Division: Information Technology
Location: Bahrain - Head Quarter
Department: Information Technology
Closing Date: 18-Jun-2024

The Senior Analyst - Data Analytics is to provide specialized expertise in data analytics, leveraging advanced techniques and technologies to extract insights from complex datasets and drive data-informed decision-making within the organization.

The role will play a critical role in designing and implementing data analytics models, algorithms, and dashboards that enable the monitoring of Key Performance Indicators (KPIs) and facilitate proactive decision-making. By staying abreast of the latest trends and emerging technologies in data analytics, the Senior Analyst - Data Analytics will contribute to the continuous improvement of analytical capabilities, enhance data-driven strategies, and support the organization in achieving its strategic objectives.


• Conduct data analysis to identify trends, patterns, and correlations.

• Develop and implement data analytics models, algorithms, and dashboards to track and monitor key performance indicators (KPIs).

• Collaborate with stakeholders to understand business requirements and translate them into data analytics projects.

• Perform statistical analysis and data modeling to develop predictive and prescriptive analytics solutions.

• Prepare and present reports, visualizations, and recommendations to stakeholders.

• Assist in data qualityassurance activities, including data cleansing and validation.

• Support the implementation and maintenance of data analytics tools and platforms.

• Stay up-to-date with industry trends and emerging technologies in data analytics to recommend innovative solutions.

• Collaborate with cross-functional teams to integrate data analytics into business processes and decision-making.

• Adhere to data security, privacy, and compliance policies and regulations.

Technical Responsibilities:

• Proficiency in data analysis tools and software such as SQL, Python, R, and Tableau.

• Strong knowledge of statistical analysis methods, data visualization techniques, and data mining concepts.

• Familiarity with data manipulation and transformation techniques.

• Understanding of basic machine learning algorithms and their application in data analytics.

• Ability to work with large datasets and perform data cleansing and manipulation.


• Bachelor's degree in a relevant field such as Data Science, Statistics, Mathematics, or Computer Science.


• Proven experience of at least 2 years in data analytics or a related field.

Note: you will be required to attach the following:
1. Resume / CV
2. Passport-size photograph