Human Resources Analytics Consultant
| Company | Becton Dickinson |
|---|---|
| Location | Midland Park, NJ, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Mid Level, Senior |
Requirements
- Bachelor’s degree in Engineering, Computer Science, Mathematics or related technical discipline is required.
- 3+ years’ experience preferred in an analytics position working with large amounts of data.
- Experience in Analytics data modelling, storytelling, visualization such as Python/R, Power Platform (Power Query, Power App, and Power BI), SQL, Visual Basic, MS Excel, PowerPivot, MS Azure or DAX is required.
- Experience in Workday reporting and/or Visier is highly desired.
Responsibilities
- Partner across HR to research, analyze data, uncover opportunities, identify trends, and develop recommendations.
- Communicate recommendations on initiatives and influence leaders through data, analytics, and interpretation of findings.
- Collaborate with HR to build in-depth analyses with clear and actionable findings, and provide support for talent reporting needs.
- Ensure quality and integrity of key HR data sets and metrics, maintaining awareness of best practices.
- Create prescriptive data analysis to generate insight-driven solutions and identify hidden trends.
- Design and develop effective dashboards, reports, presentations, and visual aids to educate and inform decisions.
- Actively manage system upgrades, security, and user training in the analytical tool.
- Improve system capabilities by creating custom metrics, attributes, guidebooks, and data validations.
- Provide support to ad-hoc projects and ongoing programs, including operational talent reports with data-driven narratives.
- Display an innovative mindset to expand capabilities by automating and streamlining processes.
- Responsible for data cleansing, validation, testing, and analysis on large volumes of data.
- Demonstrate exceptional judgment and discretion when dealing with sensitive human capital data and strategies.
- Work with teams to ensure proper identification of all impacted data elements based on proposed changes.
Preferred Qualifications
- Ability to carry out preprocessing of structured and unstructured data.
- Ability to work with a virtual team across different time zones.
- Broad industry knowledge of HR processes and data (e.g. Workforce Metrics, Recruitment Practices, Compensation, Performance/Talent Management, etc.) including knowledge of ERP, Business systems, HR System and Business Intelligence tools is desired.
- Self-starter able to work independently with guidance but not direct supervision.
- Self-motivated, curious, autonomous and willing to learn.