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Business Analyst
Location
United States
Posted
5 days ago
Salary
$76.5K - $90K / year
Seniority
Mid Level
No structured requirement data.
Job Description
Business Analyst
Cushman & Wakefield
Role Description 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. - 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. Qualifications - 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. Requirements - 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. - Competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements.
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