Deloitte Services Support Associate I – Data Validation Hiring 2026

Deloitte Support Services India Private Limited is hiring for the position of Services Support Associate I – Data Validation in Hyderabad. This opportunity is suitable for candidates who have a strong interest in accounting and finance-related work while also possessing an understanding of data validation, SQL, ETL processes, Microsoft Excel, and data quality principles.

The role is part of a data management environment where professionals support data onboarding activities and help ensure that information moving into core data platforms is accurate, complete, consistent, and aligned with defined business requirements. Candidates with 0–1 years of experience who have a Bachelor’s degree such as B.Com or B.Sc. and are comfortable working with data and analytical tasks may find this position relevant.

The position requires a combination of finance-oriented understanding, analytical thinking, technical troubleshooting, attention to detail, and communication skills. The stated work location is Hyderabad, with shift timings from 2 PM to 11 PM.

Deloitte Services Support Associate I – Data Validation Job Overview

Company: Deloitte Support Services India Private Limited

Job Role: Services Support Associate I – Data Validation

Experience: 0–1 years

Qualification: Bachelor’s degree, including B.Com or B.Sc.

Location: Hyderabad, Telangana, India

Shift Timing: 2 PM to 11 PM

Primary Areas: Data Validation, Data Quality, SQL, ETL, Data Integration, Data Analysis, Finance Data, Microsoft Excel, VBA/Macros

The opportunity is particularly relevant for candidates who want to build a career at the intersection of finance, accounting, data management, data quality, and technology-enabled business processes.

About Deloitte Support Services India Private Limited

Deloitte Support Services India Private Limited is part of Deloitte's operations in India. Deloitte maintains a large careers ecosystem across India, with Hyderabad among the locations where it recruits for technology, data, finance, consulting, and support-oriented positions. Its careers portal currently lists numerous Hyderabad opportunities across areas including data engineering, business analysis, SAP, engineering, and other professional functions.

For this particular opportunity, the position is associated with Deloitte Support Services India Private Limited and focuses on supporting data validation and data quality activities. The company information supplied for this vacancy identifies the role as part of an environment where data is onboarded onto core data platforms and validated against business and technical requirements.

About the Services Support Associate I – Data Validation Role

The Services Support Associate I – Data Validation position is designed for professionals who can work carefully with business data and identify issues before or after information is loaded into enterprise data platforms.

The role requires candidates to understand that data quality is not simply about checking whether information exists. Data must also be accurate, complete, consistent, properly formatted, and aligned with business rules. A data validation professional therefore needs to examine source information, compare it with expected results, identify discrepancies, document issues, and work with technical and business teams to resolve them.

For someone beginning a career in finance or data management, this type of position can provide exposure to the practical side of enterprise data operations. The work combines analytical investigation with structured processes and requires professionals to follow established data quality standards.

The position is therefore not limited to traditional accounting work. Candidates are expected to develop familiarity with technical concepts such as SQL, ETL workflows, Azure Data Factory, SAP BusinessObjects Data Services, debugging, root cause analysis, and Excel-based automation.

Understand the Job Role

As a Services Support Associate I – Data Validation at Deloitte Support Services India Private Limited, your primary responsibility would be to support the accuracy and quality of data being onboarded into core enterprise data platforms.

The work begins with reviewing available data and identifying anomalies, inconsistencies, missing information, or other gaps. Candidates need to examine information carefully and determine whether the data meets the expected requirements. This requires attention to detail because even relatively small data discrepancies can affect downstream reporting, analysis, or business processes.

Another important aspect of the position is data cleansing and enrichment. Under established guidelines, the associate will support activities intended to improve the quality and usability of data. This can involve identifying incorrect or incomplete information and helping ensure that the data follows the required standards.

The position also involves validating source extracts against business requirements and defined data rules. Candidates need to understand what the expected output should look like and compare the actual data with those expectations. SQL knowledge becomes particularly useful in this area because SQL can be used to extract, filter, compare, and analyze data.

