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HR Analyst IV - Rockville Regional Offices

Annapolis, MD

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HR Analyst IV - Rockville Regional Offices
Rockville, MD
Job Number:
Date posted:
In addition to the responsibilities listed below, this position is responsible for working within the Human Resources (HR) Enterprise Reporting Platform (ERP) to identify, gather, and analyze HR data; using HR data to influence workforce decisions;consulting with HR teams to identify workforce issues; and analyzing and interpreting data to answer business questions about the workforce.

Essential Responsibilities:
Practices self-development and promotes learning in others by proactively providing information, resources, advice, and expertise with coworkers and customers; building relationships with cross-functional stakeholders; influencing others through technical explanations and examples; adapting to competing demands and new responsibilities; listening and responding to, seeking, and addressing performance feedback; providing feedback to others; creating and executing plans to capitalize on strengths and develop weaknesses;supporting team collaboration; and adapting to and learning from change, difficulties, and feedback.
Completes work assignments and supports business-specific projects by applying expertise in subject area supporting the development of work plans to meet business priorities and deadlines; ensuring team follows all procedures and policies; coordinating resources to accomplish priorities and deadlines; collaborating crossfunctionally to make effective business decisions; solving complex problems; escalating high priority issues or risks as appropriate; and recognizing and capitalizing on improvement opportunities.
Executes creative data analytic approaches leading to actionable outcomes by defining and calculating metrics to be analyzed; defining, calculating, and validating algorithms; and conducting analyses, including descriptive, correlational, inferential, and/or predictive statistics.
Develops, implements, and automates business and reporting solutions by working with stakeholders in their design, planning, and implementation while ensuring consistency and coherency; evaluating and summarizing data and results; creating summary statistics; developing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; reporting to stakeholders on key findings; identifying needs for the development and implementation of additional reporting solutions; and preparing documentation as appropriate.
Interprets data analyses by applying findings to contextual settings; and developing insights, reports, and presentations telling a compelling story to stakeholders to enable and influence decision making; and providing context related to data interpretations and/or limitations as appropriate.
Drives strategic data-informed decisions by consulting with clients to identify and clarify key business needs; developing outcomes and process measures; translating business requirements; determining data information needs and data collection methods; developing analysis plans; measuring the impact of business decisions on clients, customers, and/or members; working with clients and staff to identify opportunities and methods to improve efficiencies with analysis; supporting and training end-users; and documenting processes.
Gathers data and information on targeted variables in an established systematic fashion by validating data sources; querying, merging, and extracting data across sources; completing routine data refresh and update;developing and/or delivering tools for electronic data collection; and providing user training, support, and documentation.
Develops analytical and/or statistical models enabling informed business decisions by determining data and analytical requirements; creating models leading to actionable insights; and testing, refining, and validating.
Prepares data for analytic efforts by integrating and consolidating data; ensuring data quality and accuracy; profiling data inaccuracies and recommending process improvements or system changes to enhance overall quality of the data; and cleaning and creating final data set(s) for analysis.
Basic Qualifications:
Minimum two (2) years of experience in HR analytics and reporting.
Minimum one (1) year of experience in a leadership role with or without direct reports.
Minimum five (5) years of experience in data analytics or a directly related field
Bachelor's degree in mathematics, statistics, engineering, social/physical/life science, business, or a related field OR four (4) years of experience in a directly related field.
High School Diploma or General Education Development (GED) required.
License, Certification, Registration

Additional Requirements:

Preferred Qualifications:
Two (2) years experience working with HR data in a major HR Enterprise Reporting Platform (ERP) (e.g., SAP, PeopleSoft, HCM, etc.).
One (1) year experience working with Salesforce.
One (1) year experience working with Visier.
Two (2) years project management experience.
Three (3) years experience working with statistical analysis software.
Three (3) years experience working with Open Source Tools (e g , R, Python).
Two (2) years experience in process improvement.
Three (3) years experience working with quality management and data profiling tools.
Three (3) years network analysis experience.
Three (3) years experience working with Excel.
Three (3) years complex event modeling experience.
Three (3) years programming experience.
One (1) year regulatory experience.
Three (3) years experience working with SQL.
Three (3) years experience working with Tableau.
Three (3) years text analytics experience.
Three (3) years data simulation experience.
Three (3) years machine learning experience.
Three (3) years server maintenance experience.
One (1) year health care experience.
Three (3) years experience working with data visualization tools.
Three (3) years experience working with Business Objects.
Three (3) years experience working with Cognos.
Three (3) years robotic process automation experience.
Three (3) years experience working with artificial intelligence tools.
Three (3) years study design experience.
Three (3) years experience working with SAS.
Three (3) years experience working with data extraction and manipulation language.
Two (2) years experience delivering presentations to management.
One (1) year experience in transition or change management implementation.
Two (2) years experience working in a matrixed organization.
Three (3) years experience working with SPSS.
Three (3) years deep learning experience.
Three (3) years relational database experience.
Three (3) years experience working with business intelligence tools.
Three (3) years experience working with Access.
Three (3) years statistical modeling experience.
Doctorate degree in mathematics, statistics, engineering, social/physical/life science, business, or related field.
Master's degree in mathematics, statistics, engineering, social/physical/life science, business, or related field.
Accredited Project Management Certification.
Accredited Process Improvement Certification.
Primary Location:
Maryland,Rockville,Rockville Regional Offices 2101 E. Jefferson St.
Scheduled Weekly Hours:
Mon, Tue, Wed, Thu, Fri
Working Hours Start:
8:00 AM
Working Hours End:
4:30 PM
Job Schedule:
Job Type:
Employee Status:
Employee Group/Union Affiliation:
Salaried, Non-Union, Exempt
Job Level:
Individual Contributor
Job Category:
Human Resources / HRIS
Human Resources
Yes, 5 % of the Time
**MEMBERS ONLY**SIGN UP NOW***. is an equal opportunity employer committed to a diverse and inclusive workforce. Applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), age, sexual orientation, national origin, marital status, parental status, ancestry, disability, gender identity, veteran status, genetic information, other distinguishing characteristics of diversity and inclusion, or any other protected status.

External hires must pass a background check/drug screen. Qualified applicants with arrest and/or conviction records will be considered for employment in a manner consistent with federal and state laws, as well as applicable local ordinances, including but not limited to the San Francisco and Los Angeles Fair Chance Ordinances.

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