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CDW

Associate Analyst

CDW

. Build, refresh, and maintain Insights dashboards .

Posted 9/24/2026full-timeChicago • Illinois • United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analysis, reporting, and dashboard creation using tools like SQL and SAS, while effectively communicating insights to stakeholders. Proven ability to manage multiple projects, maintain data hygiene, and support customer feedback initiatives.

Highest-signal resume keywords
Data AnalysisSQL ProficiencyDashboard CreationCustomer Feedback AnalysisProject Management

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data ManipulationStatistical AnalysisDatabase QueryingReporting ImplementationData HygieneNPS AnalysisCSAT AnalysisCES AnalysisMulti-Channel Campaign AnalysisActionable Recommendations
Soft Skills
Analytical SkillsProblem-SolvingDetail OrientedCommunication SkillsAdaptability
Tools & Technologies
SASSQLHadoopTableauMicrosoft Office
Industry Keywords
Voice of the CustomerCustomer Lifetime ValueStakeholder ManagementInsights Knowledge LibrarySurvey Data

Tech Stack

Tools & technologies
HadoopSQLTableau

About the role

Key responsibilities & impact
  • Build, refresh, and maintain Insights dashboards
  • Own weekly, monthly, quarterly, and annual standardized reporting cadence
  • Assist with reporting implementation in an automated business intelligence environment
  • Maintain internal and external data hygiene
  • Fulfill ad-hoc data requests from stakeholders
  • Support CDW's Voice of the Customer and Customer Lifetime Value programs alongside Ipsos
  • Gather and organize NPS, CSAT, CES, and Customer Advisory Board feedback
  • Track deliverables and action items against the phased statement of work
  • Coordinate working sessions and document notes, decisions, and follow-ups
  • Monitor survey fielding and response rates and flag timeline risks
  • Clean and consolidate feedback data
  • Prepare recurring VoC reports and dashboards
  • Use database querying, data manipulation, and statistical analysis to support Marketing
  • Manipulate data in SAS, SQL, and Hadoop to create actionable insights
  • Evaluate marketing-channel and customer analytics and make strategic recommendations
  • Analyze multi-channel campaign signals and distinguish meaningful contributors from noise
  • Create broadly understandable insights and recommendations
  • Support a data-driven marketing culture and stakeholder analytics needs
  • Maintain relationships with Marketing and eCommerce stakeholders
  • Intake, triage, prioritize, and route ad-hoc requests
  • Maintain the Insights Knowledge Library and associated documentation

Requirements

What you’ll need
  • Bachelor's degree in business, information systems, statistics, mathematics, economics, computer science, or engineering
  • CDW Summer Internship experience
  • Proficient with Microsoft Office, including Excel, Word, Outlook, and PowerPoint
  • Strong analytical and independent problem-solving skills
  • Ability to analyze large volumes of raw data, draw conclusions, and develop actionable recommendations
  • Highly detail oriented and able to handle multiple projects simultaneously in a fast-paced environment
  • Excellent written and verbal communication skills, including presenting to all stakeholders
  • Ability to identify opportunities in existing practices and processes and execute improvements
  • History of balancing multiple priorities, adapting to changing business needs, and meeting deadlines
  • Experience with customer feedback or survey data such as NPS, CSAT, or CES is a strong plus
  • Experience supporting a third-party research or vendor engagement and tracking deliverables against a statement of work is a plus
  • Tableau experience is a strong plus
  • Relational database experience, such as SQL, is a strong plus

Benefits

Comp & perks
  • Hybrid work arrangement
  • AI-fluent, learning-focused work culture
  • Collaborative environment
  • Growth and professional development support
  • Equal opportunity employment