Post-load validation is another responsibility mentioned in the role. After information has been loaded into a target platform, the associate may perform basic checks to confirm that the data is accurate, complete, and compliant with the defined rules. This requires a methodical approach because the purpose of validation is to identify problems before they affect wider business operations.

Documentation is also an important part of the position. When a data quality problem is identified, the issue needs to be clearly recorded along with the validation results and current resolution status. Good documentation allows other members of the project team to understand what happened, what was identified, and what action is required.

The role also provides exposure to collaboration with ETL developers and senior team members. Data quality checks may need to be implemented or improved based on recurring issues. The associate is expected to support these activities while developing a stronger understanding of how data moves through enterprise systems.

When a data defect or validation failure occurs, the associate may also support investigation and root cause analysis. Rather than simply identifying that something is wrong, the objective is to understand why the problem occurred. This can involve examining source data, transformation logic, processing steps, validation rules, or other parts of the workflow.

The role further requires collaboration with business, IT, and project teams. Data problems can involve both technical and business considerations, so effective communication is important. Candidates should be comfortable explaining issues clearly, asking relevant questions, documenting findings, and working with different stakeholders to reach a resolution.

What Does Data Validation Mean in This Role?

Data validation is the process of checking whether information satisfies defined requirements and quality standards.

In an enterprise environment, data can pass through multiple stages before it becomes available for business use. Information may originate from a source system, undergo transformation through ETL processes, and then be loaded into a target data platform. At each stage, there is a possibility that information can become incomplete, inconsistent, incorrectly transformed, or incorrectly mapped.

A data validation associate helps identify these issues by comparing actual data with expected business rules and technical requirements.

For example, if a source system contains customer, financial, product, or operational information, validation activities may check whether required fields are populated, whether values follow expected formats, whether records have been transferred correctly, and whether the resulting data matches business expectations.

The position therefore requires patience and attention to detail. Candidates should be comfortable examining data repeatedly and systematically rather than relying only on assumptions.

Match Your Skills

The ideal candidate for this position should have a combination of analytical, technical, communication, and problem-solving abilities.

SQL is one of the most important technical skills mentioned in the requirements. Candidates are expected to have basic proficiency in SQL for data extraction, validation, transformation, and analysis. A beginner should therefore be comfortable understanding tables, selecting records, filtering information, using conditions, comparing datasets, and performing basic data analysis.

The role also expects a foundational understanding of ETL processes and data integration workflows. ETL stands for Extract, Transform, and Load. These processes are commonly used to move data from source systems into target platforms while applying transformations and business rules.

Candidates do not necessarily need to present themselves as advanced data engineers for a 0–1 year role, but they should understand the basic concept of how data is extracted, transformed, validated, and loaded.

Familiarity with Azure Data Factory, commonly known as ADF, is also mentioned as a requirement. The JD specifically allows this familiarity to come from academic projects, training, or hands-on exercises. This makes ADF knowledge particularly relevant for candidates who may not yet have extensive professional experience but have worked on data-related projects during college or training.

The role also mentions awareness of SAP BusinessObjects Data Services, commonly referred to as SAP BODS. Candidates are expected to be willing to develop practical expertise in this area. Therefore, applicants should not ignore this requirement when preparing their resumes or interviews.

Another important capability is structured root cause analysis. When a data validation failure occurs, candidates should be able to approach the problem logically, identify the symptoms, investigate possible causes, examine the relevant data or process, and help determine the appropriate resolution.

Basic code debugging and technical troubleshooting skills are also expected. Candidates should be comfortable investigating problems instead of immediately escalating every issue without first understanding what may have caused it.

SQL Skills for This Position

SQL is especially important for this role because data validation frequently requires direct examination of information stored in databases.

Candidates preparing for this opportunity should understand basic SQL commands and concepts used for extracting and validating information. They should be comfortable working with SELECT statements, WHERE conditions, sorting, filtering, grouping, joins, aggregate functions, and basic data comparison.

The purpose of SQL in this position is not necessarily software development. Instead, SQL can be used as an analytical tool for checking whether data meets defined expectations.

For example, a candidate may need to identify records that are missing required values, compare records across tables, check duplicate entries, examine unexpected values, or verify whether a transformation has produced the expected output.

