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Penn Information Systems & Computing

Associate Data Analyst

Penn Information Systems & Computing

. Contribute to improving data collection methods, study design, survey administration, measurement instruments, and data management processes .

Posted 9/16/2026full-timePhiladelphia • Pennsylvania • United StatesEntry Level💰 $62,067 - $77,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in data collection methods, validation, and analysis, with proficiency in Python, R, SQL, and data visualization tools. Capable of communicating complex data concepts to diverse audiences while ensuring data integrity and quality.

Highest-signal resume keywords
Data Collection MethodsData ValidationPython ProgrammingData VisualizationCommunication Skills

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 AnalysisData ManagementData ProcessingSQLRPythonDashboard ManagementData Quality AssessmentData TransformationSurvey Administration
Soft Skills
Attention to DetailTeam CollaborationTechnical SupportStorytelling with DataWritten Communication
Tools & Technologies
ExcelPowerBI
Industry Keywords
FERPA ComplianceData GovernanceEvidence-Based Decision-MakingProgram EvaluationInstitutional Planning

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Contribute to improving data collection methods, study design, survey administration, measurement instruments, and data management processes
  • Validate datasets for completeness, accuracy, consistency, and integrity
  • Identify and resolve data discrepancies
  • Develop and maintain data codebooks, metadata, and data collection procedure documentation
  • Execute and monitor established data workflows
  • Run existing Python, R, SQL, and other automated scripts supporting recurring data projects
  • Process, transform, and prepare data for analysis
  • Assist with data analysis, interpretation, and reporting for institutional planning, assessment, program evaluation, and evidence-based decision-making
  • Collaborate with staff across multiple offices to collect, manage, and coordinate data
  • Coordinate project timelines and ensure milestones and deliverables are completed on schedule
  • Communicate technical and quantitative concepts to broad, non-technical audiences, including senior management
  • Train and provide technical support and thought partnership to colleagues
  • Work independently and as part of a team across multiple projects

Requirements

What you’ll need
  • A Bachelor's Degree and 2-3 years of experience, or equivalent combination of education and experience, required
  • A degree in quantitative discipline is preferred
  • 3+ years of experience is preferred
  • Attention to detail and ability to extract and process data from various sources
  • Ability to identify data integrity and quality issues
  • Proficiency in building and managing dashboards and reports is preferred
  • Data visualization skills and ability to tell a story with data are preferred
  • Willingness and ability to quickly learn data governance and analysis skills is strongly preferred
  • Familiarity with Excel, PowerBI, R, Python, and SQL is preferred
  • Ability to use data to support operations and communicate technical concepts to technical and non-technical audiences
  • Understanding of FERPA parameters and data integrity
  • Ability to perform tasks in a fast-paced environment with tight deadlines
  • Strong written and oral communication skills are required
  • Background checks may be required after a conditional job offer

Benefits

Comp & perks
  • Comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits
  • Flexible spending accounts for eligible health care and dependent care expenses
  • Tuition assistance for employees, spouses, and dependent children at Penn and other institutions
  • Basic, Matching, and Supplemental retirement plans
  • Pre-tax or Roth retirement savings options
  • Investment options through TIAA and Vanguard
  • Substantial time away from work
  • Long-term care insurance
  • Wellness and work-life programs and resources
  • Professional and personal development resources
  • Access to University libraries, athletic facilities, arboretum, art galleries, cultural and recreational activities
  • Discounts and special services for arts, entertainment, transportation, mortgages, cars, cellular phone plans, movie tickets, and theme parks
  • Flexible work options, including non-traditional work hours, locations, and/or job structures
  • Forgivable loan for eligible employees buying a home or residing in West Philadelphia
  • Adoption assistance for qualified expenses, up to two adoptions in the household