Deloitte Data Validation Associate Recruitment 2026

Deloitte Support Services India is hiring a Services Support Associate I for data validation within its Global Data Management team in Hyderabad, open to candidates with 0–1 years of experience. The degree requirement is what makes this posting unusual and worth your attention: it names B.Com and B.Sc: not B.Tech. If you are a commerce or science graduate who has taught yourself SQL and been told repeatedly that data roles are closed to you without an engineering degree, this is a rare front door, and those are worth knowing about.

For more roles of this kind, browse IT & Private Sector Jobs for Freshers on FreshersJob4U. If you are unsure where a data validation job sits relative to the titles you keep seeing, our breakdown of data analyst vs data scientist vs ML engineer is worth reading first. This role sits upstream of all three, on the data quality side that makes their work possible.

Apply Online — Deloitte USI, Requisition 365722

Quick Overview

Parameter	Details
Organisation	Deloitte Support Services India Private Limited (Deloitte USI)
Role	Services Support Associate I — Data Validation
Team	Global Data Management, Enabling Areas
Requisition Code	365722
Location	Hyderabad, Telangana
Shift Timings	2:00 PM to 11:00 PM
Experience	0–1 years
Qualification	Bachelor’s degree — B.Com, B.Sc
Core Skills	SQL, ETL concepts, Azure Data Factory, SAP BODS, Excel with VBA/macros, RCA
Salary / CTC	Not disclosed in the official posting
Application Deadline	Not stated — applications open on a rolling basis
Application Mode	Online via Deloitte’s USI careers portal

The 2 PM to 11 PM Shift Is the Real Decision Here

The posting states the shift plainly, and it deserves more weight than a single table row. Deloitte USI supports Deloitte’s US member firm, and this window is aligned to US business hours. It is a stated condition of the role, not a rotating arrangement you might escape.

Be honest with yourself about what that means day to day. You leave home in the early afternoon and get back close to midnight. Weekday evenings (family dinners, classes, anything that happens between 7 and 11 PM) are gone. If you live with people on a normal schedule, you will mostly see them at weekends. If you are studying for a professional exam or a master’s alongside work, the evening study slot most people rely on is not available to you.

The other side is real too, and worth stating: your mornings are genuinely free, which suits people who prepare for competitive exams before work or who simply function better later in the day. Commutes run against peak traffic in both directions. And for a fresher, US-shift roles at the large professional services firms are often where the structured training and the international exposure sit.

It is a trade, not a drawback, but it is a trade you should make deliberately rather than discover in month two. If a late shift is incompatible with your situation, our roundup of work-from-home jobs for freshers in 2026 covers options with more schedule flexibility.

What You Will Actually Do

The responsibilities are consistently framed as supporting work: “assist in”, “support”, “help validate”, “work with ETL developers and senior team members”. That is honest positioning for a 0–1 years role, and it tells you the shape of the first year:

• Reviewing data to identify anomalies, inconsistencies and gaps.
• Supporting data cleansing and enrichment activities under established guidelines.
• Validating source extracts against business requirements, data rules and expected results.
• Performing post-load validation to confirm accuracy, completeness and rule adherence.
• Documenting data quality issues, validation results and resolution status.
• Working with ETL developers and senior team members to implement data quality checks.
• Investigating data defects and validation failures through root cause analysis.
• Collaborating with business, IT and project teams to resolve data issues.

The career logic of this role is worth spelling out. Data validation sits at the entry point of the data profession: you are checking what the pipelines produced, finding where it broke, and documenting why. It is less glamorous than building models, and it is how a large number of working data engineers and analysts actually started, because you cannot fake understanding a data model when your job is finding everything wrong with it. The named tools reinforce that: Azure Data Factory and SAP BODS are ETL platforms, and you will be working alongside the developers who build on them.

Required Skills

Skill	Level expected
SQL	Basic proficiency for data extraction, validation, transformation and analysis — the one genuine prerequisite
ETL processes	Foundational understanding of ETL and data integration workflows
Azure Data Factory (ADF)	Familiarity, explicitly acceptable via academic projects, training or hands-on exercises
SAP BODS	Awareness, plus willingness to develop practical expertise
Root Cause Analysis	Ability to investigate data and process issues in a structured way
Debugging	Basic understanding of code debugging and troubleshooting
Microsoft Excel	Working knowledge including VBA/macros for data preparation, reporting and automation
MS Office	Proficiency in Word, Excel and PowerPoint

Read the hedging in that list carefully, because it is deliberate. ADF is wanted “preferably through academic projects, training, or hands-on exercises”. That is a posting telling you coursework counts. SAP BODS asks only for “awareness… and willingness to develop practical expertise”, which is as close as a job description comes to saying we will teach you this. Only SQL is stated as an actual proficiency requirement.

