Data Analyst
Bacardi
Escazu, Costa Rica
hace 7 horas

About the role

Your Opportunity The data scientist role is a job position with the primary responsibility of supporting our BES stakeholders and leadership from various areas of the company such as Finance, Global Operations, Sales, Marketing, Human Resources and other areas with insights gained from analyzing company data collecting and analyzing data to help decision makers make informed decisions.

The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.

The candidate must have strong experience using a variety of data mining / data analysis methods, using a variety of data tools, building and implementing models, using / creating algorithms and creating / running simulations.

S / he must have a proven ability to drive business results with their data-based insights. The candidate must be comfortable working with a wide range of stakeholders and functional teams.

The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Finally, the candidate will have strong Team Work to guide with knowledge the way of conducting data analysis and to provide stakeholders with high value analysis for decision making.

Responsibilities

Generate valuable information out of plain Data The data analyst performs various functions, including data collection and analysis to identify useful trends and provides stakeholders with relevant information that will facilitate informed decisions.

The major tasks, duties, and responsibilities for the data analyst job are :

  • Utilize historical data sets and planned product changes to model and forecast business trends
  • Responsible for tracking and reporting on department initiatives and status reports
  • Analyze the functions and operations for trends, volume, demographics, and operator metrics to support decisions
  • Update and manage information in a web-based case management system
  • Build data models and display data into visuals in Power BI or any other business intelligence and analytics tools within Bacardi
  • Utilize Power BI and other tools for analytics to carry out statistical analysis and ad hoc reporting as required
  • Provide support with technical writing and editing as required
  • Develop analytics to identify trend lines across several data sources within the organization
  • Examine and evaluate existing business practices and systems, and proffer suggestions aimed at creating efficiency and streamlining operations, while maintaining or increasing compliance rates
  • Apply predictive analysis and tools to forecast and employ business analytics (including an enhanced ability to quantify and qualify data)
  • Undertake operational research to identify and recommend optimal / near-optimal solutions to complex challenges.
  • Develop Talent and Capability

  • The Data Analyst will collaborate with internal and external stakeholders
  • Build and foster a solid business partnership with the BES Leadership Team, Leadership Teams in other locations, Bacardi Enterprises Services, Global Operations Leadership Team, and other relevant internal and external customers to understand business requirements and maximize effective decision support.
  • Skills and Experience

    The Skills & Experience needed to create your legacy :

  • Education :
  • Minimum of a Bachelor’s degree in Information Management, Computer Science, Statistics Mathematical, or in a technical field
  • Experience :
  • Minimum 2 years of experience handling databases with large datasets
  • Regardless of their educational background, applicants must possess advanced computer skills , preferred knowledge of additional databases such as SQL Server and MySQL
  • It is also vital that they have a deep knowledge, understanding and experience of reporting tools such as Power BI, Tableau or Business Objects.
  • It is also important that they are familiar with data warehousing, data mining, and data mapping
  • Organizational skills : They may be required to work under tight schedules, so it is important that they can effectively manage and prioritize multiple work assignments

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