Portfolio Analytics Lead: Real Estate Data & Insights

Pittsburgh Tomorrow

Pittsburgh (Allegheny County)

On-site

USD 120,000 - 170,000

Full time

6 days ago
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Benefits offered by this job

Health benefits
401(k) with match
Paid time off

Job summary

PNC is seeking a Portfolio Analytics Lead – Corporate Workplace based in Pittsburgh, PA, to own and advance analytics and reporting across Corporate Workplace in Realty Services. You will transform data with SQL, Tableau, Excel and Power Apps, build dashboards, and provide insights to senior leadership to drive space, utilization and portfolio decisions.

You will partner with enterprise teams, establish data definitions and reporting standards, and mentor analysts while communicating complex

Qualifications

  • University/college degree required; 5+ years of relevant experience.
  • Experience with BI tools and data governance.
  • Strong communication and mentoring abilities.

Responsibilities

  • Lead analytics processes across multiple functions or units; mentor junior staff.
  • Consult with clients and guide tool/strategy implementation and monitoring.
  • Determine optimal analytic approaches and support development and enhancements.
  • Assist peers with guidance on analytic approaches for complex solutions.
  • Develop and optimize analytics solutions for leadership to enable data-driven decisions.
  • Analyze results and communicate conclusions to senior management.

Skills

Analytical Thinking
Business Acumen
Business Analytics
Consulting
Decision Making
Effective Communications
Emerging Technologies

Education

Bachelors

Tools

Tableau
Power BI
SQL
Excel
Power Apps

Job description

PNC is seeking a Portfolio Analytics Lead – Corporate Workplace based in Pittsburgh, PA, to own and advance analytics and reporting across Corporate Workplace in Realty Services. You will transform data with SQL, Tableau, Excel and Power Apps, build dashboards, and provide insights to senior leadership to drive space, utilization and portfolio decisions.

You will partner with enterprise teams, establish data definitions and reporting standards, and mentor analysts while communicating complex

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