Delivery Lead & Data Science

at  British American Tobacco

Monterrey, N. L., Mexico -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate29 Jan, 2025Not Specified01 Nov, 20245 year(s) or aboveGood communication skillsNoNo
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Description:

WHY JOIN BAT?

We’re one of the few companies named as a Global Top Employer by the Top Employers Institute – certified in offering excellent employee conditions.
At BAT, we champion collaboration, inclusion, and partnership as the bedrock of our values. We wish to foster an environment where every individual can thrive, irrespective of factors such as gender, sexual orientation, marital or civil partnership status, gender reassignment, race, religion or belief, colour, nationality, ethnic or national origin, disability, age, skills, experience, education, socio-economic and professional background, as well as diverse perspectives and thinking styles. We recognise that our strength lies in embracing talent from all walks of life, empowering us to develop our culture of inclusivity and better achieve our business objectives.
We view career breaks not as obstacles but as opportunities and encourage everyone, without hesitation, to apply. Through our Global Returners program, we provide support to professionals seeking to re-enter the workforce after an extended absence, be it for family care, parental leave, national service, sabbatical, or starting their own venture.
Come bring your difference and see what is possible for you at BAT. Learn more about our culture and our award winning employee experience here.
We take pride in being a Disability Confident Employer. If you need any reasonable adjustments or accommodations to be made during the recruitment process to support you performing at your best, please inform the recruitment partner who will be in touch should your profile be selected for the role you applied for. We are wholeheartedly committed to optimising your prospects of success by making suitable arrangements so that you may showcase your full potential

Responsibilities:

  • Build and improve visual tools for application development and data science that enable users to build an end-to-end application quickly and supervises the POS & VAPS data process to ensure OTIF delivery of performance reporting.
  • Design core elements, and properties by understanding the software requirements, constraints, interfaces, and dependencies.
  • Write clean, maintainable, and well-documented code and identify and tackle technical challenges, and proactively propose solutions to improve the application architecture and performance.
  • Active participation in cross-team technical design discussions on application architecture, UI components, UX, back-end and third-party integration, and testing and create and establish data pipelines that enable an accurate and timely read on performance at all levels of the organization.
  • Support in creating an ETL pipeline automating both the POS and VAPS process that’s highly critical for the company to understand performance and work with Key account and trade team to create & maintain the ETL process.
  • Enable and drive effective data management architecture for a fully scalable and digital Trade application and support in the deployment of brand new sophisticated analytics solutions for trade and head office that cover FMCG and NC (eg. Event based sims, geospatial analytics, IR).
  • Leverage partnerships with Data & Analytics CoE and external suppliers to deliver sophisticated analytics projects and establish standard methodologies for new tools and technologies and bring new ideas to the data science practice and support the augmentation of the data science roadmap.
  • Lead and prioritize new developments in our environments, including new data sources across channels and categories to ensure the enablement of efficient performance tracking and effective insights generation across Marketing


REQUIREMENT SUMMARY

Min:5.0Max:10.0 year(s)

Information Technology/IT

Analytics & Business Intelligence

Software Engineering

Graduate

A field such as computer science or analytics

Proficient

1

Monterrey, N. L., Mexico