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Workforce Intelligence Insights Partner , NY Posted

Job in New York, New York County, New York, 10261, USA
Listing for: Bloomberg L.P.
Full Time position
Listed on 2026-02-21
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
  • HR/Recruitment
Salary/Wage Range or Industry Benchmark: 135000 - 165000 USD Yearly USD 135000.00 165000.00 YEAR
Job Description & How to Apply Below
Position: Workforce Intelligence Insights Partner New York, NY Posted today
Location: New York

Workforce Intelligence Insights Partner

Location

New York

Business Area

Accounting and Finance

#

Description & Requirements

The energy of a newsroom, the pace of a trading floor, the buzz of a recent tech breakthrough; we work hard, and we work fast - while keeping up the quality and accuracy we're known for. It's what keeps us inventing and reinventing, all the time. Our culture is wide open, just like our spaces. We bring out the best in each other through collaboration.

Through our countless volunteer projects, we also help network with the communities around us, too. You can do amazing work here. Work you couldn't do anywhere else. It's up to you to make it happen.

What’s the role

The Workforce Intelligence team delivers high-quality workforce data, reporting, and analytics that power evidence-based decisions across the employee lifecycle. We don’t just report what happened — we shape how leaders think about their people, their careers, and the future of the business.

We are seeking a Workforce Intelligence Insights Partner who consistently turns complexity into clarity and data into direction. This role is for someone who can demonstrate how their insights changed decisions, shifted strategies, and delivered measurable impact.

We’ll trust you to

  • Create clarity for leaders facing ambiguity to solve complex, high-stakes people challenges
  • Describe specific situations on influencing leadership decisions by reframing workforce data into clear, actionable insights
  • Guide HR business partners, Talent and cross-functional stakeholders understand why an issue mattered, not just what the data showed
  • Influence leaders toward decisions that result in measurable improvements (e.g., retention, hiring efficiency, workforce planning outcomes)
  • Translating complex data into decisive action:
    Direct the end-to-end analytics process—from wrangling complex data structured and unstructured datasets into actionable business outcomes.
  • Leverage quantitative and qualitative data and analytics methods to analyze Talent, Recruiting and People Analytics focus areas
  • You have owned the full lifecycle of insights, from raw data to leadership action.
  • Lead quarterly or recurring executive reviews to share how data storytelling resulted in concrete actions, policy changes, or strategic pivots
  • Identify the “what” in prioritized insights, and aligned recommendations to business goals
  • Share the outcomes achieved after leadership acted on your recommendations

You elevate analytics from reporting to enablement

  • How you influence the design of your products to continuously improve adoption, usability, and decision-making
  • Examples where your partnership with BI and analytics developers resulted in faster insights, better self-service, or improved stakeholder trust
  • Evidence that business teams relied on these tools to guide ongoing decisions

You’ll need to have:

7
-10 years + experience in advanced analytics directly influenced business outcomes

Experience presenting high-stakes findings to senior leadership and confidently addressing business issues in real time.

Proven experience advising and influencing senior executives, including the C-suite, with HR decision support and actionable insights.

Demonstrated experience building Q  content end-to-end (storyline, metrics, insights, and recommendations) and confidently presenting QBRs to senior leaders with measurable business impact.

Proven ability to partner with BI teams and leverage tools such as Qlik, Tableau, or similar platforms, supported by a strong quantitative foundation (e.g., Statistics, Economics, Engineering, I/O Psychology). Workday / Avature experience preferred

Proven track record of translating data analysis and research findings into easy-to-understand, actionable recommendations for teammates of various levels, in different departments.

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).

Salary Range = 135000 - 165000 USD Annually + Benefits + Bonus

The referenced salary range is based on the Company's good faith belief at the…

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