Candidates who can demonstrate practical SQL knowledge through an academic project or data-related exercise can potentially make their technical profile stronger.

Understanding ETL and Data Integration

A foundational understanding of ETL is important because the role is connected to data onboarding and data quality.

Extract refers to obtaining information from a source system. Transform involves applying business rules, formatting, calculations, mappings, or other changes required for the target system. Load refers to moving the processed information into the destination platform.

A data validation professional needs to understand where problems can occur during this process.

A source record might be correct but become incorrect during transformation. Alternatively, the transformation may be correct but the final load may be incomplete. Understanding the basic ETL lifecycle helps the associate determine where a data issue may have originated.

The JD specifically mentions collaboration with ETL developers and senior team members, making this knowledge particularly useful.

Azure Data Factory Knowledge

Azure Data Factory is specifically mentioned in the qualification requirements. Candidates may have encountered ADF through academic projects, training programs, or hands-on exercises.

For this role, candidates should understand the basic purpose of a data integration and orchestration platform and have enough familiarity to understand how data workflows can be organized and monitored.

Applicants who have completed an ADF project should make sure the project is clearly represented on their resume, particularly if it involved data extraction, transformation, loading, validation, or pipeline execution.

The JD does not require a specific certification, so candidates should not claim certification unless they actually possess one.

SAP BODS Awareness

SAP BusinessObjects Data Services, or SAP BODS, is another technology specifically identified in the role requirements.

The position asks for awareness of SAP BODS and a willingness to develop practical expertise. This means candidates should understand that the role may involve working around enterprise data integration and quality processes where SAP-related technologies are relevant.

Candidates who have encountered SAP BODS through training or projects can mention that exposure accurately. Candidates without previous exposure should focus on demonstrating their ability to learn enterprise data technologies rather than falsely claiming professional experience.

Microsoft Excel and VBA Skills

Microsoft Excel is another important part of this position. The qualification section specifically mentions working knowledge of Excel, including VBA and macros, for data preparation, reporting, and task automation.

Candidates should therefore be comfortable working with spreadsheets, organizing datasets, applying formulas, preparing reports, and performing data-related tasks.

VBA and macros are particularly relevant because they can automate repetitive Excel-based activities. For a data validation role, automation can help reduce manual effort when performing recurring preparation or reporting tasks.

Candidates who have created Excel macros as part of academic projects, internships, or personal learning should consider mentioning those projects on their resumes.

Finance and Accounting Background

The position begins with a clear emphasis on professionals who have strong accounting skills and are interested in developing a career in the Finance field.

The required qualifications specifically mention Bachelor’s degrees including B.Com and B.Sc. This makes the role relevant for graduates who have a commerce, science, accounting, analytical, or related academic background and who are interested in combining finance knowledge with data management.

A B.Com graduate, for example, may already have familiarity with accounting concepts and financial information while developing additional technical capabilities in SQL, Excel, ETL, and data validation.

The role therefore represents an opportunity to build a profile that combines finance and technology rather than treating them as completely separate career paths.

Check Your Eligibility

Candidates should carefully compare their profile with the stated requirements before applying.

The position requires a Bachelor’s degree, with B.Com and B.Sc. specifically mentioned. The stated experience requirement is 0–1 years, making the role relevant to early-career candidates who satisfy the other requirements.

Candidates should have basic proficiency in SQL for data extraction, validation, transformation, and analysis. They should also have a foundational understanding of ETL processes and data integration workflows.

Familiarity with Azure Data Factory is required, although the JD states that this can come from academic projects, training, or hands-on exercises. Awareness of SAP BusinessObjects Data Services is also expected, along with a willingness to develop practical expertise.

Applicants should also possess basic debugging and troubleshooting capabilities, familiarity with Microsoft Excel including VBA/macros, strong analytical and problem-solving abilities, and good verbal and written communication skills.

The position is based in Hyderabad, and the stated shift timing is 2 PM to 11 PM. Candidates should consider their ability to work according to this schedule before applying.