So the realistic preparation is narrow: get your SQL genuinely solid, be able to explain what ETL means and why data quality checks exist, and do not overlook the Excel VBA line: macros are the item most candidates skim past and the one most likely to come up, because a large share of the day-to-day automation in roles like this still happens in Excel.

Eligibility Criteria

• Qualification: Bachelor’s degree — the posting names B.Com and B.Sc. It does not list B.Tech, BCA or other degrees. If you hold a different bachelor’s degree, it is worth applying and asking rather than assuming, but commerce and science graduates are the stated target.
• Experience: 0–1 years.
• Technical: Basic SQL proficiency; foundational ETL understanding; familiarity with ADF; awareness of SAP BODS; RCA; basic debugging; Excel including VBA/macros.
• Behavioural: Strong analytical and problem-solving skills, attention to detail, strong written and verbal communication, ability to work with cross-functional teams, and willingness to learn in a fast-paced environment.

One internal contradiction not to be put off by: the body text says Deloitte is seeking “a meticulous and experienced Associate Analyst”, while the qualifications section states 0–1 years. The qualifications section is the one that governs eligibility screening. Freshers are in scope.

The posting also carries three different names for the same job: “Services Support Associate I” in the summary, “Service Associate” in the portal listing, and “Associate Analyst” in the body. When you search for it or reference it in an email, quote requisition code 365722.

Who Should Apply?

• B.Com and B.Sc graduates who want to move into data work and have taught themselves SQL. This posting is one of the few that does not gate that ambition behind an engineering degree.
• Candidates who genuinely enjoy detail work: reconciling, spotting what does not add up, and documenting it clearly.
• Anyone who has touched Azure Data Factory or any ETL tool in a college project or a training course: the posting explicitly accepts that as familiarity.
• Candidates comfortable with a fixed 2 PM to 11 PM shift in Hyderabad.
• Those who want a large-firm start with structured training, and are willing to begin in a support capacity.

Who Is This Role Not For?

• B.Com graduates aiming at accounting, audit or CA-track finance work. Despite the opening line about accounting skills, none of the stated requirements are accounting, and this role will not build that career.
• Anyone who cannot commit to a 2 PM to 11 PM shift, including students planning to pursue evening classes or a professional qualification alongside work.
• Candidates looking to build models or do analytics from day one. This is data quality and validation, upstream of analysis.
• Those who dislike documentation. Recording issues, results and resolution status is a stated responsibility, not an afterthought.
• Candidates who need the CTC confirmed before applying, since no figure is published.

Salary

Deloitte has not disclosed a CTC in this posting. For an entry-level associate role at a large professional services firm, expect a standardised band communicated at the offer stage rather than negotiated. Our guide on how to negotiate salary as a fresher covers what is realistically movable there.

Two things specific to this posting are worth asking about when a number does arrive: whether a shift allowance applies, since a 2 PM to 11 PM schedule commonly carries one and it can meaningfully change the figure; and whether transport is provided for the late finish. Neither is mentioned in the posting either way. When you do have a CTC figure, our freshers in-hand salary calculator converts it to a realistic monthly take-home after PF and tax, which is the number that actually decides whether an offer works for you.

Selection Process

The posting does not describe the interview rounds. Based on what it asks for, prepare on three fronts:

• SQL, properly. Joins, aggregations, filtering, and, given the role, questions framed around finding bad data: duplicates, nulls where there should not be any, records that fail a business rule. Expect to write queries, not just describe them.
• Data concepts. What ETL means, what a source extract is, why post-load validation exists, and what you would check to confirm a load was complete and accurate. You do not need depth here; you need to sound like you understand why the job exists.
• A structured problem story. RCA is named twice in the posting. Have one example (from a project, an internship, or even a college assignment) where something was wrong, you traced it to a cause, and you can narrate the steps in order.

