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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates proficiency in data analytics, utilizing tools such as Python, SQL, and Google Cloud Platform to develop datasets and support business needs. Exhibits strong collaboration skills to work effectively with cross-functional teams and contribute to process improvements.
Highest-signal resume keywords
Python ProgrammingGoogle Cloud PlatformSQL Database ManagementData Visualization (Tableau, Looker)Software Development Lifecycle Familiarity
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalyticsDataset DevelopmentTest Script DevelopmentStatistical ConceptsSpark Framework KnowledgeGeospatial AnalysisLinux ProficiencyBash ScriptingSource Control (Github)Analytic Agility
Soft Skills
Attention to DetailTime ManagementWritten CommunicationVerbal CommunicationCollaboration
Tools & Technologies
AirFlowGCP ComposerBigQueryTableauLooker
Industry Keywords
Data InfrastructureCross-Functional TeamsCorporate Research DataInformation PlatformsData Spaces
Tech Stack
Tools & technologiesAirflowAWSBigQueryCloudGoogle Cloud PlatformLinuxPandasPythonScikit-LearnSparkSQLTableauTensorflow
About the role
Key responsibilities & impact- Utilize a multidisciplinary approach to data analytic problems combining technical expertise with analytics and business knowledge
- Work with Data Analytic Engineers, Data Analysts, and business partners on embedded cross-functional teams
- Develop subject matter expertise in the business and data analytics
- Execute requirements to develop datasets for Data Analysts and business users
- Execute rapid development of new data work tracks with fast iteration over quick sprints
- Leverage and enhance data infrastructure supporting analytic needs, including AirFlow, GCP Composer, and BigQuery
- Build test scripts and execute testing
- Work with data engineers, analysts, and business partners to ensure end user acceptance
- Contribute to innovation and process improvement
- Contribute to corporate research data files, information platforms, or data spaces for exploring and understanding data
- Demonstrate analytic agility to meet fluid and dynamic business needs
Requirements
What you’ll need- Summer 2027 internship for students currently enrolled in a degree program
- Currently pursuing and will be completing a bachelor’s degree in a field such as Computer Science, Data Analytics or equivalent skills
- Target start date: May/June 2027
- Basic familiarity with Python and/or Google Cloud Platform/Amazon Web Services and SQL
- Familiarity with the software development lifecycle and source control (Github)
- Basic familiarity with visualization tools such as Tableau or Looker
- Computer proficiency in Linux and bash
- Experience in time and task management
- Ability to learn new technologies
- Strong attention to detail
- Intermediate written and verbal communication skills, including the ability to effectively collaborate with multi-disciplinary groups and all organizational levels
- Preferred: Development knowledge and experience in Spark or other distributed processing frameworks
- Preferred: Familiarity with statistical concepts and related technology (scikit-learn, pandas, tensorflow) or geospatial analysis a plus
- Dedicated, private workspace free from distractions when working from home
- Appropriate desk and seating when working from home
- Reliable internet with minimum speeds of 50 MB download and 5 MB upload
- Allstate generally does not sponsor individuals for employment-based visas for this position
Benefits
Comp & perks- Comprehensive technology setup including a laptop, monitors, headset, keyboard, and mouse
- Monthly connectivity reimbursement for employees eligible to work from home
