Gulf Air
Senior Analyst ā Data Analytics
- Permanent
- Manama, Bahrain
- Experience 2 - 5 yrs
Report job as expired
Job expiry date: 24/07/2025
Job overview
Date posted
09/06/2025
Location
Manama, Bahrain
Salary
BHD 15,000 - 20,000 per month
Experience
2 - 5 yrs
Seniority
Senior & Lead
Qualification
Bachelors degree
Expiration date
24/07/2025
Job description
The Senior Analyst - Data Analytics is responsible for utilizing advanced techniques and technologies to derive insights from complex datasets and promote data-driven decision-making within the organization. This role is crucial for designing and implementing data analytics models, algorithms, and dashboards that monitor Key Performance Indicators (KPIs) and support proactive decision-making. By keeping up with the latest trends and emerging technologies in data analytics, the Senior Analyst will enhance the organizationās analytical capabilities, improve data-driven strategies, and help achieve strategic objectives.
Required skills
Key responsibilities
- 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 quality assurance 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.
Experience & skills
- 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.
- Proficiency in data analysis tools and software such as Power BI, 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.
- Strong analytical and problem-solving skills, with the ability to derive insights from complex data sets.
- Proficient in data analysis tools and programming languages.
