Lead the development of an enterprise-wide data strategy, including implementation of solutions around data warehousing, dashboards, and analytics tools. Define the data architecture and analytics initiatives through identifying data types and sources, understanding data and its potential usage, and provide the means to support data-driven decisions.
Key Responsibilities
Lead the development of an enterprise-wide data strategy.
Create and oversee data warehousing strategies that provide consistent, clean, and integrated data.
Establish data policies, procedures, structures, roles, and responsibilities for data, i.e., gathering, storage, retrieval, analysis, and reporting.
Oversee the structuring of data to facilitate current and future data analysis across the organization and support the development, purchase, and/or use of data analytics.
Establish cross-functional data governance and support adoption and adherence to data quality and process governance in the relevant collaborating functional areas.
Identify business and operational data requirements and present ideas on data usage and analysis methodologies to various audiences.
Design, create, and enable performance management through identification of data source and extraction methods and automate where possible.
Support sustainability and integrate solutions that improve efficiency in managing data and analytics.
Facilitate and support an environment that makes data and information accessible with appropriate channels of access control; acts as an enabler in the use of data to improve performance and enterprise-wide strategy formulation.
Conduct extensive analysis, perform gap analysis, support data collection, and gather documentation of existing business operations.
Support the promotion of enterprise-wide use of data to drive organizational transformation activities.
Facilitate member working groups, generating new ideas and testing new approaches, and integrate data and analytics into their business-as-usual and way-of-work.
Requirements
Degree in Business Analysis, Management, Finance, Engineering, or equivalent experience.
Minimum 5 years of working experience in an internal consulting, business analyst, experience with Google Cloud Platform & tools and analytics tools (Tableau, PowerBI, QlikView), data warehousing, and ETL, project or change management role.
1-2 years at a management consulting firm or in property development/real estate will be beneficial.
At least 3 years of experience on Google Cloud Run, Cloud SQL, Cloud Build, Cloud Functions, Artifact Registry, BigQuery, Load Balancer, Cloud Storage, Cloud Composer, Compute Engine, Data Fusion, Kubernetes Engine, Gen AI Search & Conversation.
At least 3 years of experience on MS Power BI, Power BI Data Gateway, Power Automate, Power Apps, Power BI API, Azure Apps Setup.#J-18808-Ljbffr