940 Customer Experience Analyst jobs in Bahrain
Senior Customer Experience Analyst
Posted 4 days ago
Job Viewed
Job Description
As a Senior Analyst, you will design and implement customer feedback mechanisms, conduct in-depth data analysis using various quantitative and qualitative methods, and translate complex findings into actionable recommendations. You will work closely with cross-functional teams, including product, marketing, and operations, to champion customer-centricity across the organization. This position requires a strong analytical mindset, excellent communication skills, and a passion for understanding and improving the customer journey. You will be a key player in driving continuous improvement and ensuring our client remains at the forefront of customer service excellence. Your ability to influence stakeholders with data-driven insights will be critical to your success in this remote role.
Key Responsibilities:
- Design, deploy, and manage customer surveys and feedback mechanisms (e.g., NPS, CSAT).
- Analyze customer interaction data from various touchpoints (e.g., support tickets, website behavior, social media).
- Perform quantitative and qualitative analysis of customer feedback to identify trends, pain points, and opportunities.
- Develop actionable insights and recommendations to improve customer journey, product usability, and service delivery.
- Create detailed reports and dashboards to visualize customer experience metrics and performance.
- Collaborate with product, marketing, and operations teams to implement CX improvement initiatives.
- Conduct journey mapping exercises to identify friction points and moments of truth.
- Monitor key CX metrics and track the impact of implemented changes.
- Present findings and recommendations to senior management and stakeholders.
- Stay up-to-date with the latest CX best practices, tools, and technologies.
- Mentor junior analysts and contribute to the development of the CX team's capabilities.
- Champion a customer-centric culture throughout the organization.
- Conduct root cause analysis for customer dissatisfaction.
Qualifications:
- Bachelor's degree in Business, Statistics, Marketing, Psychology, or a related field. Master's degree is a plus.
- Minimum of 5 years of experience in Customer Experience, Market Research, or Data Analysis, with a focus on CX.
- Proven experience in designing and analyzing customer feedback programs.
- Proficiency in statistical analysis software (e.g., SPSS, R, Python) and data visualization tools (e.g., Tableau, Power BI).
- Experience with CRM systems and customer data platforms (CDPs).
- Strong understanding of journey mapping, persona development, and CX methodologies.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional written and verbal communication skills, with the ability to present complex data clearly.
- Ability to work independently and manage multiple projects in a remote setting.
- Experience in influencing cross-functional teams and driving change.
- Detail-oriented with a strong commitment to data accuracy.
Data Analyst
Posted today
Job Viewed
Job Description
Job Description
VAM Systems is currently looking for Data Analyst - Business Intelligence Engineer for our Bahrain operations with the following skillsets & terms and conditions:
Qualifications:
- Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field is required. A Master's degree is preferred.
Certifications:
- Professional certifications in Microsoft Power BI or equivalent BI platforms are preferred.
Required experience: Minimum of 5–8 years of hands-on experience in Business Intelligence and data analytics, preferably within the banking or financial services sector.
Technical Proficiency:
- Advanced expertise in data visualization and statistical plotting using tools such as Power
- BI, Python, and Matlab.
- Strong command of SQL for querying, data modeling, and ETL development.
- Solid understanding of data warehousing concepts and experience with platforms like SAS and Microsoft SQL Server.
- Familiarity with cloud-based BI platforms (e.g., Azure, AWS) is a strong advantage.
- Experience in Python and statistical programming, with exposure to AI/ML tools, algorithms, and methods.
Analytical & Modeling Skills:
- Proven ability to work with large-scale datasets and deliver production-grade analytics solutions.
- Skilled in data preparation, including rationalizing, classifying, deriving, and calculating model input variables.
- Experience applying natural language processing (NLP) and computer vision techniques to unstructured data is a plus.
Competencies:
- Banking Domain Expertise: Proven experience in the financial services industry, preferably banking, with a strong understanding of core banking functions such as Risk, Finance, Corporate/Retail Banking, Treasury, and the customer lifecycle.
- Analytical & Problem-Solving Skills: Exceptional ability to analyze complex datasets, perform data profiling, and
- derive actionable insights that support strategic decision-making.
