Data Research Analyst - Hybrid/US Shift

Make your next big career move by applying as KMC Solutions’ next DATA RESEARCH ANALYST!

Payscale gives employers and employees confidence to know the what and why behind pay. With our leading data, technology, and experience we make it easier for you to connect compensation to goals.

As the industry leader in compensation management, Payscale is on a mission to help job seekers, employees, and businesses get pay right and to make sustainable fair pay a reality. Empowering more than 50 percent of the Fortune 500 in 198 countries, Payscale provides a combination of diverse and dynamic data sources, experienced compensation services, and scalable software to enable organizations such as Target, United Healthcare, Gainsight, eBay, and The Washington Post to make fair and appropriate pay decisions. To learn more, visit www.payscale.com.

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

Health Insurance/HMO
Enjoy unlimited MadMax Coffee
Diverse learning & growth opportunities
Accessible Cloud HR platform (Sprout)
Above standard leaves
The main responsibilities of a DATA RESEARCH ANALYST include:

The Data Analyst plays a key role in maintaining and expanding Payscale’s proprietary datasets. These datasets form the foundation of our compensation solutions, helping organizations align their pay structures with industry benchmarks.

As part of our Data Team, you will:

Expand and refine our job taxonomy, ensuring its relevance and alignment with industry trends.
Analyze and match job descriptions to enhance dataset accuracy.
Conduct research and ensure the quality of firmographic and wage data.
Key Responsibilities

Taxonomy Management
Expand Payscale’s 5,500+ benchmark job taxonomy by:
Researching new and emerging roles across various industries.
Writing detailed and accurate job descriptions.
Assigning attributes such as job levels, experience requirements, and reporting structures.
Audit taxonomy to ensure consistency, accurate format, and a healthy overall structure.
Job Matching and Crosswalks
Evaluate third-party job descriptions to identify the best matches within Payscale’s taxonomy.
Create and refine job mapping files for seamless crosswalks between external sources and Payscale datasets.
Provide feedback on tools developed by the Data Team to enhance efficiency in job matching processes.
Data Research and Entry
Research and input key data points, such as:
Firmographic information (industry, company size, revenue).
Wage-related data (e.g., minimum wage legislation across different regions).
Use tools like Excel to query datasets and ensure data accuracy.
A Typical Day

Research and write descriptions for new roles in response to market trends and customer feedback.
Audit existing jobs in the taxonomy for improvements.
Analyze job descriptions to map third-party roles to Payscale’s taxonomy.
Research and input firmographic data and wage regulations.
Collaborate with team members via Zoom to review and quality-check work.
To apply, you must be an expert on the following requirements:

Experience
Entry-level position with a background in HR, qualitative research, or library/information science preferred.
Familiarity with Payscale or the compensation survey industry is a plus.
Experience with relational databases is advantageous.
Skills
Strong research and analytical abilities.
Excellent writing skills, particularly in drafting professional job descriptions.
Attention to detail with problem-solving and troubleshooting capabilities.
Basic project management and document analysis skills.
It will also be favorable if you are knowledgeable in:

Proficiency in Excel (including querying large datasets and using advanced functions).
Familiarity with Microsoft Office (Outlook, Word, PowerPoint, SharePoint).
Experience with Salesforce, Payfactors, and Zoom is a plus.