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Brown-Forman Revenue Growth Management Analyst / Data Scientist in Prague 1, Czech Republic

Meaningful Work From Day One

This position is responsible for performing Revenue Growth Management (RGM) data analysis, modeling and tool development that supports the Europe region. This position will partner closely with the RGM roles, Finance & Sales organization, and Advanced Analytics teams to ensure the utilization of best practices that drive RGM analytic capabilities and standardized automated reporting to enable actionable insights that inform pricing strategy and the commercial teams’ ability to deliver long term brand value in line with RGM priorities.

The RGM Analyst will be expected to exhibit the following capabilities:

  • Develop actionable analytical tools utilizing Tableau

  • Seek efficiencies in current reporting tools

  • Ability to utilize both internal reporting metrics and external metrics utilizing Nielsen

  • Partner with RGM, Finance and Sales teams to identify analytic needs

  • Ability to leverage multiple sources of data and advanced tools to develop directive analytics which includes strong visualization of the data

  • Outstanding oral and written communication skills to train and explain data methodologies and output

What You Can Expect

Data Visualization

  • Design, implement, and Support RGM function reporting using advanced data visualization and analytics tools, with a specific focus in Tableau

  • Design and build publication-ready data visualizations using diverse sets of structured and unstructured data

  • Monitor and resolve performance issues specific to dashboard development and delivery

  • Work with the Advanced Analytics team applying visualization best practices

Analytics

  • Collaborate with functional teams to identify data-driven solutions to ongoing needs

  • Collaborate with the various analytical teams within the organization to discover new and creative data usage and delivery

  • Build causal and predictive pricing models utilizing statistical programming languages such as R based on integrated data of various structures from numerous sources stored in Brown-Forman’s data lake environment

  • Design algorithms for building new data and features to expand reporting capabilities

  • Create Deployment code for queries in R to run automatically on historic data and for systematic updates, and collaborate closely with the Business Intelligence team to deploy across the enterprise

Cross-Functional Partnerships

  • Work in tandem with the Advanced Analytics team to develop distributed computing capabilities to handle large-scale data storage and computation for analytical purposes.

  • Deliver actionable reporting tools and methodologies for use across the finance, brand and sales organizations for strategic decision-making, allowing all areas of Brown-Forman to succeed within their respective functions

  • Strategize in collaboration with cross-functional teams to identify data-driven solutions to ongoing needs across the organization

  • Move forward multiple projects by employing project management techniques

  • Diagnose and resolve data integrity issues and provide daily end user support on how our underlying results are calculated in the system

  • Optimize and automate current reporting systems/processes

What You Bring to the Table

  • University degree in Economics, Statistics, Mathematics, Computer Science or related field

  • Several years of relevant work experience, preferably within the Beverage Alcohol or FMCG / CPG industries

  • SAP Analysis for Office query experience

Technical Qualifications

  • Experience in analyzing large, complex, multi-dimensional datasets with a variety of tools, and accomplished in the use of statistical analysis environments, with a specific focus in R

  • Experience with RStudio Server Pro, RStudio Connect, and using RMarkdown for creation of deliverables

  • Experience with relational databases such as SQL and NoSQL, as well as Hadoop-based data mining frameworks

  • Demonstrated ability to independently prepare sophisticated descriptive analysis with accuracy and calibration within an established time frame

  • Ability to read and understand mathematical formulae with the capability of applying new concepts to existing problem sets

  • Understanding of both structured and unstructured data, the benefits of both, and when / how to apply them

  • Experience applying statistical concepts and knowledge to real-world applications

  • Experience with Tableau, including proven record of driving adoption

Nothing Better in the Market

Total Rewards at Brown-Forman is designed to engage our people to ensure our sustainable and profitable growth for generations to come. As a premium spirits company, we offer premium and equitable pay & bonus for individual and company performance. We offer a range of premium benefits that reflect our company values and meet the needs of our diverse workforce​.

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Brown-Forman Corporation is committed to equality of opportunity in all aspects of employment. It is the policy of Brown-Forman Corporation to provide full and equal employment opportunities to all employees and potential employees without regard to race, color, religion, national or ethnic origin, veteran status, age, gender, gender identity or expression, sexual orientation, genetic information, physical or mental disability or any other legally protected status.

Business Area: Global Finance

City: Prague 1

State:

Country: CZE

Req ID: JR-00002302

Brown-Forman Corporation is committed to equality of opportunity in all aspects of employment. It is the policy of Brown-Forman Corporation to provide full and equal employment opportunities to all employees and potential employees without regard to race, color, religion, national or ethnic origin, veteran status, age, gender, gender identity or expression, sexual orientation, genetic information, physical or mental disability or any other legally protected status.

Accommodations available upon request including an Interpreter.

Applicants to and employees of this company are protected under Federal law from discrimination on several bases. Follow the links below to find out more.

EOE Minorities/Females/Protected Veterans/Disabled/ Sexual Orientation & Gender Identity

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