Be Ready With Your Documents

Candidates should keep their resume updated and ensure that the information accurately reflects their education, technical skills, projects, internships, and relevant training.

A resume for this position should clearly present the candidate’s degree and relevant academic background. If the candidate has worked on SQL, ETL, Azure Data Factory, SAP BODS, Excel automation, VBA, data analysis, or data validation projects, those experiences should be described clearly and truthfully.

Candidates should also keep their educational documents and other standard application information readily available. If an application process requests additional documentation, candidates should provide only authentic and accurate information.

It is particularly important to avoid adding technologies to a resume simply because they appear in the job description. Candidates should list skills they genuinely understand and be prepared to discuss their practical knowledge during the recruitment process.

Why SQL and Data Quality Matter in This Career

Data quality has become increasingly important as organizations rely on large volumes of information for reporting, operations, analytics, finance, and decision-making.

If data contains missing, inconsistent, duplicated, or incorrect information, the resulting reports and processes can also become unreliable. Data validation therefore plays an important role in maintaining confidence in enterprise information.

Professionals who understand both business requirements and technical data processes can be valuable in these environments. A candidate who starts with SQL, Excel, ETL, and data validation can gradually develop additional expertise in data engineering, data quality, analytics, business intelligence, cloud data platforms, or other related areas.

For a finance graduate, these skills can also provide a pathway toward technology-enabled finance operations and data-oriented business roles.

The Global Data Management Team

According to the supplied job description, the Global Data Management team supports strategic data onboarding and data quality efforts across core enterprise platforms.

The team works with business, technology, and project stakeholders to validate data, resolve quality problems, and improve the accuracy, consistency, and usability of information.

This means the role involves collaboration rather than isolated spreadsheet work. Associates may interact with technical professionals such as ETL developers as well as business and project stakeholders.

The ability to communicate clearly is therefore just as important as technical knowledge. A technically correct analysis is most useful when the findings can be documented and communicated in a way that other teams can understand and act upon.

Important Skills to Prepare Before Applying

Candidates interested in this Deloitte opportunity should focus their preparation around SQL, data validation, ETL fundamentals, Azure Data Factory, SAP BODS awareness, Excel, VBA/macros, debugging, root cause analysis, and communication.

SQL preparation should focus on practical data analysis rather than memorizing syntax alone. Candidates should understand how to retrieve information, filter records, join tables, identify duplicates, check missing values, and compare results.

ETL preparation should focus on understanding how data moves from source to target and where validation can be performed throughout the workflow.

Excel preparation should include formulas, data handling, reporting, and basic VBA/macros if the candidate has access to practical learning resources.

Candidates should also practice explaining a technical problem in a structured way. A good troubleshooting explanation should identify the problem, explain how the candidate investigated it, describe the likely cause, and explain how the issue was addressed.

How to Prepare Your Resume

A strong resume for this role should position the candidate as an early-career professional with a combination of finance or analytical education and practical data skills.

Instead of simply writing “SQL” or “Excel” in a skills section, candidates can strengthen their resumes by describing projects where they actually used those technologies.

For example, an academic project involving SQL-based data extraction and validation can demonstrate practical application. An Excel project involving automated reporting can demonstrate spreadsheet and VBA exposure. An ADF project can demonstrate familiarity with cloud-based data integration workflows.

The important point is accuracy. Candidates should never claim professional experience with a technology if they only completed a basic tutorial. However, genuine academic projects, training exercises, and hands-on practice can be presented appropriately.

Work Location and Shift Timing

The stated location for the Services Support Associate I – Data Validation position is Hyderabad.

The shift timing provided in the job description is 2 PM to 11 PM. Candidates should take this schedule into consideration when evaluating the opportunity.

The source information provided for this position does not specify additional work-mode details such as work from office, hybrid, or work from home. Candidates should therefore verify the current application information for the exact work arrangement before joining.

Salary and Benefits

The job information supplied for this position does not mention a salary package, compensation range, incentives, joining bonus, or specific employee benefits.

Candidates should not rely on unofficial salary figures circulating online. Compensation details, if not displayed in the application, should be confirmed through the official recruitment process.

