
Data Strategy Lead
7 days ago
About the Role
A talented Business Intelligence Solutions Architect is required to design and implement data strategy in finance space, including controllership, FP&A, and GPO. This role involves collaborating with senior stakeholders to develop technical solutions that deliver scalable analytical solutions leveraging cloud and big data technologies.
Key Responsibilities:
- Act as a key member of the consulting team helping clients to re-invent their corporate finance function by leveraging advanced analytics.
- Develop technical solutions to deliver scalable analytical solutions leveraging cloud and big data technologies.
- Collaborate with Business Consultants and Product Owners to design and implement technical solutions.
Technical Skills and Experience Required:
- Hands-on experience with data ingestion, processing, and orchestration tools such as Dataflow, Pub/Sub, Dataproc, Cloud Composer, and Data Fusion.
- Deep expertise with GCP data warehousing and analytics services including BigQuery, Cloud Storage, and Looker.
- Familiarity with Data Mesh, Data Fabric, and Data products, Data Contracts, and experience in data mesh implementation.
Benefits:
This role offers a unique opportunity to work on cutting-edge technology and be part of a dynamic team. You will have the chance to collaborate with senior stakeholders and contribute to the development of business-critical solutions.
Requirements:
- Strong understanding and practical experience with different data modelling techniques, relational, star, snowflake, DataVault, etc.
- Working with transactional, time-series, and unstructured datasets.
Skills & Experience Required:
Demonstrated experience in delivering multiple data and analytics solutions on GCP is essential. The ideal candidate will have hands-on experience coding in Python, SQL, and Spark, with the flexibility to pick up new languages or technologies quickly.
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