Senior HR Data & Reporting Analyst

Data & Reporting Analyst

Job

255780

Posted

14-Jan-2026

Service line

GWS Segment

Role type

Full-time

Areas of Interest

People/Human Resources

Location(s)

Charleston - South Carolina - United States of America, Charlotte - North Carolina - United States of America, Dallas - Texas - United States of America, Detroit - Michigan - United States of America, Houston - Texas - United States of America, Layton - Utah - United States of America, North Salt Lake - Utah - United States of America, Phoenix - Arizona - United States of America, Raleigh - North Carolina - United States of America, Richardson - Texas - United States of America, Richmond - Virginia - United States of America, Salt Lake City - Utah - United States of America, Syracuse - Utah - United States of America, Tucson - Arizona - United States of America

RESPONSIBILITIES

Under general direction, assists HR Data Analytics Manager in the preparation of analyses on the employee population. Prepares reports and presentations on demographic profiles, turnover ratios, etc. for various audiences. Works independently with internal clients to determine their reporting needs. Manages databases, works with HRIS to ensure data integrity, and performs trend analyses on historical turnover, recruiting, and staffing. Role typically requires more than 5 years of experience.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Performs complex ad-hoc analysis of structured and unstructured data across multiple data sources, leveraging HR and other business relevant data to perform workforce analysis and measurements.

Develops data structures and pipelines to organize, collect, cleanse, and standardize data in order to generate insights and addresses reporting needs.

Design, produce, and maintains various HR dashboards and scorecards to provide key workforce measures utilizing a variety of tools (Excel, BI, Tableau, etc.) Monitors trends and acts on areas of concern through engaging HRBPs.

Utilizes programming and analytical tools, including open source programs including Python, R and SAS, SQL, Oracle, or similar relational database tools to formulate models and/or extract insights. Well versed in knowledge of creating algorithms, identifying patterns and insights from structured and unstructured data sets utilizing graphs, trees and/or other data representation techniques as required

Identifies and troubleshoots data integration and integrity issues. Documents global definitions, processes and practice to ensure consistent usage of data regarding the workforce

Identifies opportunities to maximize data usage, applying modeling and optimization methods to develop new strategies and improve business performance.

Exhibits analytical rigor, judgment, and ability to present a comprehensive 'data story' to multiple levels of the organization.

May coordinate involvement of personnel from other departments and information technology groups to facilitate successful project implementations.

Other Duties as Assigned.

SUPERVISORY RESPONSIBILITIES

No formal supervisory responsibilities in this position. Provides informal assistance such as technical guidance, and/or training to coworkers. May coordinate and assign tasks to co-workers within a work unit and/or project.

QUALIFICATIONS

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

EDUCATION and EXPERIENCE

Bachelor's degree (BS or BA). Minimum of 5 years of experience in quantitative analysis, data modeling, reporting, relational database tools, data warehousing, database architecture, and SQL, SAS and/or SPSS. Technical experience in statistical analysis, data engineering, data visualization and machine learning. Masters Degree preferred.

CERTIFICATES and/or LICENSES

None

COMMUNICATION SKILLS

Excellent written and verbal communication skills. Strong organizational and analytical skills. Ability to provide efficient, timely, reliable and courteous service to customers. Ability to effectively present information.

FINANCIAL KNOWLEDGE

Requires knowledge of financial terms and principles. Ability to calculate intermediate figures such as percentages, discounts, and/or commissions. Conducts basic financial analysis.

REASONING ABILITY

Ability to comprehend, analyze, and interpret documents. Ability to solve problems involving several options in situations. Requires intermediate analytical and quantitative skills.

OTHER SKILLS and ABILITIES

Advanced analytical skills. High attention to detail and accuracy is required to assure data products are reliable and actionable

Proficient in Microsoft Office Suite including Word, PowerPoint, Excel, and Outlook.

Knowledge and ability to work with confidential personal data, GDPR and apply data privacy controls

SCOPE OF RESPONSIBILITY

Decisions made with understanding of procedures and…