Data Scientist

hace 3 semanas

Tlaquepaque, México Herbalife A tiempo completo

Overview:
**Data Scientist | Level: Staff IV**

Recruiter: Manuel Garcia

This position reports to: Andes Chavarro, Manager, Business Analytics

This position will be responsible for the creation and optimization of the Reports / Dashboards to support the decision-making process across The Americas.Likewise, it will support with Ad-Hoc analysis with valuable information for greater visibility towards the Management Team.Will report directly to the Supervisor GBS - Business Analytics Team in Guadalajara

Job Qualifications:

- Bachelor’s degree in Finance, Business Intelligence, Finance Engineering
- Experience in data analysis, reports, and dashboards creation
- Experience in business intelligence tools (Microstrategy)
- Proficient in Excel
- Time management
- Presentation, reporting and communication skills

40% TECHNICAL
- Statistics & Mathematics 25%
- Software Engineering 25%
- Programming 25%
- Data Wrangling 15%
- Machine Learning 10%

40% ANALYTICAL
- Sales & Marketing Plan 30%
- Business acumen 30%
- Analysis 25%
- Data Visualization 10%
- Intellectual curiosity 5%

20% INTERPERSONAL
- Teamwork 25%
- Communication 20%
- Data Intuition 20%
- English 15%
- Project Management 10%
- Leadership 10%

This position should have an internal sublevel, according to the next qualifications ( appendix ):

- Entry: between 1.6 and 2.0
- Plain: between 2.1 and 2.5
- Senior: between 2.6 and 3.0

DETAILED RESPONSIBILITIES:

- Performing complex analytics and statistical modelling on large data sets to identify market/business sector trends, customer buying patterns, etc. to inform business, product development, and marketing decisions.
- Creating data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify target customer segments and simulate the impact of new product launches and marketing campaigns, etc.
- Quantifying the revenue impact of various online marketing, e-commerce strategies, promotions, etc.
- Analyzing business intelligence data to inform business and product decisions
- Blending historical data from available industry reports, public information, field reports or purchased sources as input to analyses
- Identifying and analyzing industry/geographic trends and competitor market strategies and monitoring current/potential customer trends.
- Partners with other areas of the business (e.g., Marketing, Logistics, Customer Service, etc.) to model the outcome of implementing potential business strategies.

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