Human Capital Data Analyst

About the Role

Key Responsibilities

• Use your data analytics expertise to support client and stakeholder relationships.
• Research, develop, and test data methodologies, and generate cross-functional solutions through collection, interpretation, evaluation, and analysis of large data sets.
• Contribute to impactful work and guide decision-making across multiple organizations.
• Apply data skills and data analytics expertise by simplifying technical requirements and trends, based on audience.
• Present data findings and recommendations to clients and stakeholders using your knowledge of databases and scripting languages such as SQL, SPSS, Python, and Microsoft Office Suite.
• Establish quantitative and qualitative metrics and key performance indicators to drive technical outcomes.
• Apply data visualization through different formats such as graphs, tables, and PowerPoint slides.
• Grow your communication and technical skills by creating data-centric solutions across the client space.

Requirements

• Experience analyzing and extracting key data and information to meet the organization’s needs and requirements.
• Experience supporting or managing a full-cycle annual workforce survey program, including activities associated with survey design, psychometric testing, reporting, and communicating results to senior business leaders.
• Experience in data validation and cleaning to ensure the quality and integrity of data.
• Experience identifying and collecting data using specific tools or techniques.
• Experience leveraging a statistical software package to analyze qualitative and quantitative data, including SPSS.
• Ability to synthesize and communicate organizational performance clearly based upon information from disparate sources through verbal and written communication formats.
• Ability to translate complex, technical findings into an easily-understood narrative, in graphical, verbal, or written forms.
• TS/SCI clearance with a polygraph.
• Bachelor’s degree.

Nice to Have

• Experience with programming languages such as Python and R Studio.
• Experience developing research studies and applying advanced statistics to support hypothesis testing.
• Experience in dashboard development, data cleansing, and metrics analysis.
• Ability to execute projects and tasks with minimal guidance and supervision.
• Possession of excellent verbal and written communication skills.
• Possession of excellent data gathering, analytical, and problem-solving skills.

Qualifications

• Bachelor’s degree.

Benefits & Perks

• Health, life, disability, financial, and retirement benefits.
• Paid leave, professional development, tuition assistance, work-life programs, and dependent care.
• Recognition awards for exceptional performance.
• Eligibility for benefit programs for full-time and part-time employees working at least 20 hours a week.