You will represent and communicate data requirements to help us understand our data assets and the relationships among them. You will investigate, analyze and scope data requirements to support the development of data integration, data retrieval and reusable data sets.
How you will contribute
You will:
- Analyze business requirements as a guide for data modeling and apply data analysis, design, modeling, and quality assurance techniques, based on a detailed understanding of business processes, to establish, modify or maintain data structures and associated components (entity descriptions, relationship descriptions, attribute definitions
- Advise on the details of data structures and associated components
- Manage the iteration, review and maintenance of data requirements and data models and you will assist in creating the sematic layer of data
- Have cross-functional understanding to create reusable data assets
- Choose a suitable data modeling approach for each project, such as by assessing the suitability of existing data models and build data models with the flexibility to change when business requirements change
- Reconcile multiple logical source models into a single, logically consistent model and you will ensure that the proposed model follows data architecture guidelines and best practices
- Rationalize the relationships expressed in the logical data model to the schema of the physical data store (that is, database tables and columns)
What you will bring
A desire to drive your future and accelerate your career and the following experience and knowledge:
- Extensive experience in data modeling in a large complex business with multiple systems
- Ability to simplify complex problems and communicate them to a broad audience
More about this role
We are seeking highly skilled and motivated professionals with background in Revenue Growth Management.
What you need to know about this position:
The incumbent MUST HAVE:
- Background in CPG, RGM, Price & promo analytics and modelling, Trade promo management, Price Pack Architecture
- Ability to liaise with business teams to understand the business requirements for change requests and perform code changes due to CRs.
- Business facing role, being able to train on methodology and provide business interpretation of the process and output of model.
What extra ingredients you will bring:
- The successful candidate will be responsible for designing, developing, and deploying data science solutions that drives business values for stakeholders.
- Role involves working with wide range of data, structured and unstructured, experience who have facilitated business workshops, led data science projects, and set up machine learning operations.
- The incumbent will be in charge of managing the data science product which requires expertise above that of a typical data scientist.
- Collaborate with cross-functional teams, including software engineers, product managers, and business stakeholders, to understand business needs and identify data science opportunities.
- Design and implement data science models and algorithms to solve complex business problems using GCP/Azure Databricks platform.
- Collect, clean, and preprocess large datasets from various internal and external sources.
- Streamlining data science process working with Data Engineering, and Technology teams.
- Managing multiple analytics projects within a Function to deliver end-to-end data science solutions, creation of insights and identify patterns.
- Develop and maintain data pipelines and infrastructure to support the data science projects
- Communicate findings and recommendations to stakeholders through data visualizations and presentations.
- Stay up to date with the latest data science trends and technologies, specifically for GCP companies
Education /Certifications:
Bachelor s or Master s in Computer Science, Engineering, Computational Statistics, Mathematics.
Job specific requirements:
- Strong knowledge of machine learning and statistical modeling techniques in a in a clouds-based environment such as GCP, Azure, Amazon
- Experience with programming languages such as Python, R, Spark
- Experience with data visualization tools such as Tableau, Power BI, and D3.js
- Strong understanding of data structures, algorithms, and software design principles
- Experience with GCP platforms and services such as Big Query, Cloud ML Engine, and Cloud Storage
- Experience in configuring and setting up the version control on Code, Data, and Machine Learning Models using GitHub.
- Self-driven, be able to work with cross-functional teams in a fast-paced environment, adaptability to the changing business needs.
- Strong analytical and problem-solving skills
- Excellent verbal and written communication skills
- Working knowledge with application architecture, data security and compliance team.
