Data Analyst Intern @ EA

The challenge ahead

The Data Analyst role, in Testing & QA organization, will be responsible for assembling data from multiple sources, conducting analyses, performing research, interacting with different internal customers, designing, documenting, and implementing analytical solutions, as well as compiling and presenting results, in graphical and written summaries, to a variety of audiences.
You will be responsible for building metrics reporting systems and for tracking process improvements across the organization. You will excel in a fast paced environment, managing multiple responsibilities and deadlines in an internationally based team.
The ideal candidate would be an effective communicator who combines solid technical skills with pride in excellence, who also demonstrates the potential to grow into a client-facing consulting role and/or an analytical consulting role (i.e. development of simulation models).

Conduct analysis using statistical software, databases, and spreadsheets
Design, evaluate and monitor key metrics, understanding root causes of changes in metrics
Build and analyze live dashboards and reports
Develop and maintain scripts and queries to import, manipulate, clean, transform data from different sources
Assemble and maintain databases to empower operational and exploratory analysis
Create, operate and maintain script-driven methodologies for the generation of analysis and reports.
Perform quality assurance on generated results to ensure accuracy and consistency
Preparation of “client ready” deliverables
Prepare professional results in presentation and document format
Quality assurance on final results for consistency and accuracy
Interacting with clients and client organizations
Dealing with data providers in internal client organizations, specifically in the development of data requests, checking of data received, and follow up with data providers on data issues.
Dealing directly with clients on projects involving technical methodologies
Presenting results to clients in a clear and respectful manner, and maintaining professionalism in collecting feedback
Project management and quality assurance of active projects

Qualifications

Data Analysis - good knowledge of R language, MS Excel mastery, including VBA, PivotTables, and array functions - or other similar tools used for discovering data patterns and correlations through statistical methods
Strong math and analytical skills including statistics, simulation, and optimization - Understanding of correlation, regression, classification and other statistical methods used to look at the data from different angles for use in prescriptive and predictive models
Experience in working with large operational data sets, involving categorical data for solving classification problems, is a strong plus.
Knowledge of Tableau, and/or Power BI.
Must have good database and SQL knowledge. Nice to have programming skills HTML, JavaScript, CSS, D3.js.
Unstructured Data handling - Know best practices on how to stage unstructured data and properly model it to solve the problem at hand
Ability to prepare professional documents and presentations using Microsoft Word and PowerPoint
Takes pride in achieving excellence - detail oriented, organized, careful and takes mistakes seriously
Self-motivated and self-driven, with demonstrated ability to quickly and independently learn new concepts
Thrives in challenging situations, considers them as opportunities for growth, and deepens its knowledge in the process
Strong problem solving and creative thinking skills
Ability to start and maintain strong partnerships between valuable customers
Strong written and verbal communication and skills – ability to tell a compelling story supported by data
Professionalism in working with clients and working in a team environment