Rajesh Pathak Jan 25, 2024
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The Top 5 Data Professional Tech Jobs In The Middle East

Bringing in top data professionals like data scientists and data architects can help your business soar. Data professionals are widely regarded by businesses today for fostering innovation, delivering deep insights, and establishing new services and opportunities. Data professionals are in high demand, as businesses of all sizes seek to harness the power of data to improve their operations. And with the advent of big data, there is an ever-growing need for skilled workers who can manage and analyze large data sets. 

Read Also: Best Data Analytic Tools 

5 Top Tech Jobs for Data Professionals

Data professionals help in designing automated systems for acquiring data in real-time, refining it into actionable insights, and putting information to use in novel ways that will ultimately serve customers better and help your company to expand. Here are the top 5 data professional tech jobs in the middle east in 2023;

  • Data analyst
  • Data protection/data security manager
  • Data engineer
  • Data scientist
  • Data lead

 Now, let us take a brief look at each data professional tech job;

Data Analyst

To make informed judgments, organizations look to data analysts. This individual is in charge of evaluating massive amounts of data in order to uncover trends, patterns, and insights regarding user behavior. Mining and reviewing data, extracting insights, identifying areas for growth, and delivering organizational recommendations to management are all daily responsibilities. A degree is not essential for data scientists, however, applicants without a formal educational background should have an understanding of their company's specialized industry in order to develop a paradigm to reference while interpreting data. A background in statistics and knowledge of computational frameworks is advantageous, and expertise in dealing with programming languages such as Java, Python, and R is required.

The roles involved in this job include; Owning the design, creation, and upkeep of ongoing metrics, reports, analyses, dashboards, and so on in SQL, AWS Aurora, and so on. Work collaboratively with various stakeholder teams (Sales/Marketing/Tech/Operations, etc.) to solve problems, enhance performance, generate necessary analyses and documentation, and communicate effectively and efficiently. Define the data pieces and data structure that our team should use to allow our business development team's analytical and reporting capabilities. Create and shape operational best practices for reporting and analytics. Creating and presenting business reports to the executive team, By accessing and aggregating data from many sources and putting it into meaningful reports, you may enable better decision making. To see beyond the numbers, use your knowledge in quantitative analysis, business analytics, and data presentation.

Read Also: Top Data Analytics Skills 

Data Protection / Data Security Manager

While not every IT team contains this function, it is a constantly developing area in the data field, as regulatory frameworks are changing and compliance is critical. Candidates should have a strong understanding of data privacy legal and governmental policy concerns, be familiar with national and regional frameworks, and be able to recognize new policy implications within the scope of their organization. They also establish and implement data policies, do data mapping and compliance audits, advise IT and data departments, and examine data processing activity records. Candidates should be familiar with information security processes and have at least five years of experience in data protection/data security responsibilities. A background in information technology, information security, or public policy is advantageous.

Read Also: Reasons why you should do Data Analytics with a Power BI

Data Engineer

With experience in Big Data platforms such as AWS, Azure, and Spark, this candidate will collaborate closely with key stakeholders to achieve the highest possible data quality and system implementation. As a Data Engineer, you will use big data technologies to create a big data solution for storing and retrieving data models, data mining, and segmentation approaches.

Build, test, and manage data interfaces and data pipelines required for data acquisition in the platform, among other responsibilities. Collaborate with data owners, stewards, and the data governance and compliance team to understand business rules and deploy them into ETL / ELTs, as well as connect them with current dashboards. Assist in the development of use cases and the creation of data models and data flows to enable the development of analytical models. Consistently maintain the data quality of dashboards and reports with the necessary internal and external stakeholders.

Read Also: How To Use Tableau For Data Science?

Data Scientist

This job is comparable to that of a data analyst, but data scientists are expected to be able to address more complex business problems across the data science cycle. They identify the most pressing concerns or issues that data could potentially address. Whereas analysts describe historical and current data insights, data scientists provide predictions and recommendations to stakeholders based on important indicators. They are also in charge of training machine learning models in order to develop more powerful and predictive algorithms. "With the ability to extract meaning from data and the immediate impact of solving real-time business problems," says Kaur, "data scientists are expected to remain among the top three in-demand roles in the field of data." "The question is whether organizations in the Middle East have made the necessary efforts to extract the maximum value from these individuals."

Data scientists frequently hold a Master's or Ph.D. in subjects such as computer science, engineering, or statistics. They are also well-versed in programming and analytical tools, with expertise in Python, the Hadoop platform, SQL, data visualization, and machine learning/AI.

The roles of the job include; Finding useful data sources and automating data collection methods. Perform structured and unstructured data preparation Analyze massive amounts of data to find trends and patterns Construct prediction models and machine-learning algorithms. Models can be combined using ensemble modeling. Use data visualization tools to present information. Provide solutions and strategies to corporate problems. Work with the engineering and product development teams.

Read Also: Data Analyst Salaries Around The World

Data Lead

A team lead is required for every firm that wishes to establish and implement a data strategy. The data architect, or data lead, is a hybrid of the two roles described above; rather than having a background in software engineering and data framework development like a data engineer or a background in statistics and analysis like a data scientist, the architect is expected to understand all of these fields and their related skills. They create the overall vision for a company's data architecture and constantly refine and improve data management systems by introducing new technical features, data models, and management systems.  A degree in computer science or engineering is required for this position, but an additional degree, such as an MBA or Master's degree in data science, is preferred.

This job entails managing the lifecycle of a big data solution, which includes platform selection, architecture and application design, testing, deployment, and requirements analysis. Create and evolve an analytic technology roadmap while ensuring alignment with evolving business needs. While monitoring new trends, assist in the initial discovery of any new tools/capabilities of interest for future engagements. Define best practices, rules, and integration with other enterprise solutions, and assign governance responsibilities to ensure compliance with organizational security, suitability, data governance, and metadata management requirements.

Read Also: Benefits Of Tableau For Data Scientists

Bottom Line

The fast advancement of data processing and technology, such as machine learning, has resulted in an increase in the demand for data professionals in both the public and private sectors. According to LinkedIn, tech employment in the Middle East will climb by 61% in 2020, and data science was the UAE's fastest-growing role in 2019, with a 46 percent increase in demand. According to the 2022 Coursera Global Skills Report, data visualization in the field with the biggest growth potential for Egypt, Morocco, and Algeria, with a global market value of $5.17 billion projected by 2026. Data scientists are in high demand in industries, which has led to the growth of this job over the past few years. And it is only going to increase because of the need for better data scientists who can evaluate the increasing data being produced.Enrol on Data Science Training to have access to expert training and to avail a platform for practical training.

Read Also: Top Data Professional Tech Jobs In The Middle East

IT Trainer

Rajesh is a Microsoft certified trainer with more than five years of experience. He plays a vital role in streamlining our enterprise software training programs. As a continuous learner with an unrelenting drive to refresh his IT skills, Rajesh always keeps an eye on the latest software releases.

His adaptable approach to learning navigates the efforts of his students in the right direction, leveraging maximum results with efficiency. Moreover, he is enthusiastic about nurturing the students' skills in a collaborative learning environment. 

He has helped hundreds of professionals hone their skills in Microsoft Office Suite, Tally, Advanced Excel Formulas, VBA, Busy Accounting Suite, Quickbooks, Power B I, and Zoho Books. In addition, he has the expertise in training individuals from global institutions like Parul University, Techno India University, GD Goenka University and Sharda University.