Level

MongoDB

Senior Associate, HR Shared Services

MongoDB is hiring a Senior Associate, HR Shared Services in Gurugram, India. Level rates it ; you can apply on MongoDB.

Level's read on this job

  • Level rates this HR role Little AI ●○○○: aI is not part of the work.
  • The posting mentions Excel, Successfactors and Zendesk among its tools and skills.
  • Level classes it as a senior role.
  • MongoDB has 381 other open roles on Level.

AI in this role

Manage compensation operations, data analysis, and HRIS workflows within the HR shared services team.

excelsuccessfactorszendesk
compensationhrispayrolldata-validationhr-operations

The HR Shared Services Compensation operations senior associate combines analytical rigour with a service-orientated mindset. They will be comfortable working in the details of HR systems and cases while also understanding the broader impact of compensation data and decisions on employees, managers, payroll, reporting, and business operations.

We are looking to speak to candidates who are based in Gurugram for our hybrid working model.

Key Responsibilities

  • You will play a vital role in processing the backend transactions related to general compensation questions or tasks, along with making sure that the relevant SLA’s are met
  • Review and process requests related to job architecture, job codes, career levels, compensation tiers, pay ranges, compa-ratio, salary positioning, bonus eligibility, and other compensation-related fields in the HRIS
  • Pull ad hoc compensation reports, review data for accuracy and completeness, and help summarize basic findings for the compensation team and business partners
  • Assist with program documentation, supporting records, data integrity, audit readiness, and compliance materials
  • Partner with Compensation, HR Business Partners, Recruiting, Payroll, HRIS, Finance, and regional People Teams to investigate issues, resolve discrepancies, and coordinate end-to-end completion of transactions
  • Adhere to and demonstrate high proficiency in agreed critical metrics & SLAs
  • Create, maintain, and improve standard operating procedures, knowledge articles, checklists, process maps, and case-handling guidance for compensation processes
  • Perform data validation, reconciliation, and quality-control checks across SuccessFactors, case-management tools, payroll inputs, compensation planning files, and downstream reporting systems

Expected Skills

  • Experience for 4+ years in HR Operations / Shared Services in an HR Shared Services role (EMEA and Americas)
  • Strong Excel or spreadsheet skills, including data validation, lookups, filters, pivot tables, reconciliation, and basic analysis
  • A continuous-improvement mindset, with the ability to identify patterns, diagnose process issues, and translate observations into practical improvements
  • Can function independently, with minimal mentorship and supervision
  • Working knowledge of compensation concepts, including salary ranges, market positioning, comp ratio, job architecture, pay changes, promotions, merit, bonus, and compensation data governance
  • Should be proficient with HRMS and ticketing tools such as Zendesk, SuccessFactors, and should have been excellent in meeting HRSS performance parameters - case handling, etc

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 3273519991

How we rate this

Senior Associate, HR Shared Services at MongoDB rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

CompensationHrisPayrollData ValidationHr OperationsExcelSuccessfactorsZendesk

Pay

Typical HR job
$120k

This posting doesn't list pay. Use the typical HR figure when pay comes up. See HR jobs

Questions you could be asked

  1. Tell me about a project where compensation was part of your work. What did you do?
  2. Tell me about a project where hris was part of your work. What did you do?
  3. Tell me about a project where payroll was part of your work. What did you do?
  4. Tell me about a project where data validation was part of your work. What did you do?
  5. Tell me about a project where hr operations was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Compensation, Hris, Payroll, Data Validation, and Hr Operations. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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