unilever

Business Analyst - Junior

Posted Nov 5, 2019
Project ID: UNILJP00009323
Location
Rotterdam
Duration
a year (Dec 2, 2019 - Nov 30, 2020)
Hours/week
40 hrs/week
Payrate range
Unknown

JOB SUMMARY

· Act as a catalyst to drive analytics driven business decisions across the organization

· Serve as the trusted data and analytics consultant to different functions across the organization

· Engage with stakeholders to understand the problem statement and requirements

· Engage with relevant teams within I&A to source, manage data requirements for analytics and management reporting

· Create analytical modelling solutions to answer business questions

· Work closely with the data science team to build diagnostic & predictive models to solve business problems

· Leverage different statistical techniques to create insights for the business

· Create self-service and simple reporting solutions

· Acquire, integrate, stage & employ data from multiple data sources

· Cleanse data by reviewing data sources to locate and correct code problems

· Opportunity to upskill in Python and SQL, within the Azure Cloud

 

KEY REQUIREMENTS

· Balanced profile of business knowledge/understanding and analytical savviness

· At least 2 years of experience in:

o   Driving insights from large scale structured and unstructured data

o   Data Mining, Exploratory data analysis, and modelling

o   Working with Excel, Power Pivot, Power Query and Power BI

o   Extracting and dealing with data from multiple data sources (e.g. financial systems, Marketing databases, etc.)

· Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

· Continuous learning of new tools & computer languages via external sources that brings direct value to the business

· Clearly articulate technical work to non-technical business owners

· Critical thinking & flexibility to effectively work around technical & business constraints

· Project experience is highly desirable

· Ability to work independently as well as in a team environment

· Bachelor or master’s degree in statistics, econometrics or Math

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