Standard Chartered Hiring: Data Analysis Specialist 2026:-
The role focuses on analyzing workforce data, developing reporting solutions, improving data quality, and delivering actionable insights to support business and people-related decisions.
Complete job details are given below.
| Company : | Standard Chartered Bank |
| Job Role : | Data Analysis, Specialist |
| Job Category : | Data Analytics / Business Intelligence |
| Experience : | 2 to 5 years of professional experience in data analytics |
| Salary : | As per Company Standards |
| Posting End Date : | 29 October 2026 |
Role Overview:-
As a Data Analysis Specialist at Standard Chartered, you will analyze large datasets and transform complex data into reliable reports, visualizations, and business recommendations.
You will be responsible for developing and maintaining reporting and analytics solutions that support workforce planning, people-related decisions, and overall business performance.
The role involves working with SQL, Tableau, MicroStrategy, data modeling, reporting automation, and data visualization. You will also collaborate with stakeholders to understand business requirements, improve data quality, and deliver scalable analytics products.
This is an individual contributor role requiring ownership of assigned analytical deliverables, stakeholder communication, and timely delivery of reporting solutions.
Educational Requirements:-
Candidates should meet the educational requirements specified in the job description.
Relevant qualifications include:
- B.E. / B.Tech in Computer Science or Information Technology
- B.E. / B.Tech in other relevant engineering disciplines
- B.Sc. in Mathematics, Statistics, or Computer Science
- M.Sc. in Mathematics, Statistics, or Data Science
- Bachelor’s degree in a relevant STEM discipline
- Master’s degree in a relevant STEM discipline
Mandatory Qualification: Bachelor’s or Master’s degree in a STEM subject, as stated in the supplied job description.
Language Requirement: English.
Key Skills:-
Technical Skills
- SQL query writing
- Data extraction and transformation
- Data analysis
- Data visualization
- Tableau
- MicroStrategy
- Business Intelligence (BI) tools
- Data modeling
- Reporting and dashboard development
- Data workflow automation
- Data quality validation
- Data governance and security
- Data interpretation and analysis
- Reporting optimization
- Analytics product development
Data Analytics & Functional Skills
- Workforce analytics
- Business reporting
- Requirements analysis
- Business performance analysis
- Data-driven decision-making
- Trend and pattern identification
- Insight generation
- Data storytelling
- Stakeholder requirements gathering
- Reporting process improvement
- Scalable analytics solutions
- Data quality management
- Business Intelligence reporting
- Operational analytics
Soft Skills
- Strong problem-solving abilities
- Analytical and critical thinking
- Effective communication
- Stakeholder management
- Presentation skills
- Data storytelling
- Attention to detail
- Time management
- Independent working
- Collaboration and teamwork
- Continuous learning
- Ability to meet deadlines
- Business-oriented thinking
- Accountability and ownership
Roles & Responsibilities:-
1. Data Analysis & Business Insights
- Analyze large datasets to identify meaningful patterns, trends, and business opportunities.
- Convert complex workforce and business data into actionable insights.
- Prepare analytical reports to support informed decision-making.
- Identify opportunities to improve business performance through data-driven recommendations.
- Interpret data and communicate findings clearly to stakeholders.
- Ensure analytical outputs are aligned with business objectives and reporting requirements.
2. SQL & Data Engineering
- Use SQL to extract relevant information from data sources.
- Perform data transformation and preparation for reporting and analytics.
- Develop and maintain queries that support recurring analytical requirements.
- Support reliable and efficient data processing workflows.
- Validate datasets and investigate data inconsistencies.
- Improve the efficiency and maintainability of SQL-based reporting processes.
3. Dashboard Development & Data Visualization
- Develop and maintain dashboards and reporting solutions using Tableau and MicroStrategy.
- Convert complex data into clear visualizations that stakeholders can easily understand.
- Build reports that support workforce analytics and broader business decisions.
- Maintain existing analytics products to ensure accuracy and reliability.
- Improve reporting usability and accessibility for business stakeholders.
- Present key performance indicators, trends, and analytical findings effectively.
4. Reporting Automation & Process Improvement
- Automate recurring data workflows to reduce manual effort.
- Develop scalable reporting solutions that improve operational efficiency.
- Identify opportunities to simplify reporting processes.
- Improve consistency, reliability, and cost-effectiveness across analytics products.
- Support the development of reusable reporting components and standardized workflows.
- Recommend improvements to existing analytics processes.
5. Data Quality, Security & Governance
- Validate data accuracy and completeness before delivering analytical outputs.
- Identify and investigate data quality issues.
- Follow applicable data security and governance requirements.
- Maintain consistency across reports, dashboards, and analytical datasets.
- Help ensure that reporting outputs are reliable and suitable for business use.
- Support controls that improve confidence in data-driven decisions.
6. Requirements Analysis & Data Modeling
- Engage with stakeholders to understand business needs and reporting requirements.
- Translate business requirements into analytical and reporting solutions.
- Support data modeling activities to structure information effectively.
- Identify the data and metrics required to answer business questions.
- Ensure reporting solutions meet current stakeholder needs and can scale for future requirements.
- Refine analytical deliverables based on stakeholder feedback.
7. Stakeholder Management & Reporting Delivery
- Collaborate with business stakeholders to define analytical priorities.
- Communicate insights and recommendations in a clear and structured manner.
- Manage assigned analytical tasks from requirements gathering through final delivery.
- Deliver reports and dashboards within agreed timelines.
- Take ownership of individual assignments and maintain high-quality outputs.
- Support a collaborative, data-driven environment focused on continuous improvement.
8. Data Storytelling & Business Recommendations
- Present analytical findings in a way that connects data with business objectives.
- Explain trends, patterns, and performance indicators using clear narratives.
- Recommend practical improvements based on analytical evidence.
- Help stakeholders understand the implications of data findings.
- Translate reporting outputs into decisions and actions that improve business performance.
About Company:-
Standard Chartered is an international banking and financial services group with a history spanning more than 170 years. The bank operates across multiple markets and provides banking services to individuals, businesses, and institutions.
The organization focuses on supporting global commerce, economic growth, and financial services through innovation, technology, data, and customer-focused solutions.
Standard Chartered promotes a culture of integrity, continuous improvement, collaboration, inclusion, and professional development. Its data and analytics teams help business stakeholders make informed decisions by converting complex information into actionable insights.
Standard Chartered Hiring: Data Analysis Specialist 2026 Application Process:-
Apply Link:- Click Here To Apply
Note:- Only the shortlisted candidates will be notified for the further interview process.
