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Data Analytics
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Data Analytics

A P Ventures LLC -
Remote

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Job Details

Qualifications

Data integrity assurance
Data visualization software proficiency
Data validation techniques
HR analytics
Presentations for conferences or internal meetings
Business intelligence report generation
Programming languages
Business intelligence tools
Bachelor's degree
Research findings presentation
Data analysis software
Stakeholder management
Database software proficiency

Full Job Description

Title: Data Analytics - Human Resources

Location: Remote

Company Overview

At APV, we’re more than a technology company — we’re a mission-driven powerhouse transforming organizations through advanced technology and human ingenuity. Our expertise spans AI/ML, data architecture, low-code/no-code development, Agile DevSecOps, and cloud services, delivering scalable and meaningful solutions.

In our Emerging Technology Lab, innovation drives progress. Our teams create intelligent chatbots, AI-powered assistants, robotic process automation (RPA), essay graders, and data analytics platforms. If you’re passionate about solving complex challenges and shaping the future, APV is the place for you. Since 2007, we’ve partnered with federal and state agencies to deliver IT, training, and consulting solutions that achieve mission-critical outcomes. Built on accountability, integrity, and quality, we go beyond expectations.

With 70+ prime contracts and a proven record of client success, APV continues to grow — and we’re looking for exceptional talent to grow with us.

At APV, we Always Provide Value

Position Summary:

The HR Data Analyst will play a pivotal role in driving data-driven decision-making processes. This position involves analyzing workforce data, identifying trends, and providing actionable insights to support strategic initiatives.

The ideal candidate will possess a strong background in data analytics, HR metrics, and business intelligence tools, enabling them to effectively interpret complex data sets and translate findings into impactful recommendations.

Duties:

Data Collection and Management:

Collect, compile, and organize large volumes of workforce data from various sources, including HRIS, payroll systems, employee surveys, and other relevant databases.

Ensure data integrity, accuracy, and consistency by conducting regular audits and data validation checks.

Maintain and update dashboards, ensuring they reflect current and relevant data.

Data Analysis and Interpretation:

Conduct in-depth analysis of data to identify trends, patterns, and correlations related to employee performance, retention, recruitment, and other key HR metrics.

Utilize statistical methods and advanced analytics techniques to uncover insights that drive strategies and business decisions.

Interpret complex data sets and translate findings into clear, concise reports and presentations for senior leadership and other stakeholders.

Reporting and Visualization:

Develop and maintain comprehensive workforce analytics reports and dashboards using business intelligence tools such as Tableau, Power BI, or similar platforms.

Create visually appealing and easily understandable data visualizations that effectively communicate key insights and trends.

Present findings and recommendations to leadership and cross-functional teams, providing context and actionable steps.

Process Improvement and Innovation:

Continuously seek opportunities to enhance data collection, analysis, and reporting processes.

Stay updated on industry trends, best practices, and emerging technologies in workforce analytics and data science.

Propose and implement innovative solutions to improve the efficiency and effectiveness of HR analytics efforts.

Collaboration and Stakeholder Management:

Work closely with HR teams, IT, and other departments to ensure alignment and integration of data analytics initiatives.

Serve as a subject matter expert on data analytics, providing guidance and support to HR colleagues and stakeholders.

Foster a data-driven culture within the organization by promoting the use of analytics in decision-making processes.

Education:

Bachelor’s degree in data science, Statistics, Computer Science, or a related field. Master’s degree preferred.

Required Qualifications:

Minimum of 5 years of experience in data analytics, preferably within the HR domain.

Proven track record of conducting complex data analysis and presenting actionable insights to senior leadership.

Proficiency in data analysis tools and programming languages such as SQL, Python, R, and Microsoft Excel.

Expertise in using business intelligence and data visualization tools like Tableau, Power BI, or similar platforms.

Strong understanding of HRIS systems and workforce data sources.

Exceptional analytical and problem-solving skills with the ability to interpret complex data sets.

Strong attention to detail and commitment to data accuracy and integrity.

Excellent written and verbal communication skills, with the ability to convey complex information in a clear and concise manner.

Experience in creating and delivering presentations to diverse audiences.

Preferred Qualifications:

Experience with advanced analytics techniques such as machine learning, predictive modeling, and data mining.

Knowledge of workforce planning methodologies and best practices.

HR data and systems from the National Finance Center (NFC)

Experience with Federal HR

About APV

APV is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, or marital status.

Quick Apply

Refine Your Search

"data mining" jobs

Data Analytics

Payment Integrity Analyst - Data Mining

DMG Data Mining Analyst II

Data Scientist

Data Mining Scientist

Data Engineer

Data Analyst (Remote)

Data & IT Manager

Digital Marketing Analyst

Manager - Corporate Tax

Sr. Maintenance Engineer

Buyer

Buyer

Internal Auditor

Routing Specialist

Senior Workday HRIS Analyst

ERP/Software Support

System Safety & Reliability Engineer Specialist

VP Sales Management - Retail

AVP, Credit Model Development

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