Business Intelligence Lead

Public Storage•Frisco, TX
•Hybrid

About The Position

The Business Intelligence Lead is a senior individual contributor on Public Storage’s Operations FP&A and Transformation team. The role turns operational, financial, and workforce data into actionable insights that improve business performance and support organizational decision-making. The Lead independently owns assigned initiatives from problem definition through solution design, development, testing, deployment, adoption, and ongoing support. They are the primary day-to-day owner for project scope, requirements, milestones, stakeholder coordination, data investigation, technical delivery, documentation, and training, working with limited day-to-day direction and involving the manager for strategic alignment, approvals, or help removing organizational roadblocks. This hands-on technical and business leadership role requires strong business acumen and advanced skills in Power BI, SQL, data modeling, reconciliation, and analytical problem-solving. The successful candidate can translate business questions into technical solutions, analysis into insight, and insight into clear recommendations. The position has no formal people-management responsibilities. Public Storage teammates are expected to work in the office five days per week, with the option to use up to three flexible remote-work days each month. Work authorization sponsorship is not available; candidates must be authorized to work in the United States without restrictions or current or future sponsorship.

Requirements

  • Bachelor’s degree in Business Analytics, Finance, Economics, Statistics, Mathematics, Information Systems, Computer Science, or a related field.
  • Eight or more years of progressive experience in business intelligence, analytics, reporting, FP&A, financial analytics, operations analytics, or a related discipline.
  • Demonstrated ability to independently lead complex analytics or business intelligence initiatives from problem definition through deployment, adoption, and ongoing support.
  • Advanced SQL skills, including querying, reconciling, validating, troubleshooting, and analyzing large datasets from multiple sources.
  • Strong hands-on proficiency with Microsoft Power BI, including dashboard and report development, data modeling, semantic models, DAX, visualization design, performance considerations, and deployment practices.
  • Advanced Microsoft Excel skills for analysis, reconciliation, validation, and communication.
  • Strong business and financial acumen, including the ability to connect operational and financial performance, interpret KPI movement, and recommend practical actions.
  • Excellent analytical, problem-solving, and critical-thinking skills, including identifying root causes, evaluating alternatives, and making sound recommendations under ambiguity.
  • Exceptional attention to detail and commitment to data accuracy, documentation, and consistent metric definitions.
  • Strong project ownership and organizational skills, including managing multiple priorities, dependencies, stakeholders, and delivery commitments with limited day-to-day support.
  • Clear and confident written and verbal communication skills, including adapting technical and analytical concepts for business and senior leadership audiences.
  • Good judgment about when to act independently, seek approval, or escalate risks, decisions, or stakeholder issues.
  • Ability to describe an end-to-end analytics or dashboard solution they owned, including its business problem, stakeholder requirements, technical approach, data challenges, key decisions, final recommendation, and measurable business outcome.

Nice To Haves

  • Experience working with SAP, Workday, payroll systems, and Google BigQuery.
  • Experience supporting Operations, FP&A, workforce analytics, or business transformation initiatives.
  • Experience establishing or improving KPI definitions, data governance, reporting standards, or analytical operating processes.
  • Experience presenting findings and recommendations to Directors or Vice Presidents.

Responsibilities

  • Own business intelligence and analytics initiatives end to end, including problem definition, requirements, scope, planning, milestones, solution design, development, testing, business validation, deployment, documentation, training, adoption, and post-launch support.
  • Serve as the primary day-to-day contact for stakeholders in Operations, Finance, HR, and IT, translating business needs into analytical requirements, measures, data products, dashboards, and decision-support solutions.
  • Build, maintain, and improve Power BI dashboards, scorecards, semantic models, and reporting solutions for operational, financial, workforce, and strategic decisions.
  • Write and optimize SQL queries to extract, validate, reconcile, analyze, and troubleshoot large datasets across enterprise systems and databases.
  • Reconcile disparate data sources and establish trusted, repeatable datasets and metric logic for management reporting and business decisions.
  • Investigate data discrepancies and root causes, resolve issues within the role’s authority, and escalate material risks or cross-functional dependencies with a clear recommendation.
  • Analyze performance trends, risks, opportunities, and business drivers; form and test hypotheses; and convert findings into practical recommendations and measurable next steps.
  • Manage project scope, priorities, dependencies, and delivery commitments; identify changes or constraints early and recommend options balancing business value, accuracy, timing, and maintainability.
  • Support transformation initiatives through KPI development, process analysis, performance measurement, reporting modernization, and adoption of scalable analytical practices.
  • Maintain documentation for requirements, metric definitions, data lineage, business rules, testing results, known limitations, operating procedures, and ownership.
  • Ensure data quality, accuracy, consistency, usability, and appropriate controls across reporting and analytical environments.
  • Mentor project contributors and share technical and business knowledge when appropriate, without formal people-management responsibilities.
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