Standard Chartered Recruitment 2026 – Data Analysis Specialist, Bengaluru

Standard Chartered

Scroll down to apply

The official listing does not specify a minimum number of years; verify the expected experience level before applying6 days ago

ExperienceThe official listing does not specify a minimum number of years; verify the expected experience level before applying

QualificationBachelor’s or master’s degree in a STEM subject

Key Responsibilities

The role focuses on developing trustworthy analytics products that support bank-wide people decisions and improve business performance. Responsibilities specified in the official job description include the following.
Build and deliver reporting and analytics products aligned with business needs. The objective is to provide reliable information that stakeholders can use to understand performance and make informed decisions.
Analyse large datasets and convert complex information into clear findings, recommendations and visualisations. The work involves identifying meaningful patterns and trends that support business and workforce-related decisions.
Automate data workflows to improve efficiency and control. Automation can reduce repetitive manual work, improve consistency and make reporting processes more scalable.
Ensure that data used for reporting and analysis meets quality requirements and is handled in accordance with relevant security and governance controls.
Engage with stakeholders to understand their analytical needs, clarify reporting requirements and deliver solutions within agreed timelines.
Own assigned analytics work from the initial requirement through analysis, reporting, validation and delivery. The official description identifies this as an individual-contributor position.
Build and maintain scalable, stable and cost-effective analytics products that address current and future stakeholder needs. This includes improving reporting and visualisation solutions as requirements change.
Use workforce data and other relevant information to support informed decisions across the bank. The emphasis is on converting analytical results into insights that can improve performance and decision-making.

