Straive Hiring Data Quality Analyst | Freshers Apply Now

Short Intro

Straive is hiring Data Quality Analysts for its Mumbai office, offering an entry-level opportunity for fresh graduates who want to begin their careers in data, analytics operations, and information management. As organizations increasingly depend on accurate and reliable data to drive decisions, the role of a Data Quality Analyst has become critical across industries such as publishing, research, analytics, BFSI, healthcare, and digital platforms.

This role is well-suited for candidates who are detail-oriented, comfortable working with structured information, and interested in understanding how data accuracy impacts downstream analytics and business outcomes. Freshers who enjoy validating data, identifying inconsistencies, and following structured processes will find this role especially relevant.

Job Highlights

Job Description

As a Data Quality Analyst at Straive, you will be responsible for ensuring that data used across projects and client deliverables is accurate, consistent, and aligned with defined quality standards. The role focuses on reviewing datasets, validating records, identifying errors, and supporting quality assurance processes that safeguard the integrity of analytical outputs.

Rather than building advanced models, this role emphasizes discipline, process adherence, and a strong understanding of how poor-quality data can affect reporting, research, and decision-making. For freshers, this position provides a strong foundation in data operations and governance. Over time, analysts gain exposure to data workflows, quality metrics, and cross-functional collaboration, making it a valuable stepping stone into analytics, business intelligence, or domain-specialized data roles.

Roles & Responsibilities

• Review and validate datasets to ensure accuracy, completeness, and consistency
• Identify data discrepancies, duplicates, and formatting issues
• Apply predefined quality checks and validation rules
• Document data issues and track resolutions systematically
• Coordinate with internal teams to clarify data requirements
• Support periodic data audits and quality reporting
• Maintain logs, checklists, and quality documentation
• Contribute to continuous improvement of data quality processes

Skills Required

Technical / Tool-based Skills

• Working knowledge of Microsoft Excel or spreadsheet tools
• Basic understanding of structured data and databases
• Familiarity with data validation and quality checks
• Exposure to SQL or data tools is an added advantage

Analytical / Business Skills

• Strong attention to detail and accuracy
• Logical thinking and methodical approach to work
• Ability to follow processes and quality standards
• Clear written and verbal communication
• Willingness to learn data governance concepts

Eligibility Criteria

• Graduation in any discipline from a recognized institution
• Freshers are eligible to apply
• Basic comfort with data, numbers, or structured information
• Good communication skills and a quality-focused mindset

Salary Details

The expected salary range for this role is ₹3 – ₹6 LPA. Actual compensation may vary depending on educational background, interview performance, and project alignment. This range aligns with entry-level data quality and analytics operations roles in India.

Selection Process (Expanded)

Application & Resume Review
Resumes are screened for educational background, clarity, and basic data exposure.
Preparation tip: Highlight coursework or projects involving data handling or validation.

Quality / Aptitude Assessment
Some candidates may face assessments focused on attention to detail, logical checks, or basic data interpretation.
Preparation tip: Practice spotting errors in tables or datasets.

Functional Interview
Interviewers assess understanding of data accuracy, process adherence, and problem-solving approach.
Preparation tip: Be ready to explain how you would check data quality step by step.

HR Discussion
Covers role fit, work expectations, location, and career aspirations.
Preparation tip: Show interest in data operations and long-term growth.

What This Role Means in the 2025–2026 Job Market

As data volumes grow across industries, companies are investing more in data quality and governance functions. Between 2025 and 2026, organizations are expected to continue hiring entry-level professionals to support quality assurance, compliance, and analytics readiness.

Data Quality Analyst roles are especially important in analytics-driven environments, where even small errors can impact business decisions. For freshers, this role provides exposure to enterprise data standards and quality frameworks, which are increasingly valued across analytics, sustainability reporting, and compliance-driven domains. Experience gained here can open pathways into analyst jobs for freshers, business analysis, or specialized data governance roles.

Tips for Freshers

Why Data Quality Roles Are Growing
Every analytics initiative depends on clean data. Companies hire data quality professionals to prevent downstream issues.

Skills Employers Expect at Entry Level
Accuracy, consistency, and documentation skills matter more than advanced tools initially.

Preparing Without Prior Experience
Practice validating datasets, checking formats, and documenting findings clearly.

Common Fresher Mistakes
Rushing through data, ignoring documentation, or failing to explain findings logically.

Helpful Resources

Data Quality Fundamentals
Source: IBM Data Governance resources
Explains why data quality matters in enterprises.
Usage tip: Focus on dimensions like accuracy and consistency.

Excel for Data Validation
Source: Microsoft Learn
Covers practical Excel checks.
Usage tip: Practice conditional formatting and validation rules.

Introduction to Data Governance
Source: DAMA International
Introduces governance concepts.
Usage tip: Understand how quality fits into governance.

Basic SQL for Analysts
Source: W3Schools
Introduces querying structured data.
Usage tip: Learn simple SELECT and WHERE clauses.

Interview Insights

Interviewers typically focus on how candidates approach accuracy and problem-solving. Expect scenario-based questions on identifying data issues and explaining checks. Clear communication and structured thinking are more important than advanced technical depth. Preparation approaches overlap with business analyst interview preparation and foundational analytics roles.

How to Apply

Candidates should apply through the official Straive careers portal or authorized recruitment platforms. Always verify job details directly from official company sources before submitting applications.

About Company

Straive is a global provider of digital content, analytics, and technology solutions, serving clients across publishing, education, research, and enterprise domains. The company focuses on transforming information into actionable insights through a combination of domain expertise, data operations, and advanced analytics.

With a strong emphasis on quality, accuracy, and scalable delivery, Straive supports organizations in managing complex data and content ecosystems. For early-career professionals, the company offers structured roles, exposure to enterprise data practices, and opportunities to build foundational skills that support long-term growth in analytics, quality assurance, and information management.

Disclaimer

This article is published for informational purposes only. We are not a recruiter and do not charge any fees nor promote any third parties to do so. Candidates are advised to verify job details from official Straive sources before applying. Do not pay anyone who claims to offer jobs, interviews, or guaranteed selection, as such claims are fraudulent.