Associate Data Quality Specialist

This opportunity is suited to candidates who want to begin their careers in data quality, data operations, compliance-oriented processing, and business support. The work combines careful data handling with process discipline, making accuracy, consistency, and the ability to identify exceptions important parts of the role.

🔎 What You'll Work On

The day-to-day work is centered on keeping business data accurate, complete, and properly maintained across designated systems.

You may be responsible for data cleansing, remediation, enrichment, validation, and verification according to established guidelines. This can include reviewing records, updating missing or incorrect information, uploading documents, and checking whether information meets defined quality requirements.

A key part of the position is identifying data discrepancies, exceptions, and missing information. When an issue cannot be resolved directly, it needs to be communicated clearly to the appropriate supervisor or team member.

The role also includes data reconciliation between applications. For example, if a customer or business record contains different information across two systems, the associate may need to identify the difference and flag it for review.

⚙️ Process & Quality Standards

The position operates within established standard operating procedures (SOPs), workflows, quality guidelines, and audit requirements. Candidates are expected to learn project-specific processes and follow them consistently rather than relying on assumptions.

Before completing assigned tasks, quality checks are expected to reduce errors and rework. This makes attention to detail particularly important in a high-volume environment.

Accuracy and process compliance are core expectations for this role.

Daily, weekly, and monthly activities must be completed within defined timelines. Assigned trackers and process records also need to be maintained accurately and on schedule.

🧩 Data Reconciliation Work

Data reconciliation is one of the practical areas candidates can expect to encounter in this position.

The basic objective is to compare information from different applications or records and identify differences. A simple example would be checking whether a document record in one system matches the corresponding information maintained in another system.

This requires careful observation because discrepancies may involve missing values, inconsistent information, outdated records, or incomplete documentation.

Candidates who are comfortable comparing records systematically and documenting exceptions will be well aligned with this part of the job.

💻 Systems & Computer Skills

The role requires employees to navigate multiple systems and applications quickly while maintaining accuracy. Strong general computer skills and familiarity with Microsoft Office are listed among the requirements.

Microsoft Office knowledge can be particularly useful for maintaining trackers, reviewing information, organizing records, and supporting management information reporting.

Microsoft Office Data Validation Data Reconciliation Document Management

The position does not specify a requirement for programming languages such as Python or SQL. Therefore, candidates should not assume that software development skills are mandatory for this particular opening.

📊 Reporting & MIS Support

The associate will also support Team Leads with reports, trackers, and Management Information System (MIS) data.

This means accuracy extends beyond individual records. Information entered into trackers and reports may be used by team members or management to understand operational progress and completed activities.

A practical skill to develop for this environment is the ability to maintain structured spreadsheets without introducing inconsistencies. Candidates should also be comfortable working with repetitive datasets while maintaining the same quality level throughout the process.

🤝 Team & Communication Expectations

Although much of the work involves data and documentation, communication remains an important part of the position.

Associates are expected to communicate task progress, issues, discrepancies, and concerns to supervisors in a timely manner. The role also involves working closely with team members and supporting Team Leads with operational activities.

The job description emphasizes written and verbal communication, customer service orientation, comprehension, critical thinking, and problem-solving. These requirements indicate that candidates are expected to do more than simply process records; they must also understand instructions and communicate exceptions accurately.

Strong attention to detail matters, but so does knowing when an issue needs to be escalated rather than incorrectly resolved.

🕐 Working Schedule

The position follows a 12:00 PM to 9:00 PM schedule and uses a hybrid working model. The listed job location is CSC's Velankani Campus in Bangalore, Karnataka.

The original posting also identifies Bangalore/Chennai as the role locations, so candidates should review the specific location associated with the position during the recruitment process.

Hybrid Full-Time

🎯 Who Can Fit This Role

CSC lists B.Com, BBA, and MBA Commerce graduates with 0–4.5 years of experience for this opportunity. The description also mentions transactional or administrative experience involving document review and evaluation, Business-to-Business customer service experience, and legal compliance experience.

Candidates should demonstrate:

• Strong attention to detail and accuracy

• Good comprehension and critical-thinking ability

• Organized working habits

• Ability to manage time-sensitive activities

• Comfort working in a high-volume environment

• Ability to navigate multiple systems

• Strong written and verbal communication

• Adaptability and willingness to learn independently

• Solid computer skills

• Customer-service orientation

These requirements make the position particularly relevant to candidates interested in data quality, operations, compliance support, document processing, and business administration.

📚 Skills Worth Building

Candidates preparing for this type of position can strengthen their profile by becoming comfortable with Excel, data validation, spreadsheet-based reconciliation, document management, and basic data-quality concepts.

For example, Excel skills such as sorting, filtering, conditional formatting, lookup functions, and duplicate identification can make it easier to review and reconcile operational datasets.

Understanding concepts such as data accuracy, completeness, consistency, validation, exception handling, and reconciliation can also help candidates explain their approach during interviews.

Since the role does not specifically require programming, candidates should prioritize demonstrating their ability to follow processes accurately, identify errors, document findings, and communicate issues clearly.

🔍 What Recruiters May Evaluate

Interview discussions for a role with these responsibilities may focus on practical workplace situations rather than advanced programming.

Candidates should be prepared to explain how they would handle an incorrect record, missing document, mismatch between two systems, or a task with a strict deadline.

A strong response should demonstrate a structured approach: understand the requirement, verify the information, identify the discrepancy, follow the defined process, document the issue, and escalate when necessary.

Recruiters may also assess communication, adaptability, accuracy, organization, and willingness to learn because these qualities are directly connected to the responsibilities described for the position.

🌐 Working at CSC

CSC describes itself as a global business, legal, and financial services company headquartered in Wilmington, Delaware, with operations and capabilities across more than 140 jurisdictions and more than 8,000 colleagues. The company provides business administration and compliance-related services to organizations worldwide.

For someone beginning a career in data operations, this environment can provide exposure to enterprise processes, structured quality systems, compliance-oriented workflows, operational reporting, and cross-functional collaboration.

The company also states that employees can have global career opportunities and access to benefits such as annual leave, tuition reimbursement, referral bonuses, and performance-related success-sharing or commission plans depending on the role.

📝 Resume Positioning

For candidates applying with limited professional experience, the resume should focus on evidence of accuracy, data handling, documentation, Excel, analytical thinking, and process discipline.

Academic projects involving datasets can be relevant when they demonstrate careful data cleaning, validation, record comparison, or reporting. Administrative internships, customer-service experience, document verification work, or compliance-related exposure can also connect well with the responsibilities of this role.

Avoid presenting unrelated technical skills as the primary qualification. For this position, a recruiter should be able to quickly see that you can work accurately with information, follow defined procedures, identify exceptions, and communicate effectively.

🔑 Keywords for Resume

Data Quality • Data Validation • Data Cleansing • Data Reconciliation • Data Remediation • Data Enrichment • Document Management • Data Processing • Quality Assurance • Microsoft Office • MS Excel • MIS Reporting • Data Accuracy • Data Completeness • Exception Handling • SOP Compliance • Process Management • Record Management • Business Operations • Customer Service • Legal Compliance • Administrative Operations • Critical Thinking • Problem Solving • Attention to Detail

💡 Final Thoughts

This CSC opportunity is primarily a data operations and quality-focused position, rather than a software development role. It can suit graduates who are comfortable working with structured information, reviewing records, following defined processes, and maintaining a high level of accuracy. The combination of data validation, reconciliation, documentation, reporting, and enterprise process exposure makes it relevant for candidates beginning careers in data quality, operations, compliance support, and business services.