Sales Data Analyst

Job description

Find your own direction

·  LocationSanta Monica, California, United States
·  ScheduleFull-time
·  OrganisationRed Bull Distribution Company

Areas that play to your strengths

(all the responsibilities we'll trust you with)

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·  Business Understanding/Data Understanding

Review of business requirements

Review of available data

Fit-gap analysis

Awareness of the applications of analytics to business.

The ability to translate business questions in data and translate analysis results to the business.

A passion for empirical research.

Ability to view the “big picture” while paying attention to the detail.

·  Data Preparation

Data cleansing and structuring, data harmonization

A good understanding of (and interest in) how data ‘works’.

Understanding of different elements of data quality.

Strong proficiency in Microsoft Excel.

Familiarity with relational databases/SQL.

·  Data Modeling

Definition of modeling requirements

Model validation and testing

 

·  Evaluation

Documentation, presentation, and review of analytical output

Desired profile

Your experience includes:

(proven performance in)

· 
A good understanding of (and interest in) how data works

· 
Understanding of different elements of data quality

· 
Strong proficiency in Microsoft Excel

· 
Familiarity with relational databases/SQL

· 
Basic knowledge of statistical measures and techniques

· 
Knowledge of or exposure to R, Python or other statistical programming languages/tools is a plus

· 
Understands the importance of data visualization and the difference between good and bad data visualization

· 
Understanding of different types of data visualization and their purposes

· 
Experience with data visualization tools (Tableau, Qlik) and techniques is a plus

· 
Excellent problem solving skills

· 
Strong ability to communicate with stakeholders on all organizational levels and with different cultural backgrounds

· 
A quick learner, self-motivated and able to work independently

· 
Strong understanding using technology when extracting deep data, demonstrated analysis experience, having worked with large data sets through statistical software such as SAS, R, Access and Excel

· 
3-5 years experience in a Data visualization role