Data Scientist Bussiness Intelligence

**BAT is evolving at pace - truly like no other organization.****To achieve the ambition, we have set for ourselves, we are looking for colleagues who are ready to live our ethos every day. Come be a part of this journey****BAT MEXICO** **IS LOOKING FOR A** **DATA SCIENCE - BUSSINESS INTELLIGENCE****SENIORITY LEVEL**:Managerial**FUNCTION**: Digital Bussiness Solutions (DBS)**LOCATION**:Monterrey**ROLE POSITIONING AND OBJECTIVES**The role is responsible for lead & deliver projects of Data, Analytics, Visualization as assigned by the Team Manager. In addition, this role is expected to be an expert in delivering BI/Visualisation solutions. Working with a diverse and highly skilled team, this role will combine technical expertise with business strategy to take the business to the next level.The projects thus delivered is will help the business to take better decisions and create value for them as well as provide objective, timely and relevant information/analysis.**Reports to**:Senior Data Scientist**Reporting Level**:Managerial**Geographic Scope**:US**WHAT YOU WILL BE ACCOUNTABLE FOR**- Support 1 to 3 new development projects at a given time.- Deliver end-to-end D&A solutions / outcomes as per specifications under expert supervision.- Operational understanding of BI concepts and working knowledge/experience on MSTR (MicroStrategy ).- Develop analytical approaches to answer business questions and handle, support and create end user reports.- Demonstrate the power of data & analytics to find opportunities to drive growth of the company and enable timely and quality decision making.- Able to manage, transform & connect various data sources and extract powerful insights.- Mine and analyze data from existing or new databases using different techniques and languages such as SQL & Phyton to query & manage various large data sets. Needs to be able to tweak queries for best performance.- Follow agreed processes to deliver outcomes efficiently & within agreed SLAs with a continuous improvement mindset.**CAN THIS BE YOUR FUTURE ROLE?**- Would you like to develop your career in a fast phased environment with global scope?**ESSENTIAL EXPERIENCE, SKILLS AND KNOWLEDGE**- Graduate in Engineering / Statistics / Economics / Maths / Analytics or other quantitative discipline.- Minimum of 4 years of hands-on working experience in Dashboarding / Data Visualization / delivery out of which minimum of 1 year in MSTR development or Tableu is a must.- Proficient sory teller / Hands-on experience using visualization tools such as Microstrategy, Tableau, Reporting Services (SSRS), OBIEE, BI Publisher, Oracle Analytics Server (OAS), Qlik View and UI/UX Tools and packages (Dash, Shiny, Bokeh, etc.)- Ability to learn quickly and thrive in an entrepreneurial environment - is a curious self-starter, flexible problem solver, and embrace an agile mentality.- Advanced fluency in English verbal and written- Experience working with a range of BI & analytics architectures. These may include: traditional warehousing, Cloud (AWS, Azure, Amazon S3, Teradata, Snowflake, etc.), visualization, etc.- Experience in Agile methodologies.- Hands-on experience in programming languages: SQL, Python**WE ARE BAT**At BAT we are committed to our Purpose of creating A Better Tomorrow. This is what drives our people and our passion for innovation. **See what is possible for you at BAT.**- Global Top Employer with 53,000 BAT people across more than 180 markets- Brands sold in over 200 markets, made in 44 factories in 42 countries- Newly established Tech Hubs building world-class capabilities for innovation in 4 strategic locations- Diversity leader in the Financial Times and International Women’s Day Best Practice winner- Seal Award winner - one of 50 most sustainable companies**BELONGING, ACHIEVING, TOGETHER**Collaboration, diversity and teamwork underpin everything we do here at BAT. We know that collaborating with colleagues from different backgrounds is what makes us stronger and best prepared to meet our business goals. **Come bring your difference