- Technical Proficiency: Strong command of SQL and relational databases, with the ability to design and optimize
- queries for performance and scalability.
- Communication & Presentation: Excellent verbal and written communication skills, with the ability to present
- complex data findings clearly and persuasively to both technical and non-technical stakeholders.
- Collaboration & Agility: Demonstrated success working in agile, cross-functional teams, with a proactive and
- adaptable mindset in fast-paced environments.
Languages:
- English
- Arabic
Terms and conditions
Joining time frame: days)
Data Analyst
Posted today
Job Viewed
Job Description
Company Description
TAM-C Solutions empowers clients with actionable intelligence, enabling them to conduct their business in a risk-acceptable environment. This forward-thinking approach helps clients leverage data to make informed decisions and manage their operations more efficiently. The company is committed to delivering high-quality solutions that provide valuable insights and enhance business performance.
Role Description
This is a full-time, on-site role for a Data Analyst, located in Manama. The Data Analyst will be responsible for collecting, analyzing, and interpreting complex data sets to provide actionable insights. Day-to-day tasks include generating reports, creating data visualizations, and collaborating with various departments to support data-driven decision-making. The role also involves ensuring data accuracy and integrity, identifying trends, and making recommendations based on data analysis.
Qualifications
- Strong skills in data collection, analysis, and interpretation
- Chinese speaking, writing and reading
- Experience with data visualization tools and report generation
- Proficiency in statistical analysis and data modeling techniques
- Strong problem-solving skills and attention to detail
- Excellent written and verbal communication skills
- Knowledge of SQL, Python, R, or other data analysis software is a plus
- Bachelor's degree in Data Science, Statistics, Computer Science, or a related field
- Ability to work on-site in Manama
Data Analyst
Posted today
Job Viewed
Job Description
Job Description
VAM Systems is currently looking for Data Analyst - Power BI for our Bahrain operations with the following skillsets & terms and conditions:
Qualifications:
- Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field is required. A Master's degree is preferred.
Certifications:
- Professional certifications in Microsoft Power BI or equivalent BI platforms are preferred.
Required experience: Minimum of 5–8 years of hands-on experience in Business Intelligence and data analytics, preferably within the banking or financial services sector.
Technical Proficiency:
- Advanced expertise in data visualization and statistical plotting using tools such as Power
- BI, Python, and Matlab.
- Strong command of SQL for querying, data modeling, and ETL development.
- Solid understanding of data warehousing concepts and experience with platforms like SAS and Microsoft SQL Server.
- Familiarity with cloud-based BI platforms (e.g., Azure, AWS) is a strong advantage.
- Experience in Python and statistical programming, with exposure to AI/ML tools, algorithms, and methods.
Analytical & Modeling Skills:
- Proven ability to work with large-scale datasets and deliver production-grade analytics solutions.
- Skilled in data preparation, including rationalizing, classifying, deriving, and calculating model input variables.
- Experience applying natural language processing (NLP) and computer vision techniques to unstructured data is a plus.
Competencies:
- Banking Domain Expertise: Proven experience in the financial services industry, preferably banking, with a strong understanding of core banking functions such as Risk, Finance, Corporate/Retail Banking, Treasury, and the customer lifecycle.
- Analytical & Problem-Solving Skills: Exceptional ability to analyze complex datasets, perform data profiling, and
- derive actionable insights that support strategic decision-making.
- Technical Proficiency: Strong command of SQL and relational databases, with the ability to design and optimize
- queries for performance and scalability.
- Communication & Presentation: Excellent verbal and written communication skills, with the ability to present
- complex data findings clearly and persuasively to both technical and non-technical stakeholders.
- Collaboration & Agility: Demonstrated success working in agile, cross-functional teams, with a proactive and
- adaptable mindset in fast-paced environments.
Languages:
- English
- Arabic
Terms and conditions
Joining time frame: days)
Junior Data Analyst
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Assist in the collection, organization, and management of data from diverse sources.
- Perform data cleaning and preparation to ensure accuracy and consistency.
- Conduct basic data analysis to identify trends, patterns, and insights.