Communication is listed twice in the requirements, and the role explicitly involves collaborating with business, IT and project teams, so the behavioural round carries real weight. Our top 20 HR interview questions for freshers and our guide to answering “tell me about yourself” cover what tends to decide these conversations.

Similar Data Roles Worth Comparing

• S&P Global Data Analyst, Ahmedabad — a comparable entry-level data role at a large firm.
• ZS Associate, Platform Services — Data Engineer — the engineering side of the same pipeline you would be validating.
• StoneX Apprentice Data Engineer — a structured apprenticeship route into data engineering.
• Collins Aerospace Associate Engineer, Data Analytics — if analytics rather than data quality is where you want to land.
• Cognizant Service Desk recruitment — another broad-degree opening if you want a second application running in parallel.

How to Apply

1. Open the official listing on Deloitte’s USI careers portal: Requisition 365722.
2. Click Apply and create or sign in to your candidate profile.
3. Complete your educational and personal details.
4. Upload your resume. Put SQL first among your skills, name any ETL or Azure Data Factory exposure explicitly (including coursework, since the posting accepts it) and list Excel with VBA rather than just “MS Office”. Our guide to building an ATS-friendly resume covers how to structure this when your degree is in commerce or science rather than engineering.
5. Submit, and confirm the shift timing and any shift allowance at the first recruiter conversation.

Important Links

Resource	Link
Apply Online	Requisition 365722 →
Deloitte USI Careers	usijobs.deloitte.com
In-Hand Salary Calculator	Check your take-home from a CTC offer

About Deloitte Support Services India

Deloitte Support Services India Private Limited is part of Deloitte’s US India (USI) operations, which provide services and support to Deloitte’s member firms. This role sits within Enabling Areas: Deloitte’s internal functions, in the Global Data Management team, which handles data onboarding onto core enterprise platforms and works with business, technology and project stakeholders to validate data and improve its accuracy, consistency and usability across the organisation.

Deloitte states that its professional development investment includes DU: The Leadership Center in India, based in Hyderabad: the same city as this role. For a fresher, the practical significance of joining an internal enabling function rather than a client-facing team is that the work is steadier and less travel-dependent, and the systems you learn are enterprise platforms you will encounter again elsewhere.

Frequently Asked Questions (FAQs)

Q1. Is this an accounting or finance job?
No, despite the opening line of the posting. Every stated qualification is a data skill: SQL, ETL, Azure Data Factory, SAP BODS, RCA, Excel VBA. It is a data validation and data quality role within a finance-facing enabling function. If an accounting career is your goal, this is not the route to it.

Q2. Can B.Tech graduates apply?
The posting names B.Com and B.Sc and does not list B.Tech. Applying and asking is reasonable, but commerce and science graduates are the stated target, which, unusually, makes this more open to non-engineers than most data roles, not less.

Q3. Do I need Azure Data Factory or SAP BODS experience?
Not professionally. The posting accepts ADF familiarity gained through academic projects, training or hands-on exercises, and for SAP BODS asks only for awareness plus willingness to develop expertise. SQL is the one real prerequisite.

Q4. What are the working hours?
2:00 PM to 11:00 PM, stated in the posting. This is a fixed US-aligned shift, not a rotating one.

Q5. Is there a shift allowance?
The posting does not say. Ask the recruiter directly, since it can materially change the effective package on a late shift.

Q6. The description says “experienced Associate Analyst”: can freshers apply?
Yes. The qualifications section states 0–1 years, and that is what governs eligibility. The word “experienced” in the body is inconsistent with the stated requirement.

Q7. What is the salary?
Not disclosed. Expect a standardised entry-level band communicated at the offer stage, and ask separately about shift allowance and transport.

Q8. Is there an application deadline?
None is stated. The listing appears open on a rolling basis, so applying early is the safer assumption.

Source & Verification

• Source: Official Deloitte USI careers listing: Service Associate, Global Data Management, Data Validation, Hyderabad; Requisition code 365722
• Application Portal: usijobs.deloitte.com, listing verified live 12 September 2026
• Last Checked: 12 September 2026

FreshersJob4U is not affiliated with Deloitte. This post is for informational purposes only. Salary, shift allowance, selection rounds and current application status are not specified in the official posting. Verify all details directly on Deloitte’s careers portal before applying or accepting an offer.