Selection Process

The supplied job description does not provide specific details about the number of interview rounds, assessment tests, technical interviews, HR discussions, or other stages of the recruitment process.

Candidates should therefore avoid assuming a particular selection pattern. The actual process can depend on the recruitment channel and current hiring requirements.

For preparation purposes, candidates should be ready to discuss their academic background, SQL knowledge, data validation concepts, ETL fundamentals, Excel/VBA exposure, problem-solving approach, and relevant projects.

How to Apply

Candidates interested in the Deloitte Services Support Associate I – Data Validation opportunity should use the official Deloitte careers platform or the application source associated with the vacancy.

Deloitte maintains an official careers portal for opportunities across India, including Hyderabad. Candidates should verify the job title, company name, location, qualifications, and current status before submitting an application.

Candidates should also be cautious of unofficial recruitment messages and should never submit inaccurate information or make payments in exchange for employment.

Who Should Consider This Opportunity?

This position can be particularly relevant for B.Com and B.Sc. graduates who want to combine finance or accounting knowledge with data and technology skills.

It can also suit candidates with 0–1 years of experience who have developed practical exposure to SQL, Excel, ETL, Azure Data Factory, or related data technologies through academic projects, training, internships, or hands-on learning.

Candidates who enjoy investigating discrepancies, working with structured information, identifying patterns, solving data problems, and communicating findings may find the nature of this position suitable.

At the same time, applicants should carefully review the technical requirements. This is not purely an accounting position because the role includes SQL, ETL, data integration, data validation, debugging, ADF, SAP BODS, Excel, and VBA-related responsibilities.

Frequently Asked Questions

What is the Deloitte Services Support Associate I – Data Validation role?

It is a data validation and data quality-oriented position with Deloitte Support Services India Private Limited. The role involves reviewing data, identifying anomalies, supporting cleansing and enrichment, validating source and post-load data, documenting quality issues, and working with technical and business teams.

What is the experience required for Deloitte Data Validation Associate?

The stated experience requirement is 0–1 years.

What qualification is required?

The position requires a Bachelor’s degree, with B.Com and B.Sc. specifically mentioned in the supplied requirements.

Is SQL required for this Deloitte role?

Yes. Basic proficiency in SQL for data extraction, validation, transformation, and analysis is specifically mentioned.

Is Azure Data Factory required?

Yes. The qualification section mentions familiarity with Azure Data Factory, including exposure gained through academic projects, training, or hands-on exercises.

Is SAP BODS required?

The position asks for awareness of SAP BusinessObjects Data Services, also known as SAP BODS, along with willingness to develop practical expertise.

Is Excel required?

Yes. The role requires working knowledge of Microsoft Excel, including VBA/macros for data preparation, reporting, and task automation.

Where is the job located?

The stated location is Hyderabad, Telangana, India.

What are the shift timings?

The supplied job description states the shift timing as 2 PM to 11 PM.

Is this a finance job or a technical job?

It combines both areas. The position is intended for professionals with strong accounting skills who want to build a career in Finance, but the responsibilities also involve SQL, ETL, data integration, ADF, SAP BODS, debugging, data validation, and Excel automation.

Is salary mentioned for this position?

No salary figure or compensation range was included in the job information provided.

Are the interview rounds mentioned?

No specific selection or interview process was included in the supplied job description.

Final Thoughts

The Deloitte Services Support Associate I – Data Validation opportunity in Hyderabad can be relevant for early-career candidates who want to build a career combining finance, accounting, data quality, and technology.

The position is especially notable because it does not focus on a single skill. Candidates are expected to bring basic SQL knowledge, ETL understanding, Azure Data Factory familiarity, SAP BODS awareness, Excel and VBA skills, debugging ability, root cause analysis, analytical thinking, and communication skills.

For candidates with a B.Com or B.Sc. background and 0–1 years of experience, developing these skills can create a stronger profile for data management and technology-enabled finance roles. Before applying, candidates should carefully verify the current official vacancy details and ensure that their resume accurately reflects their actual education, projects, skills, and experience.