- Create reports, dashboards, and visualizations to present findings to stakeholders.
- Support senior analysts in developing analytical models and reports.
- Assist in the interpretation of data and provide recommendations based on findings.
- Maintain data integrity and ensure adherence to data governance policies.
- Collaborate with team members on various data-related projects.
- Learn and apply new data analysis tools and techniques.
- Document data analysis processes and methodologies.
- Respond to ad-hoc data requests from different departments.
- Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and analytical principles.
- Proficiency in data manipulation and analysis tools such as Excel, SQL, and Python/R (preferred).
- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and accuracy.
- Good communication and interpersonal skills, with the ability to explain technical concepts clearly.
- Ability to work independently and collaboratively in a remote team environment.
- Eagerness to learn and develop new skills in data analytics.
- A proactive approach to identifying and addressing data challenges.
Graduate Data Analyst
Posted today
Job Viewed
Job Description
Responsibilities:
- Assist in collecting, cleaning, and organizing large datasets from various sources.
- Perform data analysis to identify trends, patterns, and insights relevant to business objectives.
- Develop and implement data models and algorithms for predictive analysis.
- Create compelling data visualizations and dashboards to communicate findings effectively.
- Generate reports and present analytical results to stakeholders.
- Collaborate with different departments to understand their data needs and provide analytical support.
- Support the development and maintenance of data infrastructure.
- Learn and apply statistical methods and machine learning techniques.
- Ensure data accuracy and integrity throughout the analysis process.
- Stay updated with the latest trends and technologies in data analytics.
- Contribute to a data-driven culture within the organization.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and data analysis techniques.
- Proficiency in programming languages such as Python or R.
- Experience with data manipulation tools and libraries (e.g., SQL, Pandas).
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and accuracy.
- Good communication and interpersonal skills, with the ability to explain technical concepts clearly.
- Ability to work effectively both independently and as part of a team.
- A keen interest in data and its application in business.
This graduate scheme offers comprehensive training and mentorship, providing a strong foundation for a successful career in data analytics.
Graduate Data Analyst
Posted today
Job Viewed
Job Description
Responsibilities:
- Assist in collecting and organizing data from various sources.
- Perform data cleaning and preprocessing to ensure data quality and consistency.
- Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Generate reports and visualizations to communicate findings effectively.
- Support senior analysts in developing analytical models and metrics.
- Collaborate with team members on assigned projects and tasks.
- Learn and apply statistical methods and data analysis techniques.
- Contribute to presentations and discussions on data insights.
- Help maintain data documentation and ensure data integrity.
- Gain exposure to data analysis tools and software.
- Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- Strong analytical and problem-solving skills.
- Familiarity with data analysis concepts and techniques.
- Basic knowledge of programming languages such as Python or R is a plus.
- Experience with data visualization tools (e.g., Tableau, Power BI) is beneficial.
- Excellent attention to detail and accuracy.
- Good communication and interpersonal skills.
- Ability to work independently and as part of a team.
- Eagerness to learn and develop new skills.
- Students nearing the completion of their degree may also be considered.
Be The First To Know
About the latest Customer experience analyst Jobs in Bahrain !
Graduate Data Analyst
Posted today
Job Viewed
Job Description
Responsibilities:
- Assist in data collection, cleaning, and preparation for analysis.
- Perform statistical analysis on various datasets.
- Develop data visualizations and dashboards to present findings.
- Support senior analysts in generating reports and insights.
- Identify trends, patterns, and anomalies in data.
- Collaborate with team members on data-related projects.
- Learn and apply data analysis tools and techniques.
- Contribute to data quality initiatives.
- Assist in documentation of data processes and findings.
Qualifications:
- Currently pursuing or recently completed a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Basic understanding of statistical concepts and methods.
- Familiarity with data analysis tools and programming languages (e.g., Python with Pandas, R).
- Strong analytical and problem-solving skills.
- Excellent attention to detail.
- Good written and verbal communication skills.
- Ability to work effectively in a team environment.
- Eagerness to learn and develop data analysis skills.
Junior Data Analyst
Posted today
Job Viewed
Job Description
Junior Data Analyst
Posted today
Job Viewed