Skills & Eligibility

Standard Chartered is looking for candidates who can analyse complex data, develop reporting and analytics products, and translate business requirements into useful insights. Applicants should have the appropriate educational background and be comfortable working with SQL and business intelligence tools.
Educational qualification: Bachelor’s or master’s degree in a STEM subject.
SQL: Knowledge of SQL and data engineering concepts for working with structured datasets.
Data analysis: Ability to examine information, identify patterns and derive meaningful insights.
Data visualisation: Experience creating visual reports and communicating analytical results.
Business intelligence: Knowledge of Tableau or MicroStrategy.
Problem-solving: Ability to investigate business problems and identify relevant analytical solutions.
Requirements analysis: Understanding stakeholder needs and translating them into reporting requirements.
Data modelling: Understanding how data is structured and prepared for reporting and analysis.
Communication: Ability to explain findings and recommendations clearly.
Language: English.
Important: The official listing identifies a bachelor’s or master’s degree in a STEM subject as the educational requirement. It does not provide a minimum CGPA, a specific graduation batch or an exact number of years of experience in the retrieved description.
The supplied recruitment summary describes the opening as suitable for freshers and experienced candidates. However, the official careers listing does not explicitly confirm that candidates without professional experience are eligible.
The role requires knowledge of SQL, data analysis and visualisation, and business intelligence tools. Candidates with relevant academic projects, internships or practical experience should review the official requirements and confirm the expected experience level before applying.
Applicants should not assume that this is a dedicated graduate recruitment programme merely because it appears in a recruitment roundup.
The official job description specifies a bachelor’s or master’s degree in a STEM subject. The supplied recruitment summary lists B.E., B.Tech, M.E., M.Tech, B.Sc, M.Sc and related qualifications.
Candidates should check whether their particular degree and specialisation meet Standard Chartered’s STEM qualification requirement.
The official job description specifies a bachelor’s or master’s degree in a STEM subject. The supplied recruitment summary lists B.E., B.Tech, M.E., M.Tech, B.Sc, M.Sc and related qualifications.
Candidates should check whether their particular degree and specialisation meet Standard Chartered’s STEM qualification requirement.
Data analysis is central to this role. The selected candidate will work with large datasets and convert complex workforce information into reports, visualisations and actionable insights.
Effective data analysis involves understanding the business question, examining the available data, checking its quality and identifying patterns that are relevant to decision-making.
Useful areas to prepare include:
Exploratory data analysis.
Identifying patterns, trends and anomalies.
Comparing performance across groups or periods.
Validating data before drawing conclusions.
Interpreting analytical results in a business context.
Presenting recommendations based on evidence.
Candidates should be able to explain how they would investigate a question, select relevant data and determine whether the resulting insight is reliable.
SQL is a key skill for this opportunity. It is used to retrieve, filter, combine and transform structured data for analysis and reporting.
The role also identifies data engineering with SQL as a mandatory skill area. Candidates should understand how data is collected and prepared before it is used in reports or analytics products.
Important topics to revise include:
SELECT queries and filtering.
Joins and relationships between tables.
Aggregate functions and GROUP BY.
Subqueries and common table expressions.
Window functions.
Data transformation and validation.
Handling duplicate, missing or inconsistent records.
Basic query optimisation and performance considerations.
Applicants should practise writing SQL queries to answer business questions and explaining how they validate the resulting data.
Data visualisation helps stakeholders understand information quickly and identify trends that may not be obvious in raw datasets.
The job description emphasises turning complex data into clear insights and recommendations. Candidates should understand how to choose an appropriate visualisation based on the question being answered.
Useful preparation topics include:
Choosing appropriate chart types.
Presenting trends over time.
Comparing categories and performance measures.
Designing clear, readable dashboards.
Highlighting important metrics and exceptions.
Avoiding misleading visual scales or representations.
Communicating insights to non-technical stakeholders.
The official listing identifies Tableau and MicroStrategy as business intelligence tools relevant to the position.
These platforms are used to develop reports, dashboards and analytical views that help stakeholders monitor performance and make decisions. Candidates should be prepared to discuss their actual experience with either tool.
Useful topics to review include:
Connecting to data sources.
Preparing and transforming data.
Creating calculated fields and measures.
Building charts and dashboards.
Applying filters and parameters.
Designing reports for different stakeholder needs.
Validating dashboard results against source data.
The listing mentions Tableau and MicroStrategy. Candidates should confirm the tool requirements for their potential assignment rather than assuming that advanced proficiency in both is mandatory.
Data modelling involves organising data and defining relationships between different entities. A well-designed data model makes reporting more consistent and allows analytical products to scale as business needs evolve.
Candidates should understand tables, keys, relationships, dimensional models and the purpose of facts and dimensions in analytical reporting.
They should also be able to explain how the structure of a dataset affects the accuracy and usability of reports and dashboards.
The role involves delivering analytics products that meet business needs. Requirements analysis helps translate stakeholder questions into clear data, reporting and visualisation requirements.
Candidates should understand how to clarify objectives, identify relevant measures, define filters and reporting dimensions, and agree on expected outputs.
For example, a stakeholder may request a workforce dashboard. The analyst needs to understand which decisions the dashboard should support, what metrics are required, how frequently the data should be updated and which users need access.
Data storytelling combines analysis, visualisation and explanation to help stakeholders understand what the data means and what action may be appropriate.
The job description highlights storytelling as a relevant skill. Candidates should be able to move beyond presenting charts and explain the underlying finding, its significance and the possible business implications.
Useful practices include:
Starting with the business question.
Highlighting the most important findings.
Explaining relevant trends and exceptions.
Supporting conclusions with evidence.
Providing clear recommendations.
Adapting explanations to the audience.
The role requires reliable analytics products and includes responsibility for data quality, security and governance compliance.
Incorrect or incomplete data can lead to misleading reporting. Candidates should understand the importance of validating source information, identifying inconsistencies and documenting data transformations.
They should also recognise that workforce data can be sensitive and must be handled in accordance with appropriate access controls, security requirements and governance policies.
The role involves delivering analytics products that meet business needs. Requirements analysis helps translate stakeholder questions into clear data, reporting and visualisation requirements.
Candidates should understand how to clarify objectives, identify relevant measures, define filters and reporting dimensions, and agree on expected outputs.
For example, a stakeholder may request a workforce dashboard. The analyst needs to understand which decisions the dashboard should support, what metrics are required, how frequently the data should be updated and which users need access.
The official job description specifies a bachelor’s or master’s degree in a STEM subject. Candidates should verify that their particular degree and specialisation meet the requirement.
The official listing identifies data analysis and visualisation, SQL-based data engineering, and Tableau or MicroStrategy as must-have skills. Problem-solving, requirements analysis, storytelling and data modelling are also relevant.
October 20, 2026

Note: This job is posted on external sites. Joblit shares the listing for convenience and does not take responsibility for third-party content.

Apply Now

Suggested Jobs

Standard Chartered Recruitment 2026 – Data Analysis Specialist, Bengaluru

Key Responsibilities

Skills & Eligibility

Suggested Jobs

Cargill Recruitment 2026 – Data & AI Solutions Specialist

Cargill Recruitment 2026 – Data & AI Solutions Specialist

Harmonic Recruitment 2026 – Junior C++ Engineer, Bengaluru

CGI Recruitment 2026 – System Engineer – Data Analyst

NTT DATA Recruitment 2026 – Associate Engineer

Tieto Recruitment 2026 – Junior Service Desk Specialist

NTT DATA Recruitment 2026