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Jobs

Data Analyst Intern-21000037

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Posted on: April 7, 2021 Apply Now
Minneapolis, MN External Internship Expires April 27, 2021

This position is posted from an outside job board or employer website for the convenience of Yale students. Please note this position was not posted directly at Yale by the employer, and therefore the employer has not reviewed or agreed to any of Yale’s recruiting policies: https://ocs.yale.edu/ocs-policies/. The University does not endorse or recommend employers, and a posting does not constitute an endorsement or recommendation. The University makes no representations or guarantees about job listings or the accuracy of the information provided by the employer. The University is not responsible for safety, wages, working conditions, or any other aspect of off-campus employment. It is the responsibility of students to perform due diligence in researching employers when applying for or accepting opportunities.

POSITION SUMMARY:As a data analyst intern, you’ll have the opportunity to develop your skills by learning from and collaborating with a talented team of business and IT professionals. This position is responsible for assisting in data analysis and discovery for critical projects as well as supporting data modeling and technical solutions for the Data and Business Analytics Department. This includes responsibilities (with supervision) of collecting, analyzing, reviewing, documenting, and communicating business needs between NMDP research, operations staff, and IT.ACCOUNTABILITIES:Defines and writes data requirements for the implementation of business solutions for projects of low to moderate complexity. Translates between technical and business languages (i.e., translate business requirements into functional specification for researchers, operations staff, developers, or outside vendors).Analyzes, documents, and manages requirement changes in accordance with standard practice to assist in identifying business priorities including documenting discussions, agreements, and existing processes.Develops analysis models (process flows, activity diagrams, usage models, etc. as assigned), in accordance with standard processes.Assists team members to formulate solution scope, objectives, requirements, and detailed design specifications data models.Conducts data profiling and analysis using a variety of tools and technologies – leverages analysis to identify themes and patterns to inform key insights.Participate in the design and development of dashboards for data visualization and presentation.Provides timely and up-to-date status of assigned tasks and identifies problem areas early.Communicates with and coordinates activities with other members of the Development team.Other duties as assigned.REQUIRED QUALIFICATIONS:Knowledge of:Basic knowledge of databases and datasets including querying, data profiling, and data quality.Ability to:Work effectively with supervision, a self-starter, self-motivated team player able to work in a fast-paced dynamic environment.Demonstrate attention to detail with a quality focus.Demonstrate strong organizational, analytical, and problem-solving skills; self-directed and able to work effectively independently or within project teams.Education and/or Experience:Currently enrolled in in Business Analytics, Mathematics, Economics, Physics, Computer Science, Engineering, or similar degree program at an accredited institution, entering junior or senior year, or recent graduate.At least one class at the undergraduate level requiring use of a programming or analytics language such as Python, R, java or similar.Previous work experience or at least one class in database or data modeling development.PREFERRED QUALIFICATIONS: (Additional qualifications that may make a person even more effective in the role, but are not required for consideration)Preference will be given to students that have class-room or work-related experience using UML and/or SQL.Training or experience in data analytics/science areas, such as time series analysis, forecasting, classification, and regression analysisFamiliar with the development life cycle including testing process and methods, variable programming fundamentals, conditional execution, data structures, compilation and debugging tools of databases.Data visualization tools – e.g. Power BI or Office 365.Equal Opportunity Employer minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity

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CONTACT & LOCATION

Phone
(203) 432-0800
Email
careerstrategy@yale.edu
Address

55 Whitney Avenue, 3rd Fl.
New Haven, CT 06510

SERVICE HOURS

  Academic Year Summer Hours
M 8:30am - 5pm 8:30am - 4:30pm
T 8:30am - 5pm 8:30am - 4:30pm
W 8:30am - 5pm 8:30am - 4:30pm
TH 8:30am - 5pm 8:30am - 4:30pm
F 8:30am - 5pm 8:30am - 4:30pm

The office is closed weekends, holidays, and recess days.

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Office of Career Strategy

The Office of Career Strategy works with students and alums of Yale College and Yale Graduate School of Arts and Sciences as well as Yale postdoctoral scholars from all disciplines. The Office of Career Strategy advisors help students, alums, and postdocs to clarify career aspirations, identify opportunities, and offer support at every stage of career development. Services offered by the Office of Career Strategy for Masters and Ph.D. students are part of a suite of resources supported by the Graduate School of Arts & Sciences to foster professional and career development. Career support for undergraduates is a part of a collection of support offered by the Center for International & Professional Experience.

Contact

55 Whitney Avenue, 3rd Fl.
New Haven,CT 06510
(203) 432-0800
careerstrategy@yale.edu

About CIPE

The Yale College Center for International and Professional Experience (CIPE) is a group of offices that work together, and with other academic advisers on campus, to support undergraduate students throughout their four years at Yale as they make decisions about their academic plans and explore career options. CIPE is composed of the Office of Career Strategy, the Yale College Office of Fellowships, Yale Summer Session, and Yale College Study Abroad.

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