Jobs · Analyst · North Carolina

Business Analyst

Cushman & Wakefield · Raleigh, NC · 3 wk ago
RemoteRemoteAnalyst$77k–$90k/yrFull-time

This Business Analyst role is a critical member of the Data & Analytics team, accountable for delivering operational reporting, scalable automation, and forward-looking insights that strengthen decision-making across multiple contract lines. Reporting to the Manager of Data & Analytics, the position drives KPI visibility, data pipeline reliability, and proactive risk identification to support the operational readiness and performance of the C&W Services team. The ideal candidate combines strong analytical discipline, business process understanding, and modern data tool capability, including AI-enabled ways of working, to turn complex operational data into measurable business value.

Responsibilities

  • Unified Insights: Integrate and standardize data across systems to deliver a single, actionable view of performance for faster, better decisions.
  • Automation: Build scalable workflows and data pipelines using Power Platform, Office 365 tools, Smartsheet, and Databricks to improve efficiency across business units.
  • Data Storytelling: Develop dashboards and visual reports that translate complex data into clear insight for technical and non-technical audiences.
  • AI-Enabled Analysis: Apply AI-assisted methods to accelerate analysis, identify patterns, and generate forward-looking insight ahead of stakeholder demand.
  • Client Impact: Support KPI reviews with rigorous analysis and actionable recommendations that improve performance and advance client objectives.
  • Cross-Functional Partnership: Build trusted relationships across teams, identify opportunities for data-driven improvement, and help translate business needs into scalable solutions.
  • Capability Building: Share knowledge, elevate team proficiency, and strengthen adoption of analytics and automation across the broader organization.

Requirements

  • Bachelor’s degree in industrial engineering, data analytics, computer science, operations research, or a related field.
  • 3–5 years of experience in data analytics, analytics engineering, operations research, or a similar analytical role.
  • Advanced Excel skills, including VBA, Power Query, and complex data modeling.
  • Experience with Power BI or a comparable BI platform, including production-quality dashboards and data models.
  • Working knowledge of Databricks or the ability to ramp quickly; familiarity with lakehouse architecture, notebooks, and pipeline design is preferred.
  • Strong SQL skills for data extraction, transformation, and validation; experience with cloud data warehouse environments such as Redshift or similar platforms required.
  • Demonstrated ability to work independently, anticipate needs, prioritize effectively, and operate with agility in a fast-paced environment.
  • Strong understanding of business processes and where analytics and automation can drive measurable improvement.
  • Ability to interpret contractual KPI requirements and translate them into accurate, reliable reporting.
  • Strong analytical rigor, including the ability to validate calculation logic, assess metric integrity, and identify issues before they create downstream risk.
  • Detail-oriented and intellectually curious, with the ability to trace data quality issues to root cause and communicate findings clearly to technical and non-technical audiences.

Preferred Qualifications

  • Experience with Power Platform and Office 365 tools, including Power Automate, Power Apps, SharePoint, and Teams.
  • Experience building and maintaining Smartsheet solutions, including forms, automated workflows, and source tables.
  • Proficiency in Python for data analysis and automation, including the ability to write, maintain, and enhance production-quality scripts.
  • Experience building forecasting pipelines or predictive models using time series, regression, or machine learning techniques.
  • Demonstrated use of AI tools in a professional setting to accelerate analysis, improve output quality, and surface insight.
  • Experience constructing dataflows and tables in Microsoft Dataverse.
  • Experience designing relational or cloud-based data models, including fact and dimensional schemas.

Benefits

  • Health, vision, and dental insurance
  • Flexible spending accounts
  • Health savings accounts
  • Retirement savings plans
  • Life and disability insurance programs
  • Paid and unpaid time away from work

Pay

The compensation for the position is $76,500.00 - $90,000.00.

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