Okta logo

Data Quality Analyst II

Okta

Bengaluru, INonsitePosted May 19, 2026

At a glance

Highlights

  • Hybrid schedule (2 days in-office, 3 days WFH)
  • Career-defining work on identity security
  • Global collaboration across sales and marketing teams

Heads up

  • PST/rotational shift dynamics
  • Hybrid schedule requires office presence 2 days per week

Why this role might suit you

The role offers a mid‑level data quality professional the chance to shape data integrity for a leading identity platform, leveraging Salesforce expertise while collaborating across global teams in a hybrid environment.

Skills

salesforcedemandtoolsdataloadersalesforceinspectorexcelgoogle-sheetssqlsoqlanaplandun-and-bradstreetzoominfotraction-hierarchies

About the role

Secure Every Identity, from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Detail-oriented and results-driven Data Quality Analyst II with an extensive background in improving data accuracy, completeness, and consistency in our CRM (Salesforce). Apt at identifying data quality issues, developing processes to clean and maintain data, and providing actionable insights to enhance the overall customer data management strategy. Proficient in data governance, data profiling, and leveraging tools to ensure optimal data integrity for business operations

Responsibilities

Data Enrichment: Regularly audit and clean account data, hierarchies, and territory alignments within Salesforce to ensure accuracy, completeness, and relevance.

Data Quality Monitoring: Manage deduplication processes, data validation, and ongoing quality reporting.

Data Governance: Ensure data management practices align with internal policies, compliance requirements, and industry best practices.

Process Improvement: Identify, document, and raise data quality issues regarding system processes and procedures.

Collaboration: Work cross-functionally with global sales, marketing, and regional teams to drive data issues to resolution.

Reporting: Create and modify Salesforce reports to suit localized and global field needs.

Ticketing Systems & Support: Provide timely guidance to end-users with data entry, account creation, and general system requests.

Experience

Minimum of 3+ years of professional hands-on experience in a Data Quality or similar data management role.

Ensuring strict SLAs are met and all data support requests are driven to full resolution.

Successfully leading data quality improvement initiatives for Salesforce to optimize data accuracy

Conducting regular data audits to identify duplicates, missing information, and other discrepancies, while swiftly implementing corrective actions.

Creating automated reports in Salesforce to flag potential data issues in real-time.

You are used to:

Managing and structuring large datasets to prepare them for analytics and mass system uploads.

Working with cross-functional to transform data and increase overall system integrity.

Developing dynamic dashboards and reports to track actionable key data quality metrics.

Thriving in a flexible work environment, managing a hybrid schedule (2 days in-office, 3 days WFH), and successfully handling PST/rotational shift dynamics.

Consistently adhering to company policies and maintaining a high standard of professional communication (both written and verbal).

Multitasking efficiently between urgent, ad-hoc requests and daily operational commitments.

You are known for:

Attention to Detail: Exceptional focus on data accuracy and an innate ability to spot minor discrepancies or inconsistencies.

Problem-Solving Skills: Creative and proactive in developing sustainable solutions to data-related issues and improving legacy data processes.

Process Documentation: Ability to clearly document workflows, guidelines, and best practices for maintaining long-term data integrity.

Technical Skills

CRM System: Salesforce (Required)

Data Manipulation: Advanced Excel / Google Sheets

Data Querying: Salesforce Reporting & Dashboards

Data Quality Tools: DemandTools, DataLoader, SalesforceInspector

Data Enrichment Tools: Dun & Bradstreet (D&B), ZoomInfo, Traction Hierarchies

Preferred Skills (Optional)

Data Visualization: Anaplan

Advanced Data Querying: SQL / SOQL

Certifications (Optional)

Salesforce Certified Administrator or Salesforce Certified Data Architect.

Qualifications:

Degree: Bachelor’s at minimum with 3+ yrs of experience

#P22070_3444719

#LI_Hybrid

The Okta Experience

Supporting Your Well-Being

Driving Social Impact

Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.

Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.

Questions about this role

  • How do I apply to this Data Quality Analyst II role at Okta?

    Click "Apply with AI Applyd" above. We auto-fill the application from your resume and answer screening questions in seconds. No copy and paste, no juggling tabs.

  • What's the typical salary for QA Engineer in India?

    Compensation for QA Engineer roles in India varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our QA Engineer hub for India medians across recent openings.

  • How fast does AI Applyd auto-apply?

    Most applications complete in under 90 seconds. You can track the status in your dashboard and watch the screenshot proof land the moment the application submits.

  • What ATS does Okta use?

    AI Applyd supports Greenhouse, Lever, Ashby, Workday, iCIMS, SmartRecruiters, LinkedIn Easy Apply, and most other ATS platforms. If we can submit through the platform, we do.

Want AI Applyd to auto-apply to roles like this?

We tailor your resume per posting, fill the forms, and track replies for you.