4-6 years of overall career experience in Performance Analytics or 2-3 years post MBA/Masters experience In Performance Analytics
Undergraduate degree with data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics
Experience managing clients or internal stakeholders
Ability to analyze large datasets and synthesize key findings
Proficiency using data analytics software (e.g., Python, R, SQL, SAS)
Advanced Word, Excel, and PowerPoint skills
Ability to perform multiple tasks with multiple clients in a fast-paced, deadline-driven environment
Ability to communicate effectively in English and the local office language (if applicable)
Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs
Preferred Qualifications
Additional data and analytics experience in building, managing, and maintaining database structures, working with data visualization tools (e.g., Tableau, Power BI), or working with Hadoop framework and coding using Impala, Hive, or PySpark
Ability to analyze large datasets and synthesize key findings to provide recommendations via descriptive analytics and business intelligence
Experience managing tasks or workstreams in a collaborative team environment
Ability to identify problems, brainstorm and analyze answers, and implement the best solutions
