Description & RequirementsWhat's The Role? Our Workforce Intelligence team is responsible for providing high-quality data, reports, and analytics to deliver key insights to our business and support decision making.
Your friends all know you as someone who is collaborative, analytical, and a problem solver. You work well under pressure, and discretion is something that comes naturally to you. You're naturally curious and analytical, and love building stories to give context to your data for impactful decisions. You enjoy seeing projects end to end from concept to rollout, leveraging your technical acumen and creativity.
As the Workforce Intelligence Data Specialist, you will collaborate closely with HR, and executive leaders of multiple cross-functional departments, gleaning meaningful stories from Bloomberg's workforce data. Through your analytical resourcefulness, we will optimize HR efforts, employee experience and travel and expense analytics.
We'll trust you to: - Prototype, build and enhance data models and solutions for advanced reporting and analysis of workforce and travel and expense data.
- Work closely with stakeholders to develop metrics and performance indicators to support and resolve people-related business priorities, strategies, and challenges.
- Support the data analytics roadmap by building compelling dashboards with a strong narrative and visualization that resonate with executive-level stakeholders.
- Collaborate with stakeholders to deliver data-driven analyses and actionable insights grounded in strong statistical methods.
- Support ad-hoc requests and provide day-to-day reporting and analytics support to HR, Business leaders and Finance.
- Ensure prioritization and timely delivery of requests while maintaining data accuracy and consistency.
You'll need to have: - 5+ years of experience in advanced analytics focused on delivering insights and driving meaningful impact with at least 3 years of working in People Analytics.
- Proven expertise in building robust data models from complex data sources to generate analyses and insights.
- Hands-on experience querying with SQL and applying statistical concepts using Python, R, SPSS, or other similar programming languages.
- Experience with turning ambiguous business requirements into actionable deliverables.
- Self-motivated with an enthusiastic team spirit and strong collaboration skills.
- Extreme attention to detail.
- An ability to handle sensitive, confidential information with care.
- A bachelor's degree in an applicable field, such as Statistics, Economics, Engineering, Mathematics, or Industrial/Organization Psychology (disciplines with substantial scientific and quantitative training preferred).
We'd love to see: - Advanced degree in Statistics, Economics, Engineering, Mathematics, or Industrial/Organization Psychology.
- Experience with business intelligence tools like Qlik Sense, Tableau, Power BI, or similar platforms.
- Familiarity with Workday and/or other HR packages
- Experience with Time and Expense data
Salary Range = 135,000 - 165,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
