Compensation Research Data Analyst

22 hours ago


Taguig, National Capital Region, Philippines KMC Solutions Full time $4,000 - $6,000 per year

Make your next big career move by applying as KMC Solutions' next COMPENSATION DATA ANALYST

As the industry leader in compensation data and technology, Payscale helps organizations #getpayright. Payscale is the only technology solution for managing compensation that provides multiple streams of fresh, transparently curated, and validated salary data. Combined with modeling engines that learn continuously and generate recommendations and insight, Payscale empowers HR to price jobs and adjust compensation to reflect real-time changes in the market — all on one trusted data platform. With Payscale's Adaptive Compensation Advantage, teams operate efficiently and focus on outcomes rather than manual data management. To learn how companies like The Washington Post, Perry Ellis International, United Healthcare, and The New York Times rely on PayScale to attract and retain top talent, motivate and engage employees, and plan their future workforce, visit

On top of your salary, here are the exciting benefits you can look forward to:

All around awesome culture where together we strive to live our 5 values:

  • Respect every individual, work as a team

  • Be Customer first, customer centric

  • Have a Bias towards action

  • Commit to excellence (we give our best everyday)

  • Make Data driven decisions

An open and inclusive environment where you'll learn, grow and have fun through programs and resources like:

  • Monthly company All Hands meetings

  • Regular opportunities for executive leadership exposure through things like AMAs

  • Access to continued learning & development opportunities

  • Our commitment to a continuous feedback culture which allows us to drive performance and career growth

  • A growing network of Employee Resource Groups

  • Company sponsored volunteer hours during the US Thanksgiving holiday

  • Monthly Social Hour Activities while onsite

  • Annual Site Anniversary Engagement Event

  • Annual Year End Party Engagement Event Holiday Basket

Our more standard benefits

  • Paid Philippine Regular holidays 1 additional Payscale holiday (Global Mental Health Day)

  • 15 paid days of additional leave, credited up front upon regularization and refreshed annually. Unused leave are monetized.

  • Maxicare coverage 1 dependent

  • Fixed work schedule, Monday through Friday 10pm-7am Manila

The main responsibilities of a COMPENSATION DATA ANALYST include:

In this role, you will be focused on completing job alignment projects for our clients. This will entail using various tools to ensure that the clients' jobs are aligned to a similar job in a compensation survey. You will work with internal Payscale contacts to complete the work and may occasionally interact with customers directly. Projects will vary from about a dozen jobs to several hundred. You may receive customer questions via email, and we will triage those questions to be handled by the appropriate team at Payscale. You may respond to level 1 support requests regarding the work you completed.

A day in the life:

On a typical day, you may:

  • Analyze job descriptions and align them to the peer data set in Payfactors

  • Use Excel to assist in querying the peer data set

  • Meet with co-workers over video call to review and quality check your work

  • Troubleshoot hard-to-match jobs with a colleague over a video call

  • Triage level 1 customers' questions and concerns to other teams at Payscale

To apply, you must be an expert on the following requirements:

  • This is an entry-level position, and we have had success with candidates with backgrounds in HR, qualitative research, and library/information science.

  • Experience with relational databases is a plus

Skills:

  • Customer service, focused on problem-solving and troubleshooting

  • Research and data analysis skills

  • Document analysis

  • Project management skills

Tools:

  • Payfactors

  • Excel- specifically querying large data sets

  • Microsoft Office programs: Outlook, Word, PowerPoint, SharePoint

  • PDF Reader software

  • Salesforce

  • Zoom



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