Data analyst

2 meses atrás

CAMPINAS, Brasil Share People Hub Tempo inteiro

Share People Hub in partnership with BEES | AB Inbev, search for a Data Analyst (hybrid model).

About us BEES
We are part of ABInBevs ecosystem, the biggest brewer in the world, and we work to help our customers life using a range of BEES Applications.
As a tech cell of our organization, we have a simple goal: to grow. Grow as people, as professionals, as a company.
To achieve it, we use the technology creating digital solutions that make our customers lives simpler, their decisions smarter and their business more profitable.

About this role
We expect that a true data enthusiastic and inspiring professional join our team to make a daily difference by developing Data products that delivers great Story-Telling to support decision making processes and unlock insights.

What you will do 

Drive commercial strategy by providing insights into current performance, and highlighting opportunity areas for growth. On that, conduct advanced data analysis, clustering, statistical modeling, and machine learning models to answer specific business questions, extract insights and predictive patterns from large datasets to explain and expose potential opportunities from data.

In order to use proper data required for such challenge, develop datasets/schemas consuming data from multiple sources such as internal databases, analytics tools, unstructured sources, and other external sources.

Lastly, produce great data storytelling to drive actions on such opportunities by designing and developing data visualizations using PowerBI.

What you will need

  • BA/BS/MS in Information Systems, Math, Economics, Statistics, Engineering, Computer Science or data science & analytics or related course.
  • Strong analytical, problem solving, conceptual thinking skills and solid statistical analysis background with a focus on delivering data-driven solutions. Good understanding of statistical methods.
  • Work experience in data analytics, data science (in a quantitative and qualitative analysis role).
  • Experience in Cloud solutions like Snowflake, Databricks, Redshift, BigQuery or Teradata
  • Expertise in database querying and reporting tools (SQL + Power BI + DAX). Tableau will be considered as a plus.
  • Work closely with cross-functional teams to execute on decisions.
  • Ability to learn new methodologies, adapt to business needs, and to prioritize business goals.
  • Organized with the ability to work in a self-guided manner, but knows when to ask for help.
  • Superb communication, collaboration, and organizational skills with a general love of problem solving.
  • Excellent documentation and organization skills;
  • Advanced English is a must. Any other languages will be considered a plus.

 

Equal Opportunity & Affirmative Action 

Bees is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics. 

What We Offer: 

    • Performance based bonus* 
    • Fourteen annual salaries*  
    • Private pension plan 
    • Meal Allowance 
    • Casual office and dress code 
    • Days off* 
    • Health, dental, and life insurance 
    • Medicines discounts 
    • Gympass partnership 
    • Zenklub partnership 
    • Childcare subsidies 
    • Discounts on Ambev products* 
    • Newvalue partnership 
    • Scholarship* 
    • School materials assurance 
    • Language and training platforms 
    • Transport allowance 
      *rules applied

Equal Opportunity & Affirmative Action:

Bees is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.

Remember: your data will never be used as elimination criteria in selection processes. With them, Bees is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company. 

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