability to travel within GCC on short notice

Basic Qualifications
•2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Preferred Qualifications
•3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
•Minimum of 3-4 years of analytics expertise in applying statistical solutions to business problems
•Experience working in one or more of the Card Payments markets around the globe
•Post-graduate degree (Masters or PhD) in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Why Join Grubtech?

• Be part of a dynamic and innovative team revolutionizing the food delivery and cloud kitchen industry.
• Grow your career in a supportive and fast-paced environment.
• Collaborate with talented professionals and contribute to the success of our cutting-edge SaaS platform.

We are looking for highly motivated individuals with tremendous grit, who aren’t afraid to roll up their sleeves and tackle challenges head-on.

Key Qualities We're Looking For:

• Bachelor’s degree in Business Administration or related field.
  
• Skills in Sales Strategy Development, Client Relationship Management, and achieving Sales Targets.
• Excellent Communication and Negotiation skills.
  
• Experience in industries such as F&B, Grocery (preferred but not required)
• Familiarity with POS, ERP, 3PLS, and e-commerce platforms.
  
• Strong analytical skills in sales data and market trends.
• Proficiency in CRM software and MS Office.
• Ability to work with cross-functional teams and collaborate with product and customer service teams to drive success and enhance customer satisfaction.
  
• Proven track record of successful sales performance .
  
  

Join us and be a part of shaping the future of food-tech!