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SPE-CX-Backoffice Helpdesk

Cognizant

Full time On-site
Location
Bangalore
Work mode
On-site
Salary
₹3.3L – ₹9.5L a year estimatetypical for Customer Services Jobs in India, 49 posts
Posted 7 hr ago Last checked 39 min ago

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Role at a glance

You will
  • This role supports a customer experience back office helpdesk team in an MNC environment focusing on query resolution ticket management and…
  • + Handle incoming back office requests by analyzing tickets and documenting detailed case information to ensure accurate and timely…
  • + Coordinate with customer facing teams to clarify requirements and provide reliable back office support that improves overall customer…
Must-have skills
Back Office OperationsHelpdesk SupportMySQLSQLData Quality
Work mode
On-site

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Job description

Location: Bangalore, India

Job Summary
This role supports a customer experience back office helpdesk team in an MNC environment focusing on query resolution ticket management and data handling using PL SQL and mySQL. The specialist collaborates with cross functional teams to maintain high service quality ensure accurate data processing and enable smooth customer operations while working from office in rotational shifts.
Responsibilities
+ Handle incoming back office requests by analyzing tickets and documenting detailed case information to ensure accurate and timely resolution of customer issues
+ Coordinate with customer facing teams to clarify requirements and provide reliable back office support that improves overall customer satisfaction
+ Analyze recurring incidents and trends using structured queries in PL SQL and mySQL to identify root causes and recommend sustainable improvements
+ Develop and execute data retrieval and update scripts in PL SQL and mySQL to support daily operations and reporting needs while protecting data integrity
+ Validate data consistency across multiple systems by performing comparison checks and corrections to minimize customer impacting discrepancies
+ Prepare clear and concise status updates on ticket queues and data issues to keep stakeholders informed and enable informed operational decisions
+ Follow defined standard operating procedures for ticket handling and documentation to maintain compliance with internal and external quality standards
+ Collaborate with technology and operations teams to refine helpdesk workflows that reduce resolution time and improve the reliability of back office processes
+ Communicate effectively in English over calls and written channels to capture user requirements and explain resolutions in a clear and respectful manner
+ Apply basic data quality practices when reviewing customer and transaction records to prevent duplication and ensure accurate reporting for decision makers
+ Monitor helpdesk dashboards during rotational shifts to prioritize critical items and ensure continuous coverage for global users in a work from office setup
+ Participate in periodic audits and quality reviews to identify process gaps and support corrective actions that enhance overall service performance
+ Contribute ideas for automation and continuous improvement in query handling and data processing to support the company mission of delivering reliable and efficient customer experiences
Qualifications
+ Meet the requirement of two to four years of experience in back office operations or helpdesk support with a focus on database driven environments
+ Demonstrate strong proficiency in PL SQL and mySQL including writing queries joins and aggregate functions to support operational data needs
+ Exhibit clear spoken and written English communication skills to interact with internal stakeholders and document technical and process information
+ Show familiarity with concepts of data quality such as completeness accuracy and consistency and apply them in day to day operational tasks
+ Adapt to rotational shift schedules and work from office expectations while maintaining reliability punctuality and a strong focus on service excellence
+ Display an analytical mindset with the ability to interpret data outputs troubleshoot issues and collaborate with teams to achieve measurable outcomes
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

Job data: Headcount Labs (headcountlabs.com), ODbL 1.0. The job description belongs to the employer. Location data © OpenStreetMap contributors and Overture Maps.

Key skills

Required

Back Office OperationsHelpdesk SupportMySQLSQLData Quality

Soft skills

CommunicationPunctuality

Job market insights

5active Back Office Operations jobs in India
160active MySQL jobs in Bangalore
₹3.3L – ₹9.5L advertised yearly salary for Customer Services Jobs in India (middle half of 49 posts that show a salary; median ₹5.5L)
111 more open jobs at Cognizant

Most Customer Services Jobs posts in Bangalore ask for 3–6 years of experience (42% of 138 that say).

Hiring most for Customer Services Jobs in Bangalore

  • Ethos Life6 open jobs
  • Riveron6 open jobs
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Jobs asking for Back Office Operations in India also ask for

  • MS PowerPoint60%
  • Process Improvement40%
  • Business Analysis20%
  • Java20%
  • JavaScript20%

From live job posts on CoreHRx, updated 7 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.

Questions about this job

What is the salary for this SPE-CX-Backoffice Helpdesk job?

The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹3.3L – ₹9.5L a year (typical for Customer Services Jobs in India, 49 posts).

Where is this job based?

In Bangalore (on-site).

What kind of job is this?

It is a full time job.

This guide is for Indian job seekers preparing for SQL rounds in data analyst, data engineer, backend developer and database roles, from freshers to experienced professionals. It has 60 questions in three levels: easy covers joins, grouping and NULLs; medium covers window functions, CTEs, indexes and isolation levels; hard covers locking, MVCC, query tuning and classic puzzles such as login streaks and medians. Answers use ANSI SQL, with MySQL 8 and PostgreSQL notes where the two differ. Write each query against your own sample tables first, then compare your result with the sample answer.

Questions you may be asked

  1. What is the difference between WHERE and HAVING?
  2. What is the difference between DELETE, TRUNCATE and DROP?
  3. What is the difference between an INNER JOIN and a LEFT JOIN?
  4. What is the difference between a primary key and a unique key?

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